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  • Safari, an O’Reilly Media Company  (374)
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  • 1
    Online Resource
    Online Resource
    Introducing Azure SQL Database : From Deployment over Migration to Monitoring (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484252765
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Discover everything you need to know to get started with Azure SQL Database, from deployment, to key features to migration and monitoring! This video introduces Azure SQL Database, a general-purpose relational database-as-a-service (DBaaS). Beginning from a base deployment of an Azure SQL instance, you will be introduced to the cloud-native features of the service and discover how to run highly available and production-ready database back-ends on Azure, without the underlying database server virtual machines. After the base deployment walkthrough, you'll learn how to replicate business-critical databases across multiple regions, as well as how to migrate a database from on-premises or VM-based scenarios to Azure SQL Database. What You Will Learn Understand Azure Database Services and Azure SQL Database Deploy an Azure SQL Database instance Scale Azure SQL Database using elastic pools Migrate a database from on-premises to Azure Troubleshoot Azure SQL Database Who This Video Is For Data professionals who want to learn about migrating, deploying, and monitoring Azure SQL Database. Viewers should have an Azure subscription (trial, MSDN, AzurePass, CSP, EA, pay as you go).
    Note: Online resource; Title from title screen (viewed August 1, 2019)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    MTA 98-364 : Database Fundamentals LiveLessons (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Learn the fundamentals of databases and prepare for the Microsoft Technology Associate (MTA) exam 98-364: Database Fundamentals. Overview In MTA 98-364 Database Fundamentals LiveLessons , you gain the knowledge required to work with and design relational databases and prepare for Microsoft MTA Exam 98-364. Drawing on his experience as a SQL Server MVP, Eric Johnson guides you from the basic elements of databases, such as tables and indexes, and progresses into the principles of database design and layout. Building on that foundation, you learn how to perform more advanced skills, such as database administration, backup, and security. Topics are organized into easily digestible lessons so you can learn these skills with ease. This video course, along with additional study, helps you achieve the hands-on experience recommended to take the exam and demonstrate your mastery of database fundamentals. Skill Level Beginner Learn How To Understand concepts involved with database storage Perform database normalization Create database objects Manipulate data in databases Secure databases Back up and restore databases Who Should Take This Course Developers and system administrators with no prior experience working with databases Course Requirements Knowledge of Windows operating system IT background with no prior database experience About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Database Fundamentals LiveLessons (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Learn the fundamentals of databases. Overview In MTA 98-364 Database Fundamentals LiveLessons , you gain the knowledge required to work with and design relational databases and prepare for Microsoft MTA Exam 98-364. Drawing on his experience as a SQL Server MVP, Eric Johnson guides you from the basic elements of databases, such as tables and indexes, and progresses into the principles of database design and layout. Building on that foundation, you learn how to perform more advanced skills, such as database administration, backup, and security. Topics are organized into easily digestible lessons so you can learn these skills with ease. This video course, along with additional study, helps you achieve the hands-on experience recommended to take the exam and demonstrate your mastery of database fundamentals. Skill Level Beginner Learn How To Understand concepts involved with database storage Perform database normalization Create database objects Manipulate data in databases Secure databases Back up and restore databases Who Should Take This Course Developers and system administrators with no prior experience working with databases Course Requirements Knowledge of Windows operating system IT background with no prior database experience About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Practical GraphQL - Become a GraphQL Ninja (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838823009
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 13 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A practical course to get you up to speed with the key aspects of GraphQL, including queries, mutations, scalar types, image management, authentication, and authorization About This Video Learn the key aspects of GraphQL and create sample applications Explore how to create custom scalars, how authentication and authorization work in GraphQL, and much more In Detail Have you heard about GraphQL? Have you always wanted to understand GraphQL? If yes, this course will help you learn about GraphQL in a hands-on manner. As you progress through the course, you will acquire the skills necessary to understand and work with GraphQL's basic as well as advanced features, including but not limited to the following: Understand basic scalar types Create custom scalars Become familiar with resolvers and type definitions (Schemas) Understand the importance of a data model in GraphQL Explore how GraphQL queries work, including parameterized queries Gain working knowledge of GraphQL mutations Get to grips with how file uploads work using GraphQL Learn how to serve images in the GraphQL context Study how authentication and authorization work in GraphQL You’ll create four sample applications: A basic application to run GraphQL queries An advanced application that uses React to work with GraphQL Enhance the existing application and extend it with authentication and authorization An application to understand how to serve/display images and upload files using only GraphQL In this course, you’ll mostly use Apollo GraphQL services for building your apps. Familiarity with React is required to get started with this course. You’ll use React to create several applications; however, it only covers the React parts that are relevant to the context. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/fullstacktraining/Practical-GraphQL-Become-a-GraphQL-Ninja . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 22, 2019)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Controlling LEDs with Arduino (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484248836
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This video focuses exclusively on LED control and gradually builds in difficulty to integrate more complicated circuits and coding concepts in the Arduino IDE. LEDs are great for visualizing data so you will be able to see some of the more complicated concepts, such as pulse width modulation (PWM) and analog control, in real time on the breadboard. In this video, you will cover LED control with Arduino, beginning with some simple LED blinking (the “hello world” for electronics) and then build step-by-step by adding extra hardware to interface with the code and circuits (buttons, potentiometers, and so on). This video also explores how the different types of pins on the Arduino (digital, PWM-enabled, and analog) can affect how you control LEDs. You'll also experiment with data visualization, both with LEDs and the Arduino IDE’s built-in software visualizers. This video provides an interactive learning experience and with the building block approach you'll be able to gradually step into new concepts. What You'll Learn --Breadboard the circuits and code along with the video --Apply the core concepts further in your own projects later --Master LED control with Arduino, from blinking to Charlieplexing and everything in between Who This Video Is For Beginning to intermediate Arduino users who want to have a well-rounded knowledge on how they can control LEDs wim.
    Note: Online resource; Title from title screen (viewed April 13, 2019)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    The Complete Cybersecurity Bootcamp (Video Collection) : Threat Defense, Ethical Hacking, and Incident Handling (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: More than 25 Hours of Expert Video Instruction This course is a complete guide to help you get up and running with your cybersecurity career. You will learn the key tenets and fundamentals of networking and security basics; cybersecurity management, monitoring and analysis; network security telemetry; digital forensics and incident response (DFIR); fundamentals of ethical hacking and penetration testing; advanced wireless hacking and pen testing; mobile device security, and IoT Security. This Complete Video Course provides a complete learning path for building your skills as a cyber security professional. You will start with the fundamental concepts, so you can increase your core knowledge before quickly moving on to actually working through pen testing and ethical hacking projects—so you can start to build your skills. Omar Santos, best-selling Cisco Press and Pearson security author and trainer, has compiled the lessons in this title from other training courses. You will find that the lessons build on each in an easy-to-follow organization, so you can move through the topics at your own pace. This course provides supplemental material to reinforce some of the critical concepts and techniques that the reader has learned and provides scripts that help you build your own hacking environment, examples of real-life penetration testing reports, and more. This material can be found at theartofhacking.org. Topics include: Module 1: Networking and Security Basics Module 2: Cybersecurity Management, Monitoring, and Analysis Module 3: Network Security Telemetry Module 4: Digital Forensics and Incident Response (DFIR) Module 5: Fundamentals of Ethical Hacking and Penetration Testing Module 6: Advanced Wireless Hacking and Penetration Testing Module 7: Mobile Device Security Module 8: Internet of Things (IoT) Security About the Instructor Omar Santos is an active member of the cyber security community, where he leads several industry-wide initiatives and standards bodies. His active role helps businesses, academic institutions, state and local law enforcement agencies, and other participants dedicated to increasing the security of their critical infrastructures. Omar is the author of more than a dozen books and video courses, as well as numerous white papers, articles, and security configuration guidelines and best practices. Omar is a principal engineer of the Cisco Product Security Incident Response Team (PSIRT), where he mentors and leads engineers ...
    Note: Online resource; Title from title screen (viewed April 2, 2019)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Spotlight on Learning from Failure : Data Ethics Is Good Business with Heather Krause (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Ethical lapses aren’t just embarrassing and expensive—they can put your organization at serious risk in a number of ways and damage its reputation and bottom line. If you collect any kind of data, you’re more vulnerable to ethical errors than you may realize. From acquisition and model-building to algorithms, it’s critical to view all aspects of data science through an ethical lens and implement best practices to ensure accuracy. We need only look to some very public failures as proof. Learn about three cases when data ethics mistakes cost companies both money and trust—and how your business can avoid their mistakes. Recorded on January 29, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Note: Online resource; Title from title screen (viewed August 27, 2019)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Using Redux with React LiveLessons Video Training (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 5+ Hours of Video Instruction Web applications of today are becoming increasingly more complex. Our apps commonly need to request data from various sources and handle rich user interactions, which can become difficult to keep track of as our apps scale. Luckily, if you are using the React framework, there are many ways to solve these problems. React has emerged as the industry standard for JavaScript frameworks. With more than 3 million weekly downloads from the NPM package manager—and heavy usage by leading companies such as Google, Microsoft, Netflix, Twitter and so many more—React is a leading framework. Learn how to unlock the power of React with the Redux library to provide creative solutions and highly flexible web components. In larger applications, many developers and teams lean on Flux-style architectures, such as those implemented by the Redux library, which have proven to be highly scalable and easily testable. Instructor Dave Lunny covers how you can develop successful web applications with these powerful technologies. Description In this 5 hour LiveLesson, Dave Lunny provides a deep dive into the concepts behind Flux-based architectures like Redux, showing how to use unidirectional data patterns to help simplify your web applications. Lunny uses a mix of screen casting, slides, and personal narrative to cover modern development patterns, demonstrating how to solve state management issues that can arise—such as higher-order components, render props, and context. Skill Level Beginning-Intermediate What You Will Learn How to simplify the way data flows through applications A full understanding of the concepts behind Flux-style architecture and how to think in Redux Exciting concepts to help make components more flexible A keen understanding of the overarching concept behind Redux and how the library fits into a modern front-end JavaScript stack How to use Redux with React Advanced React patterns, such as higher-order components, render props, and the Context API Who Should Take This Course Web Developers Javascript developers Course Requirements Pre-requisites: A working knowledge of modern JavaScript (ES6+), as well as some basic CSS/HTML knowledge. Understanding of common web development best practices, specifically the benefits of building reusable UI components. Intermediate knowledge of the React JavaScript framework. About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technolo...
    Note: Online resource; Title from title screen (viewed April 18, 2019)
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    Spotlight on Innovation : Building Resilient Systems with Heidi Waterhouse (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: LaunchDarkly’s Heidi Waterhouse shares some of the biggest challenges in feature management. In a perfect world, we’d develop tidy, discrete features that are easy to manage. But in reality, we’re often struggling with a complicated snarl of features that are difficult to test and deploy. Heidi explains how you can use feature management design to build modular, testable, resilient systems. Recorded on April 23, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    T-SQL Data Manipulation : Inserting, Updating, Deleting, and Merging in SQL Server (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484249932
    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This video course teaches how to go beyond writing SELECT statements and to manipulate data within your database tables. You’ll begin with an introduction to Data to Data Manipulation Language (DML) that covers the INSERT, UPDATE, and DELETE statements. You’ll use these three statements most often, and they are the next most common three to use following the SELECT statement that has been covered earlier in this series. Watching the video, you’ll learn how to use these three statements to insert new data into your database to tables, and to update data in place without having to bring it down to the client and push it back and forth network. You’ll also learn to delete data when it’s no longer needed. Also covered in the video is the MERGE statement. You’ll learn how this little used but very useful statement works to make extract, transform, load (ETL) processes much more streamlined. You’ll learn to throw large numbers of rows at your database, letting the MERGE statement sort out which rows represent new data to be inserted, and which represent updates to existing data. You’ll be able to write cleaner load processes for data warehouses, data marts, and other reporting statements using your knowledge of MERGE. You’ll also learn some fast ways to delete data from database tables. In addition to DELETE, you’ll learn about DROP and TRUNCATE. These statements provide you with options for quickly deleting data. Each has their best use, and this video helps you to make the correct choices and avoid unwanted downtime in your production database environments. Finally, you’ll learn about identity columns and sequences, using them to generate primary keys to uniquely identify new rows of data that you are storing in your database tables. Throughout this video you’ll learn the gamut of data manipulation statements that SQL Server places at your disposal, and when each is best applied. What You Will Learn Add data to your database using INSERT and MERGE statements Update data in place without sending it back and forth over the network Choose correctly from three possible ways of removing unwanted data Streamline ETL process used to load data marts and data warehouses Automatically generate primary keys to uniquely identify new records Who This Video Is For For business analysts, developers, and others whose career will benefit from a knowledge of the SQL language for accessing Microsoft SQL Server databases and manipulating the data they contain.
    Note: Online resource; Title from title screen (viewed May 21, 2019)
    URL: lizenzpflichtig
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  • 11
    Online Resource
    Online Resource
    O'Reilly Velocity Conference 2019 - San Jose, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 61 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: O’Reilly Media’s Velocity San Jose 2019 conference had one overarching goal: offer conference attendees the opportunity to gather expert insight on building and maintaining cloud native systems. How did Velocity meet that goal? By giving the world’s best cloud native system engineers, SREs, and DevOps experts the chance to share their experiences. For example: Alex Chen (Alibaba Cloud) described how cloud native storage products such as table storage, object storage, and log storage enabled the Alibaba platform to handle RMB 10B worth of sales in two minutes and five seconds. Ory Segal's (PureSec) revealed how attackers approach and exploit the weaknesses of serverless and what you can do about it. Nivia Henry (Spotify) demonstrated how an algorithm is built and what you can do to catch, reduce, or eliminate the algorithmic biases that produce infamous events like Tay the racist Twitter Bot. This video compilation contains all of these talks plus the best keynotes, tutorials, and tech sessions delivered at Velocity San Jose 2019. Looking to build your knowledge of how to build and maintain cloud native systems? Get this compilation and you’ll be on your way. Highlights include: Complete video recordings of Velocity San Jose 2019’s best tutorials, keynote speeches, and technical sessions—contains hours of material to review and study at your own pace and schedule. Cloud engineering tutorials, such as Patrick Meenan (Facebook) on fixing broken HTTP/2 deployments; Michael Kehoe (LinkedIn) on using Terraform to modernize your cloud infrastructure; and Ben Bleything (Google) on using the open source InSpec framework to build infrastructure and compliance tests. Keynotes from luminaries such as Liz Fong-Jones (Honeycomb), Everett Harper (Truss), Julie Horvath (Apple), Alex Qin (Code Cooperative), Lena Hall (Microsoft), and Jessica Kerr (Atomist). Sessions devoted to building secure and resilient systems, including Ian Coldwater’s (Independent) deep dive into Kubernetes CVE-2018-1002105 protections and Nora Jones (Slack) on the advanced approaches required for each piece of the chaos experiments cycle. Special sessions called “Overcoming Obstacles: Lessons in Resilience,” featuring the stories of cloud engineering success in the face of overwhelming barriers from practitioners such as Ryan Kitchens (Netflix), Tim Bonci (Vistaprint), and Tammy Butow (Gremlin). Sessions covering production engineering, SRE, and DevOps, including Charity Majors (Honeyco...
    Note: Online resource; Title from title screen (viewed June 12, 2019)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    ODSC West 2018 (Open Data Science Conference) (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 49 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Royalties for this video set help fund ODSC community initiatives such as grants to open source projects, our diversity program, student travel grants, and other initiatives. The Open Data Science Conference has established itself as the leading conference in the field of applied data science. Each ODSC event offers a unique opportunity to learn directly from the core contributors, experts, academics and renowned instructors helping shape the field of data science and artificial intelligence Presentations cover not only data science modeling but also the languages and tools needed to deploy these models in the real world such as TensorFlow, MXNet, scikit-learn, Kubernetes, and many more. Our conferences are organized around focus areas to ensure our attendees are at the forefront of this fast emerging field and current with the latest data science languages, tools, and models. You’ll find in our East 2018 video catalog some of our most popular focus areas including: Deep Learning and Machine Learning Over the last 5 years, we have seen incredible advances in the field of data scientist thanks to breakthroughs in neural networks, transfer learning, reinforcement learning, and generative adversarial networks (GANs) to name a few. With the advent of Google Voice, Alexa, and other voice assistants, presentations on enabling technologies like NLP, RNNs, and LSTM are popular. Some session to note: OS for AI: How Serverless Computing Enables the Next Gen of ML—Jon Peck pomegranate: Fast and Flexible Probabilistic Modeling in Python—Jacob Schreiber Data Wrangling to Provide Solar Energy Access Across Africa—Brianna Schuyler, PhD The past, present, and future of Automated Machine Learning—Randy Olson, PhD Minimizing and Preventing Bias in AI—Frances Haugen Deep Learning on Mobile—Anirudh Koul State of the Art Natural Language Understanding at Scale—David Talby, PhD Latest Developments in GANS—Seth Weidman How to Reason About Stateful Streaming Machine Learning Serving—Lessons from Production—Patrick Boueri An Introduction to Active Learning—Jennifer Prendki, PhD How to use Satellite Imagery to be a Machine Learning Mantis Shrimp—Sean Patrick Gorman, PhD Core Data Science and Data Visualization As data science advances at a rapid pace, core skills are more important than ever. Our sessions range from beginner to advanced level for core topics. Additionally, data and models need to be actionable and data visualization remains a key skill in any data sci...
    Note: Online resource; Title from title screen (viewed July 15, 2019)
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  • 13
    Online Resource
    Online Resource
    Testing React.js Applications with Jest : A Complete Introduction to Fast, Easy Testing (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484239803
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn how to use Jest by viewing easy-to-follow screencasts accompanied by clear instructions. In this complete video introduction to Jest, the testing framework from Facebook, you’ll discover how Jest can test any JavaScript application, and that it is widely used to test React.js applications. Testing React.js Applications with Jest will lay out the entire process, allowing you to see Jest in action with your own eyes. You’ll see that comprehensive testing of JavaScript-based web applications is a significant task, and many of the solutions that have emerged over the years have been cumbersome and involved integrating many different tools. With the help of this video you’ll replace these multiple tools and create a fast, comprehensive service that supports advanced features such as snapshots. Along the way you’ll learn how to build Jest into applications using create-react-app. This video course will cover Jest performance, ease of use and configuration, mocking and advanced features - it is a comprehensive guide to the framework that will make testing React.js applications a breeze. What You Will Learn Use Jest effectively to test React.js applications using best practices Integrate testing into your current development process Make your tests easy to set up and fast Work with the advanced capabilities of Jest without additional dependencies Who This Video Is For Web developers interested in best practice and improving the quality of their code and overall systems without introducing friction into their development process.
    Note: Online resource; Title from title screen (viewed May 21, 2019)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 14
    Online Resource
    Online Resource
    Spotlight on Data : Creating Smart Products Requires Collaboration with Gretchen Anderson (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 55 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We're experiencing a boom in smart products and services, from virtual assistants like Alexa to robotic surgical tools. But as we design and develop products of increasing complexity—incorporating machine learning to drive autonomous decision making—measuring output and outcomes also explodes in complexity. In the face of all this complexity, how do you design your teams and collaborative processes to ensure a successful product? Teams have to move away from merely seeking “approvals” and toward collaborating on the goals and parameters; they must also target use cases that will make or break the experience for end users. The more dynamic the technology, the wider the range of diverse perspectives that must inform the process. Data scientists, designers, developers, lawyers, and regulators all need to weigh in, and their voices need to be heard and accounted for. Recorded on April 15, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 15
    Online Resource
    Online Resource
    Power BI Data Visualization with Purpose : Communicating through Color, Shape, and Layout (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484250815
    Language: English
    Pages: 1 online resource (1 video file, approximately 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This video explains how to create Power BI visuals that provide a good user experience. The video begins by explaining how the common mindset around data visualization is often wrong, and then it suggests a better approach. Report developers are often tempted to make visualizations all about them to show off the data gathered or their report design skills, but reports should be focused on communicating and interacting with the intended audience. This video provides you with practices and guidance toward communicating the right message to your audience without clutter and distraction. Once mindset and goals have been properly aligned, the video discusses the visual tools you have at your disposal when formatting a Power BI visual. These tools include color, shape, and layout. Misapplying these tools can make a visual distracting, ugly, or even misleading. Applying them correctly can make a visual pop and help to communicate the right message, which is the message you are working so hard to get across. Accessibility in report design is also discussed. Demos show how changing seemingly simple attributes on visuals can greatly improve accessibility. Common visualization mistakes are shown, along with examples of how to fix them. In addition to formatting individual visuals, the video discusses how to put them together on a report page to form a coherent analysis. After making an initial draft, it’s time to do a quality check on the report. This video covers what attributes to check and discusses tools to help with your quality checks. Tips are provided on helpful features in Power BI that make good design easier, such as use of report themes and templates, and setting the default visual interaction style. The video will show how to iterate on a report design to improve it based upon findings in the quality checks. The video ends by reviewing the starting point of a report that needed optimization and comparing that to the result after some improvements to see the effect on the user experience. What You Will Learn Take a goals-oriented approach to creating charts and graphs in Power BI Combine color, shape, and layout to create a desired user experience Create reports that effectively communicate the specific message you are working to convey Make Power BI reports accessible for those with visual, motor, and cognitive disabilities Evaluate charts, graphs, and other visuals using a repeatable checklist for optimal display of information Recognize a...
    Note: Online resource; Title from title screen (viewed June 15, 2019)
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    Learn Modern OpenGL Programming (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838829780
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Create your own 3D graphics with OpenGL and C++ About This Video Learn to set up an OpenGL window using GLFW and the OpenGL API Grasp the technique of programming with modern OpenGL In Detail With this interactive course, you can now take your first step toward learning modern OpenGL programming. You’ll go through a brief history of OpenGL, which will help you understand why it’s important to explore modern OpenGL with its programmable rendering pipeline over the fixed function pipeline. The course will start by taking you through the basics of getting OpenGL running in a window using the Graphics Library Framework (GLFW). Next, you’ll gain insights into rendering polygons to the display by sending buffers of data to the computer graphics card and programming it using shaders with the GLSL shading language. Later, you’ll learn how to map textures to your objects. The course will also help you set up a virtual camera using keyboard and mouse inputs to enable you to move around in the scene. After you have the fundamentals working, you can go on to building more complex elements. You’ll learn how to load 3D models and add impactful lighting to the scene. With each lesson, you’ll build the framework with reusable C++ and OpenGL code. You’ll start with a blank project and write code each step of the way, with every lesson building on the last. The easy-to-follow approach of this course makes it a suitable option even if you’ve never explored OpenGL. Using the source code, prebuilt third-party libraries, and Visual Studio solutions included in this course, you’ll be able to successfully start with building your own game engine. By the end of this course, you’ll have learned how to set up and render in 3D with modern OpenGL. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Learn-Modern-OpenGL-Programming . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 25, 2019)
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  • 17
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    Kubernetes in the Data Center (2019)
    [Erscheinungsort nicht ermittelbar] : Cisco Press | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Overview Kubernetes in the Data Center LiveLessons focuses on using the fundamental Kubernetes components and learning how they are installed. The goal is to help you understand what the components are so when troubles arise you have the tools to be able to fix them. The course is primarily made up of instruction and demonstrations delivered by a seasoned expert, Vallard Benincosa. Vallard, who has experience working with Cisco and IBM, is currently a senior engineer at a small startup called Zenabi. He helped develop a Kubernetes certification for the Linux foundation and has been using Kubernetes since 2015. Kubernetes in the Data Center LiveLessons walks you through Kubernetes on prem, hardware, and Linux configurations, installation, applications storage, and networking. It also gets in to running Kubernetes, as well as monitoring and securing it. The course covers a wide gambit of technical areas and explores many of the exciting Kubernetes opensource add-ons to make your system more complete. This includes Kubernetes, Docker, Ubuntu Linux, Minio, Ceph, and many networking concepts such as overlay networks, service meshes, load balancing, ingress controllers, and proxies. About the Instructor Vallard Benincosa a senior engineer at a small startup called Zenabi. Prior to joining Zenabi in February 2019, he was a software solutions architect with Cisco for 7 years. Prior to Cisco, he started a company that specialized in bare-metal operating system installations for Linux clusters. He also has experience with IBM designing, implementing, and managing some of the largest bare-metal high-performance computing clusters in the world. He helped develop a Kubernetes certification for the Linux foundation and has been using Kubernetes since 2015. In his day job, he works on data ingest systems for analytics, advertising, and recommendation engines, using Kubernetes in the cloud and on prem. Skill Level Intermediate/Advanced Learn How To Architect a Kubernetes cluster on bare metal in the data center. Install Kubernetes on bare-metal servers. Pick and deploy the correct overlay network for your Kubernetes cluster. You will become familiar with several options and understand the trade-offs between different solutions. Understand and deploy distributed storage solutions with Kubernetes to offer persistent volumes. You will then use these to deploy stateful services. Monitor and troubleshoot your Kubernetes cluster. Run a...
    Note: Online resource; Title from title screen (viewed September 30, 2019)
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    InnerSource Product Owners (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sponsored by PayPal Middle management support is crucial to the adoption and long term survival of any InnerSource program. But how do you pull that off? In this course, InnerSource expert Silona Bonewald reveals the strategies that will convince middle managers to approve your InnerSource program and support them for doing so. One key to her approach: learn how to measure your program's success. If middle managers can see measurable success, your InnerSource program will thrive. Learners should be familiar with Agile or Lean processes and have a basic understanding of the roles of InnerSource Trusted Committers and Contributors. For best results, please view O'Reilly Media's " Introduction to InnerSource " video before beginning this course. Learn how to build and maintain middle management support for InnerSource programs Understand the Product Owners role in InnerSource Discover the best methods for dealing with escalations and removing bottlenecks Get wise to the numbers your bosses need to see and why they need to see them Explore the best ways to market your team and product to your organization Pick up the ability to create and maintain win/win agreements Learn how to persuade other teams to open their code to your team Silona Bonewald is the Director of InnerSource Engineering at Paypal. A developer and open source advocate since the late 90s, Silonia is a frequent contributor at O'Reilly OSCON conferences, where she speaks about InnerSource and other open source related topics.
    Note: Online resource; Title from title screen (viewed May 13, 2019)
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  • 19
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    Deep Learning with R in Motion (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 52 min.)
    Edition: 1st edition
    Keywords: Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: Wow! A brand new set of techniques to study and apply. The videos are great, amazingly organized, and go step by step to introduce such a complex topic. Arnaldo Ayala, Software Architect, Consultores Informáticos The Keras package for R brings the power of deep learning to R users. Deep Learning with R in Motion locks in the essentials of deep learning and teaches you the techniques you'll need to start building and using your own neural networks for text and image processing. Instructor Rick Scavetta takes you through a hands-on ride through the powerful Keras package, a TensorFlow API. You'll start by digging into case studies for how and where to use deep learning. Then, you'll master the essential components of a deep learning neural network as you work hands-on through your first examples. You'll continue by exploring dense and recurrent neural networks, convolutional and generative networks, and how they all work together. And that's just the beginning! You'll go steadily deeper, making your network more robust and efficient. As your work through each module, you'll train your network and pick up the best practices used by experts like expert instructor Rick Scavetta, Keras library creator and author of Deep Learning in Python François Chollet , and JJ Allaire , founder of RStudio, creator of the R bindings for Keras, and coauthor of Deep Learning in R ! You'll beef up your skills as you practice with R-based applications in computer vision, natural-language processing, and generative models, ready for the real-world. Machine learning has made remarkable progress in recent years. Deep learning systems have revolutionized image recognition, natural-language processing, and other applications for identifying complex patterns in data. The Keras library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep learning tasks! Inside: The 4 steps of Deep Learning Using R with Keras and TensorFlow Working with the Universal Workflow Computer vision with R Recurrent neural networks Everyday best practices Generative deep learning You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed. Rick Scavetta is a biologist, workshop trainer, freelance data scientist, cofounder of Science Craft, and founder of Scavetta Academy, companies dedicated to helping scientists better understand and visualize their data. Rick's practical, hands-on exposur...
    Note: Online resource; Title from title screen (viewed August 28, 2019)
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    Unblocked (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Imagine it's 1994 and the dawn of the internet. In many ways, it is. A growing army of pioneers is once again laying the rails for a new digital world. Like the first digital revolution, this one will also transform the way we live, work and play. It will disrupt entrenched industries. And shatter conventional business models. With so much at stake, how do you prepare? Unblocked takes you past the hype and insider speak to show you what blockchains are and how they’re poised to change our world. Blockchains are more than flexible multi-tools that hold promise to solve our most pressing digital problems including privacy risks, hacks, data misuse, fakes and fraud. Along with a family of related technologies, they are a social movement that offers an abundance of opportunity for those who know how to leverage them. Unblocked explains: Why ignoring this technology exposes you to competitive disruption What's coming in this next era—no technical background required How to prepare your organization to respond to the coming shift
    Note: Online resource; Title from title screen (viewed July 18, 2019)
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    Turn devices into data scientists—at the edge (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Today’s approach to processing streaming data is based on legacy big-data centric architectures, the cloud, and the assumption that organizations have access to data scientists to make sense of it all—leaving organizations increasingly overwhelmed. Simon Crosby (SWIM.AI) shares a new architecture for edge intelligence that turns this thinking on its head. Edge intelligence (encompassing analytics, learning and prediction, and edge computing) can frequently be accomplished on the fly on streaming data, cheaply, at the edge, without data scientists. Simon demonstrates how you can save up to $5,000 a month in cloud processing and storage costs while delivering accurate predictions that can transform outcomes, using well-established architectural pillars, such as the distributed actor model, to process voluminous real-time data at the edge, along with the rich commons of open source analytics and learning tools like Flink and Spark, on nothing more than a $200 device such as an NVIDIA Jetson. The key insight is to use streaming data to build a digital twin model on the fly at the edge, avoiding a ton of complexity and infrastructure costs. Instead, a user defines the entities in their environment (e.g., traffic intersections, compressors, or assembly robots) that deliver data. Using the stateful distributed actor model, you can dynamically build a digital twin (actor) model of the real-world from the data, linking twins based on their relationships. Each digital twin reduces, labels, and analyzes its data and self-trains a machine learning model to predict future performance, at the edge, discarding the original data. This method needs only a tiny fraction of the resources of a big data solution and delivers results in real time. As a result, it bypasses the dev, ops, and data science challenges of edge intelligence, effectively turning devices into data scientists—or at least, building data science twins for entities in the real world. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    The Elements of Kubernetes : Foundational concepts for apps running on Kubernetes (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The Elements of Style is a foundational guide to writing well. It effectively summarizes how to harness the power of the English language to write high-quality prose of almost any kind. In computing, we have similar guides for various technologies: Python offers The Zen Of Python , Ruby has The Rails Doctrine , and so on. These documents are a North Star that guides their community toward the same goals. We need a similar guide for Kubernetes. It should set best practices for how app developers and operators should think about and use the features in Kubernetes to build and deploy reliable, stable apps. We don’t have one today, but the Kubernetes community has the experience to build one. Drawing on his own and the community’s experiences, Aaron Schlesinger (Microsoft) details an “Elements of Kubernetes” guide, to be used by app developers and operators alike. You’ll leave with a list of best practices you can apply to your app now. Topics include: Setting up your new dev-test workflow Building a good CI/CD pipeline Debugging your app in production Breaking up your monolithic app into microservices (and when not to do it) Building crash-only software This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Strata Data Conference 2019 - San Francisco, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 122 hr., 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Thousands of the data scientists, analysts, engineers, developers, and executives converged at the Strata Data Conference San Francisco in March 2019 to absorb the insights and wisdom of the data world's best minds. The conference featured more than 300 speakers, 10 keynotes, 10 tutorials, and 150+ technical sessions. This video compilation captures the best from the conference, offering more than 100 hours of material to review at your own pace. Highlights include: The Strata Business Summit - speakers, executive briefings, and tech sessions laser focused on a central theme: How do the world’s leading companies build their successful data strategies? Learn about recommendation engines, AI-based personalization solutions, data governance, ML based customer insight harvesting, and more from data wizards like Zachery Anderson (Electronic Arts), Eric Bradlow (The Wharton School), David Talby (Pacific AI), Paco Nathan (derwen.ai), Jonathan Francis (Starbucks), and JoLynn Lavin (General Mills). The Strata Data Ethics Summit – Is your AI really making good decisions or have you built a deceptive black box that reinforces ugly stereotypes? Alistair Croll (Strata Chair), Tim O'Reilly (O'Reilly Media), and Susan Etlinger's (Altimeter Group) eight hour deep dive into the thorny issues of data and algorithms with help from Jana Eggers (Nara Logics), Rumman Chowdhury (Accenture), Kathy Baxter (Salesforce), Carole Piovesan (McCarthy Tétrault), and more. Hours of tutorials from the world's top data engineers, such as Francesca Lazzeri (Microsoft) and Holden Karau (Google) on training and deploying models with Kubeflow across different cloud vendors; Dean Wampler (Lightbend) on performing machine learning using Kafka-based streaming pipelines; and Jason Dai (Intel) on the Analytics Zoo, an analytics/AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. Sessions devoted to Data Science, Machine Learning & AI, including Sharad Goel (Stanford University) on the challenges of "fair machine learning", which aims to ensure that decisions guided by algorithms are equitable; Kelley Rivoire (Stripe) on scaling machine learning using the Railyard API; Vinod Vaikuntanathan (MIT) on performing machine learning on encrypted data; and Jeremy Howard (platform.ai) on recent advances in deep learning that allow non-engineers to train neural networks from scratch without needing code or pre-existing labels. Sessions focus...
    Note: Online resource; Title from title screen (viewed March 27, 2019)
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    SQL Server Always Encrypted : Protecting Your Data with Column Encryption (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484255650
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Master SQL Server’s Always Encrypted feature to provide column-level encryption of sensitive data such that only authorized application users can see that data. This video explains how the Always Encrypted feature works and shows how to implement column encryption using best practices. System and database administrators who might otherwise have access to view any data in the database are not able to view data protected through Always Encrypted’s feature set. This video begins with an introduction to column encryption as implemented through the Always Encrypted feature, and the use cases for applying that encryption. Then follows an explanation of how exactly the technology works and is implemented in SQL Server. The video then walks you through implementing Always Encrypted column encryption on a new database and again on an existing database. Finally, the video covers how to configure an application to access the encrypted data in a manner that is transparent and convenient for end users of your database applications. What You Will Learn Recognize use cases for the Always Encrypted feature Understand how the feature works technically Generate an encrypted column for a new table Insert data into an encrypted database column Encrypt existing data within a table Identify the relevant encryption certificates Modify an application to access encrypted data Who This Book Is For Database administrators, application developers, and system architects who need to encrypt and protect data in a SQL Server instance. Especially helpful when it must be ensured that database administrators and system administrators do not in any way have access to encrypted data.
    Note: Online resource; Title from title screen (viewed October 25, 2019)
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    Spotlight on Innovation : The Future Beyond Digital—Entering a New Era of Exploration and Collaboration with Greg Satell (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Innovation isn’t just about solving existing problems faster and more efficiently; it’s about discovering and solving new ones. To remain competitive, today’s business leaders need to embrace not only new technologies but an entirely new mindset when it comes to innovation. Recorded on November 28, 2018. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed August 1, 2019)
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    Spotlight on Data : Data Storytelling with Mico Yuk (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The power of storytelling has long been used in Hollywood to engage viewers and generate billions of dollars in sales. However, data storytelling, while highly trendy, is frequently misused and often limited to pretty charts. In this Spotlight on Data , learn how to use the power of storytelling with your data to skyrocket user engagement. Get your users to take action by implementing a few proven techniques. Recorded on July 15, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed July 30, 2019)
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    Spotlight on Cloud : Reducing the Impact of Service Outages with Generic Mitigations with Jennifer Mace (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: While a mitigation is any action you might take to reduce the impact of a breakage—such as SSHing into an instance and clearing the cache or switching off machines to close down a vulnerability—generic mitigations are actions that first responders can take even before the root cause is fully understood. As such, they’re useful for addressing a wide variety of outages. Every service should employ at least one or two generic mitigations to minimize outage impacts. In this Spotlight on Cloud , Jennifer Mace, site reliability engineer at Google, shows you how to distinguish between specific and generic mitigations and how to identify what generic mitigations your service might need. Recorded on September 25, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed October 21, 2019)
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    SAS in Practice (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838824921
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn and master the skills required for SAS proficiency and SAS Base certification, including SQL procedures and macros About This Video Coverage of the technical and analytical concepts of SAS, from beginner to expert level Learn the fundamental principles and benefits of SAS to perform tasks ranging from data exploration to data manipulation and report generation Understand advanced concepts such as macro programming and running SQL queries in SAS In Detail Are you looking to become a data analyst or data scientist? If so, there are various tools and techniques to implement data analytics, but SAS offers many benefits as your first programming language to master: it’s easy to learn and has a user-friendly GUI. To date, it holds the highest market share of all the analytics tools available. If you have little or no programming background and want to get started with SAS, then this is the right course for you! This course will help you become a confident and proficient data analyst and SAS programmer by giving you the hands-on knowledge and in-depth understanding of the SAS programming suite and how to utilize it effectively. Additionally, it will help you master different techniques in SAS to manipulate your data. You’ll learn how to work with SQL queries and generate effective data reports. Moreover, this course will provide all the content you’re looking for to prepare for the SAS Base certification exam. By the end of this course, you’ll have a thorough understanding of the fundamental SAS concepts, along with rich hands-on experience of the SAS suite. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/SAS-in-Practice . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 30, 2019)
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    O'Reilly Velocity Conference 2019 - Berlin, Germany (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. O'Reilly Velocity Conferences are devoted to providing its international audience of SREs, app developers, DevOps practitioners, systems architects, CTOs, and CIOs with the most on-point training and information possible on how to build and maintain large-scale cloud native systems. Velocity Berlin 2019 stayed true to this formula. It gathered some of the world's top cloud practitioners to share their expertise and insights on key concepts like Kubernetes, site reliability engineering, observability, and performance. Stay ahead of your competition, get this video compilation, and enjoy a front-row seat to all of the best that Velocity Berlin 2019 had to offer. Highlights include: Unrestricted access to hours of the best presentations from Velocity Berlin 2019—this video compilation includes keynote sessions, deep-dive tutorials, and technical sessions. Kubernetes sessions, including Jonathan Johnson's (Dijure LLC) intro to Kubernetes tutorial; Jose Nino’s (Lyft) look at deploying hybrid topologies with Kubernetes and Envoy; and Bastian Hofmann’s (SysEleven) talk on using Kubernetes to deploy an application across multiple clusters in different regions. Monitoring, Observability, and Performance sessions, such as Liz Fong-Jones (Honeycomb) on how microservice-based systems do distributed tracing using OpenTelemetry; Lorenzo Fontana (Sysdig) on eBPF-powered distributed Kubernetes performance analysis; and Nathanael Jean-Francois (NS1) on using BGP edge optimizations to measure internet performance and make routing decisions. Overcoming Obstacles/Lessons in Resilience sessions, including Alois Reitbauer’s (Dynatrace Software) cautions on how to ensure that delivery pipeline automation code won’t devolve into legacy code and Josh Michielsen’s (Condé Nast International) insider’s take on the lessons learned from operating a Kubernetes driven global cloud native platform. Building Secure Systems sessions like Jennifer Davis’ (Microsoft) survey of the cloud security tools and practices everyone should. Building Resilient Systems sessions, such as Jenn Strater’s (Gradle) guide to using data to better debug build errors, speed up individual runs, and make a happy release process, or Heidi Waterhouse’s (LaunchDarkly) reveal of the often overlooked factors that dramatically affect...
    Note: Online resource; Title from title screen (viewed November 6, 2019)
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    O'Reilly Software Architecture Conference 2019 - San Jose, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 63 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The O'Reilly Software Architecture Conference San Jose 2019 (SACON) gathered the world's leading software architects and engineers to give presentations on software architecture's most useful technologies, trends, and techniques. This video compilation gives you complete access to the best of SACON's keynotes, tutorials, and technical sessions. It contains hours of material to review and study at your own pace. Whether you are optimizing legacy systems or migrating to cloud native architecture, this compilation from SACON San Jose 2019 offers you the insights and training you need to get to the next level. Highlights include: Contains hours of video recordings from the best of SACON San Jose 2019's keynotes, tutorials, and technical sessions. 3.5 hour tutorials like Christian Hernandez's (Red Hat) hands-on introduction to Kubernetes and OpenShift; Nathaniel Schutta's (Pivotal) deep dive into trade-off analysis and how to use it to strategically choose the correct technology for your projects; and Valentina Rodriguez's (Independent) reveal of the twelve essential principles of architecture design in Agile environments. Keynotes from Rebecca Wirfs-Brock (Wirfs-Brock Associates), Michael Feathers (R7K Research and Conveyance), Adam Tornhill (Empear), Rebecca Parsons (ThoughtWorks), and Neal Ford (ThoughtWorks). Application Architecture sessions, such as Stefania Stefansdottir's (ThoughtWorks) walk through of the practices all new architects and tech leads should keep in mind when starting a new project; Ian Varley (Salesforce) on spotting and correcting the cognitive biases that undermine your software architecture; and Andrew Bonham and Thiagarajan Subramanian's (Capital One) review of how to use reactive architecture and microservices, machine learning, H20, Akka, and Kafka. Microservices sessions, including Kasun Indrasiri's (WSO2) in-depth overview of common microservice resiliency patterns such as timeout, retry, circuit breaker, fail-fast, bulkhead, transactions, and more; Nathaniel Schutta (Pivotal) on the factors used to decide if something deserves to be a microservice or not; and Samir Behara (EBSCO) on building scalable microservice architectures with Envoy, Kubernetes, and Isti. Enterprise Architecture sessions, including Heidi Waterhouse (Launch Darkly) on the smartest ways to achieve build-versus-buy decisions; Cat Swetel (Ticketmaster) on using value network mapping and real options theory to evolve monolithic software; and Paula ...
    Note: Online resource; Title from title screen (viewed June 13, 2019)
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    O'Reilly Artificial Intelligence Conference 2019 - London, United Kingdom (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. The Artificial Intelligence Conference London 2019 gathered some of the globe's top AI practitioners to speak about AI's most promising developments, emerging technologies, and profitable use cases. This video compilation provides you with the best that AI London 2019 had to offer. It includes thought provoking presentations from such AI luminaries as Ariadna Font Llitjós, the director of engineering at Twitter’s Cortex Machine Learning Platform; Martin Goodson, the chief scientist at Evolution AI; Jeff Jonas, the founder and CEO of Senzing; Kim Hazelwood, the senior engineering manager who leads AI infrastructure research efforts at Facebook, and many more of AI’s top data scientists, software engineers, and business strategists. AI is changing fast and it’s transforming business even faster. To see where AI is going (and the entirely new business models and procedures it enables), get this compilation and you’ll be ahead of the curve. Highlights include: Complete video recordings of AI London 2019’s best keynotes, tutorials, and technical sessions—this compilation contains hours of material to study, review, and absorb at your own pace. Keynote presentations from AI’s most notable thinkers, including Intels’ Alexis Crowell Helzer, IBM’s Ritika Gunnar, Dell Technologies’ Arash Ghazanfari, and more. Hours of fact-packed AI, ML, and DL tutorials from top AI practitioners like Robert Crowe (Google) on ML pipelines, TensorFlow Extended pipelines, and ML production deployment issues; Danielle Dean (iRobot) on training and deploying Python models in Azure; and Sergey Ermolin (AWS) on how to use reinforcement learning to build recommendation systems with AWS SageMaker RL. Members-only access to every AI Business Summit Executive Briefing/Best Practices session: Twenty hard-nosed presentations that provide an insider’s look at the AI implementations that will impact your business the most. Implementing AI sessions, including Carlos Rodrigues's (Siemens) look at how Siemens fights cybercrime with AI; Alex Ingerman's (Google) introduction to Federated ML, a new decentralized form of ML; Siddha Ganju's (NVIDIA) discussion of how to set-up deep learning on mobile devices; and Thomas Phelan (HPE BlueData) on how to spin up GPU-enabled AI, ML, and DL clusters in Docker containers...
    Note: Online resource; Title from title screen (viewed October 16, 2019)
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    On microservices, bounded contexts, and everything in between (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: “Ninety-five percent of the words are spent extolling the benefits of ‘modularity’ and that little, if anything, is said about how to achieve it”—Glenford J. Myers, 1978. The above quote is 40 years old. Today, four decades later, nothing has changed except terminology. Time to fix this. Vladik Khononov (Invesus Group) explains how to decompose a system into loosely coupled components: how to draw boundaries between services, how to decide whether some logic belongs to one service or another, and how domain-driven design can help us make those decisions. Finally, he takes a stab at answering the age-old question of what part of a microservice should be “micro” and how it can be measured. You’ll hear about neither Docker nor Kubernetes. Actually, nothing related to infrastructure. Instead, you’ll dive into the difference between microservices and bounded contexts, discover when each pattern should be used, and get takeaways from Vladik’s experience optimizing microservices-quotebased architectures at Naxex. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Observability for developers : How to get from here to there (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: There’s been a lot of talk about software ownership—but what does “owning code in production” really mean for developers day to day? Many development teams still reach for logs in production as the most familiar way to bridge the development environment with production. Christine Yen (Honeycomb) makes the case that observability—and the skills to craft the right graphs and read them—benefits developers more than it does operators by examining several instances where well-informed devs can supercharge their development process, such as data-driven product decisions (or how to know more about what needs to be done than your PM), rewrites and migrations, feature flags and testing in production, and fine-grained performance analysis. Then, she lays out a series of steps to get your team from grepping unstructured text logs to outputting and analyzing well-structured traces. Instrumentation and observability aren’t all-or-nothing endeavors, and you’ll leave with an idea of the next step you can take to improve your ability to understand your production systems. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    ML at Twitter : A deep dive into Twitter's timeline (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning has allowed Twitter to drive engagement, promote healthier conversations, and deliver catered advertisements. Cibele Montez Halasz and Satanjeev Banerjee describe one of those use cases: timeline ranking. They share some of the optimizations that the team has made—from modeling to infrastructure—in order to have models that are both expressive and efficient. You’ll explore the feature pipeline, modeling decisions, platform improvements, hyperparameter tuning, and architecture (alongside discretization and isotonic calibration) as well as some of the challenges Twitter faced by working with heavily text-based (sparse) data and some of the improvements the team made in its TensorFlow-based platform to deal with these use cases. Join in to gain a holistic view of one of Twitter’s most prominent machine learning use cases. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Manipulating and measuring model interpretability (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning is increasingly used to make decisions that affect people’s lives in critical domains like criminal justice, fair lending, and medicine. While most of the research in machine learning focuses on improving the performance of models on held-out datasets, this is seldom enough to convince end users that these models are trustworthy and reliable in the wild. To address this problem, a new line of research has emerged that focuses on developing interpretable machine learning methods and helping end users make informed decisions. Despite the growing body of work in developing interpretable models, there is still no consensus on the definition and quantification of interpretability. Forough Poursabzi-Sangdeh (Microsoft Research NYC) argues that to understand interpretability, we need to bring humans in the loop and run human-subject experiments. Forough approaches the problem of interpretability from an interdisciplinary perspective built on decades of research in psychology, cognitive science, and social science to understand human behavior and trust. She describes a set of controlled user experiments in which researchers manipulated various design factors in models that are commonly thought to make them more or less interpretable and measured their influence on users’ behavior. The findings emphasize the importance of studying how models are presented to people and empirically verifying that interpretable models achieve their intended effects on end users. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Linux Foundation Certified System Administrator (LFCS) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 hr., 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 21+ Hours of Video Instruction Linux Foundation Certified System Administrator (LFCS) Complete Video Course , 2nd Edition has 21 hours of comprehensive video training for you to have everything you need to study for—and pass—the LFCS exam. Linux Foundation Certified System Administrator (LFCS) Complete Video Course , 2nd Edition has 21 hours of comprehensive video training on the LFCS exam. You get more than 10 hours of Linux basics in Linux Fundamentals LiveLessons along with a full review of all Linux Foundation LFCS topics. Coverage includes advanced system administration, security, storage management, SSH services, and virtualization. This thorough and engaging training provides whiteboard concept teaching, live CLI work, screencast teaching, hands-on labs, command reviews, and a practice exam so you have everything you need to study for—and pass—the LFCS exam. To offer this course in the way that is most efficient for you, the contents have been developed to build upon your existing knowledge of Linux. You will start with Linux Fundamentals LiveLessons , a full video course on Linux basics, concepts, practices, and theories so you can get the foundational knowledge you need. You will then dive into the core part of the LFCS exam—including Advanced System Administration—and managing storage, security, SSH services, and virtualization. Each lesson ends with a lab for you to practice the skills learned in each lesson. These labs also act as training for the hands-on LFCS exam. After Sander presents you with the lab task, you have the opportunity to walk through it yourself. And the end of each lesson is the Lab Solution, where Sander walks through the correct way to complete the lab were you taking the real exam. A full practice exam is also provided so you can fully prepare for the exam. The practice exam sets up scenarios that you will solve and also provides video solutions so you can check your work against the author’s. This is an invaluable part of the study experience. This accessible self-paced video training solution provides learners with more than 21 hours of personal visual instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos you will gain an in-depth understanding of all topics on the Linux Foundation LFCS exam, as well as a deeper understanding of Linux. The combination of video and labs is a unique offering that gives you a full...
    Note: Online resource; Title from title screen (viewed March 6, 2019)
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    How to build privacy and security into deep learning models (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In recent years, we’ve seen tremendous improvements in artificial intelligence, due to the advances of neural-based models. However, the more popular these algorithms and techniques get, the more serious the consequences of data and user privacy. These issues will drastically impact the future of AI research—specifically how neural-based models are developed, deployed, and evaluated. Yishay Carmiel (IntelligentWire) shares techniques and explains how data privacy will impact machine learning development and how future training and inference will be affected. Yishay first dives into why training on private data should be addressed, federated learning, and differential privacy. He then discusses why inference on private data should be addressed, homomorphic encryption and neural networks, a polynomial approximation of neural networks, protecting data in neural networks, data reconstruction from neural networks, and methods and techniques to secure data reconstruction from neural networks. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 38
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    From flat files to deconstructed databases : The evolution and future of the big data ecosystem (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Over the past 10 years, big data infrastructure has evolved from flat files in a distributed filesystem to an efficient ecosystem to a fully deconstructed and open source database with reusable components. With Hadoop, we started from a system that was good at looking for a needle in a haystack using snowplows. We had a lot of horsepower and scalability but lacked the subtlety and efficiency of relational databases. But since Hadoop provided the ultimate flexibility compared to the more constrained and rigid RDBMSs, we didn’t mind and plowed through. However, machine learning, recommendations, matching, abuse detection, and data-driven products in general require a more flexible infrastructure. Over time, we started applying everything that had been known to the database world for decades to this new environment. We’d been told loud enough how Hadoop was a huge step backward. And it was true to some degree. The key difference was the flexibility of the Hadoop stack. There are many highly integrated components in a relational database and decoupling them took some time. Today, we see the emergence of key components, such as optimizers, columnar storage, in-memory representation, table abstraction, and batch and streaming execution, as standards that provide the glue between the options available to process, analyze, and learn from our data. We’ve been deconstructing the tightly integrated relational database into flexible reusable open source components. Storage, compute, multitenancy, and batch or streaming execution are all decoupled and can be modified independently to fit every use case. Julien Le Dem (WeWork) discusses the key open source components of the big data ecosystem—including Apache Calcite, Parquet, Arrow, Avro, and Kafka as well as batch and streaming systems—and explains how they relate to each other and how they make the ecosystem more of a database and less of a filesystem. (Parquet is the columnar data layout to optimize data at rest for querying. Arrow is the in-memory representation for maximum throughput execution and overhead-free data exchange. Calcite is the optimizer to make the most of our infrastructure capabilities.) Julien also explores the emerging components that are still missing or haven’t become standard yet to fully materialize the transformation to an extremely flexible database that lets you innovate with your data. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Everything is a little bit broken; or, The illusion of control (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We never change the amount of work or technical debt; we just shift it, and with it, we change how it emerges and appears. Our systems don’t have to be perfect to be operational—planes, networks, and elite athletes all function at extremely high levels even though they are not operating at 100%. As an industry, we have moved the locus of control from hardware to operating system to virtual machine to container to orchestration, and now we’re approaching serverless. None of that has reduced the amount of work you have to do; it just makes it so you can reuse and conceptually compress the work of others. Since we’re making the work in our tools less visible, we also have less control over how they work. We assume the promises that have been true will continue to be true, but that isn’t in our control. Heidi Waterhouse (LaunchDarkly) explains how to handle this level of uncertainty. You’ll learn to add in error budgets, layered access, and other accommodations for failure and to design your systems for function over form or purity. You’ll leave with some concrete ideas about how to add resiliency to your system by learning to trust but mitigate your reliance on perfect performance of your underlying tools. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Distributed event-driven services : From the trenches (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In his best-selling book Patterns of Enterprise Application Architecture , Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. A few years ago, Barclays embarked on a journey to migrate its legacy services with the objective of achieving a high level of scale, resilience, and reliability, mainly employing an ecosystem of focused, distributed services. It’s fair to say that the company has discovered through firsthand experience that there’s quite a bit of truth to that statement. Prem Chandrasekaran provides an insider scoop on Barclays’s journey deploying services to a private cloud-based infrastructure making use of foundational patterns such as domain-driven design, event-driven architecture (EDA), command query responsibility segregation (CQRS), and event sourcing, among others. Prem recounts some of the challenges faced during the transformation and sheds light on the things that worked well and those that didn’t. Topics include: How to establish buy-in with senior stakeholders and management How to recruit, onboard, and train new team members How to establish the boundaries of your teams and services How to focus on the right amount and kinds of tests in your pipelines How to ensure database and API compatibility How to centralize and externalize secrets and configuration How to diagnose and pinpoint issues in unattended, asynchronous processes How to decide between blue-green and rolling deployments How to work with private and public cloud implementations This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Disrupting data discovery (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Before any analysis can begin, a data scientist needs to discover the right data sources to analyze, understand them, and determine whether they can trust them. Unfortunately, data discovery is very inefficient today. Countless hours are lost trying to find the right data to use. (The most common way still remains to ask a coworker.) Gaining trust in data requires running a bunch of queries (max timestamp, counts per day, count distincts, etc.) that waste time and add unnecessary load on the databases. There’s no clear way to know how to find folks to answer questions about the table. And worst of all, many times analysis is redone and models are rebuilt because previous work isn’t discoverable. Lyft has reduced the time it takes to discover data by 10x by building its own data portal, Amundsen. Amundsen is built on three key pillars: an augmented data graph, an intuitive user experience, and centralized metadata. Amundsen uses a graph database under the hood to store relationships between various data assets (tables, dashboards, protobuf events, etc.). What’s unique to Amundsen is that it treats people as a first-class data asset; in other words, there’s a graph node for each person in the organization that connects to other nodes (like tables, and dashboards). In addition, Amundsen runs PageRank using data from access logs to power search ranking, similar to how Google ranks web pages on the internet. Finally, Amundsen gathers metadata from various different sources (Hive, Presto, Airflow, etc.) and exposes it in one central place. The right place to store all this metadata is a work in progress. Mark Grover and Tao Feng (Lyft) offer a demo of Amundsen and lead a deep dive into its architecture, covering how it leverages centralized metadata, page rank, and a comprehensive data graph to achieve its goal. They also explore the future roadmap, unsolved problems, and its collaboration model. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Deploying and Migrating to Azure Web Apps : Optimizing Web Server Workloads (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
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    ISBN: 9781484255926
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn everything you need to know to get started with Azure web apps, including deployment, key features, and benefits, to monitoring. This video introduces you to Azure App Service, and more specifically, Azure web apps. Starting from a base deployment of an Azure-running web site, you will learn about several cloud-native features of the service. These are key in allowing you to run highly available and production-ready web applications on Azure, without the underlying web server virtual machines. You will also learn about integration with Visual Studio and Visual Studio Code, to ease the overall deployment and management of such web apps from a development and sysadmin perspective. What You Will Learn Understand Azure web app core features and functionalities Deploy scalable and high-available web apps across regions Leverage Azure web app scaling features Publish web applications from Visual Studio and Visual Studio Code Run highly available web apps across multiple Azure regions Use Azure Monitor for monitoring and troubleshooting Azure web apps Who This Video Is For Developers who want a brief introduction to the value and uses of Azure web apps.
    Note: Online resource; Title from title screen (viewed November 4, 2019)
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    Deep learning for time series data (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Arun Kejariwal (Independent) and Ira Cohen (Anodot) share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. The first step uses anomaly detection algorithms to discover anomalies in a time series in the training data. In the second, multiple prediction models, including time series models and deep networks, are trained, enriching the training data with the information about the anomalies discovered in the first step. Anomaly detection for individual time series is a necessary but insufficient step due to the fact that anomaly detection over a set of live data streams may result in anomaly fatigue, thereby limiting effective decision making. One way to address the above is to carry out anomaly detection in a multidimensional space. However, this is typically very expensive computationally and hence not suitable for live data streams. Another approach is to carry out anomaly detection on individual data streams and then leverage correlation analysis to minimize false positives, which in turn helps in surfacing actionable insights faster. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. They also showcase how deep learning can be leveraged to learn nonlinear correlation, which in turn can be used to further contain the false positive rate of an anomaly detection system. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    CCNA 200-301 (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Note: Online resource; Title from title screen (viewed October 15, 2019)
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    Azure Networking Fundamentals : A Baseline for Understanding Networking in the Cloud (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484255667
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This video provides you with a baseline understanding of Azure Networking. It begins with an introduction to the high-level architecture of Azure Virtual Networks so that you can become familiar with the core capabilities, concepts, and settings of this technology. From there you will gain a basic understanding of firewall security, and discover how to leverage it using Network Security Groups and Application Security Groups. Then it is on to an overview of Azure load balancing services, including Azure Load Balancer, Azure Traffic Manager, and Front Door. Finally, you will learn about VPN Gateways and how they facilitate Azure VNet-to-VNet communication, as well as hybrid connectivity between on-premises and Azure networks. Networking is the cornerstone of any data center. While it is not entirely different in a cloud environment like Azure, you will discover that building a cloud networking stack also has its own eccentricities. For example, you will no longer be managing the physical layer, and not all services are available the same way as on-premises. All these quirks are covered in this video. After viewing Azure Networking Fundamentals you will be ready to get started in building and deploying your own enterprise-ready networking designs in Azure and/hybrid networking scenarios. What You Will Learn Gain a high-level view of Azure networking services and features and how to deploy them See new features including Azure Firewall and Azure Front-Door Protect and secure cloud applications in IAAS and PAAS. Follow along with to-the-point demos; learn by doing Apply the exact steps as guidelines in your own Azure environment Who This Video Is For IT professionals, system architects, cloud administrators, solution architects, and anyone who wants to learn about deploying infrastructure as a service in Azure public cloud. Having a base understanding of IPv4 and IPv6, networking concepts, firewalling, routing, load balancing, DNS, and IP addressing is beneficial.
    Note: Online resource; Title from title screen (viewed November 6, 2019)
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    Brains considered harmful : How cognitive biases undermine your software architecture (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Most software engineers come up through the ranks as coders and believe that the valuable lessons they’ve learned from their years in the trenches are an infallible guide to the future. While experience is certainly useful, the emerging field of cognitive psychology has another story to tell: the real reasons for our decisions aren’t entirely the subject of our conscious choice—or even awareness. Ian Varley (Salesforce) covers the emerging field of cognitive biases—bugs in our mental operating system—and takes a cold, hard look at how these mental blind spots defeat our attempts to build quality software in every domain. (If you’ve read books like Thinking Fast and Slow and You Are Not So Smart , you’ll be familiar with the basic idea.) While awareness of cognitive biases is a good life skill in general, it’s particularly critical if you’re in a software architect role, because your opinions set the conditions for massive amounts of work by other engineers. As such, it’s worth the time to thoroughly debug your own process for learning and making important decisions. Ian explains why the sunk cost fallacy means you’re not throwing things out fast enough; how confirmation bias can sneak into even the most data-driven decisions; how hindsight bias is obscuring the real lessons you might have learned from that failed project; how priming and fixation is shooting down your most promising inputs; and how arguing over architectural decisions is unlikely to help anybody. (See also: “Nobody ever changed their mind between Vim and Emacs.”) Most importantly, Ian shares concrete techniques you can use to check your own decision making for these unwelcome guests. We might not be capable of being perfectly rational beings, but we can be a lot less dumb. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Applied machine learning in finance - 2019 Artificial Intelligence Conference, New York (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Quantitative finance is a rich field in finance where advanced mathematical and statistical techniques are employed by both sell-side and buy-side institutions. Techniques like time series analysis, stochastic calculus, multivariate statistics, and numerical optimization are often used by "quants” for modeling asset prices, portfolio construction and optimization, and building automated trading strategies. Chakri Cherukuri (Bloomberg LP) demonstrates how to apply machine learning techniques in quantitative finance, covering use cases involving both structured and alternative datasets. The focus of the talk will be on promoting reproducible research (through Jupyter notebooks and interactive plots) and interpretable models. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Applied machine learning in finance - 2019 O'Reilly Strata Data Conference, San Francisco (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Quantitative finance is a rich field in finance where advanced mathematical and statistical techniques are employed by both sell-side and buy-side institutions. Techniques like time series analysis, stochastic calculus, multivariate statistics, and numerical optimization are often used by “quants” for modeling asset prices, portfolio construction and optimization, and building automated trading strategies. Chakri Cherukuri (Bloomberg LP) explains how machine learning and deep learning techniques are being used in quantitative finance. Chakri outlines use cases for machine learning in finance and dives into a few examples, involving both structured and unstructured datasets, to examine in detail how machine learning models can be used for predictive analytics. Chakri details how these models work under the hood and explores the interpretability of these models. Along the way, you’ll look at novel interactive visualizations and diagnostic plots that will help you better understand these models.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Unity Game Development in 4 hours (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838551520
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get up and running with the world’s leading game engine. About This Video Learn one of the most popular tools in the industry and develop a 3D game in only 7 days, without any prior knowledge of game development. Learn game-development best practices with relevant and practical examples. Create an interesting 3D game using Unity 2019 for free, with only a few lines of code. In Detail Curious about game development but afraid to get into it because it seems too hard? Fear no more! With this course, you will learn how to develop games with one of the most popular engines in the industry. You will learn only relevant and practical information, and appreciate how it applies to the real world. By the end of this course, you will have a full-scale 3D game, similar to indie favorites such as Dear Esther, Amnesia, and Gone Home. In only 4 hours, you will become an indie developer! Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Unity-Game-Development-in-4-hours . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 22, 2019)
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    Spotlight on Cloud : The Future of Internet Security with Bruce Schneier (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Long gone are the days when computer security was about data. Now, it’s about the much more critical and personal issues of life and property. The impact of this change means two things: Data authentication and integrity concerns will trump those of confidentiality The idea of an internet without regulations will be a thing of the past While these consequences are inevitable, we can prepare for them. First, by looking at previous attempts to secure these systems. Then, by considering the appropriate technologies, laws, regulations, economic incentives, and social norms we should focus on going forward. Recorded on April 4, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
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    Spotlight on Innovation : Predicting the Next Big Breakthrough with Nima Montazeri (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: With new technologies increasing the pace of innovation every day, companies demand a constant supply of fresh ideas. To be successful, an innovation process must deliver two things: a superior solution and a great market response. Once you have the former, how do you ensure the latter? It all starts by examining the key dimensions of a technology’s evolution and understanding how it’s delighting customers. Learn how to make better decisions about where to focus your innovation efforts and money. You’ll also find out—through two case studies—how backing the right industry innovations can pay off for your organization in a major way. Recorded on April 10, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed August 29, 2019)
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    Spotlight on Cloud : Becoming Cloud Native with Jon Collins (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Startups seem to come out of nowhere, disrupting their markets and leaving traditional organizations to ask themselves how they too can adopt cloud-centric models and approaches. But just how realistic is this? Today’s enterprises are sometimes criticized for legacy thinking, but they also have to bear the burden of infrastructure, supply chains, security, governance frameworks, and customer drivers that can’t be changed at the flick of the switch. Here's the good news: enterprise concerns and cloud native principles may be better aligned than you think. Flexible infrastructure is becoming a staple of modern data centers. Microservices models align with software architecture best practices, while Agile innovation approaches such as DevOps are maturing in governance. At the same time, cybersecurity and risk management is an area of traditional strength, and operational principles used in the enterprise are as important as ever. Find out how businesses can adopt cloud native principles without throwing away what it means to be an enterprise. Recorded on May 2, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
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    Python Fundamentals (2019)
    [Erscheinungsort nicht ermittelbar] : Prentice Hall | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 hr., 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 31+ hours of video instruction . Overview The professional programmer’s Deitel® video guide to Python development with the powerful IPython and Jupyter Notebooks platforms. Description Python Fundamentals LiveLessons with Paul Deitel is a code-oriented presentation of Python—one of the world’s most popular and fastest growing languages. In the context of scores of real-world code examples ranging from individual snippets to complete scripts, Paul will demonstrate coding with the interactive IPython interpreter and Jupyter Notebooks. You’ll quickly become familiar with the Python language, its popular programming idioms, key Python Standard Library modules and several popular open-source libraries. In the Intro to Data Science videos, Paul lays the groundwork for later lessons in which he’ll introduce some of today’s most compelling, leading-edge computing technologies, including natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, sentiment analysis through deep learning with recurrent neural networks, big data with Hadoop®, Spark™ streaming, NoSQL databases and the Internet of Things. Download the code examples for this LiveLesson from https://github.com/pdeitel/PythonFundamentalsLiveLessons . This repository will be updated with the additional lessons’ examples as the lessons are completed. About the Instructor Paul J. Deitel , CEO and Chief Technical Officer of Deitel & Associates, Inc., is a graduate of MIT, where he studied Information Technology. He holds the Sun (now Oracle) Certified Java Programmer and Certified Java Developer certifications, and is an Oracle Java Champion. Through Deitel & Associates, Inc., he has delivered Java, C#, Visual Basic, C++, C and Internet programming courses to industry clients, including Cisco, IBM, Sun Micro systems, Dell, Siemens, Lucent Technologies, Fidelity, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, White Sands Missile ...
    Note: Online resource; Title from title screen (viewed August 26, 2019)
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    Managing SQL Server Encryption Certificates : Getting Started with SQL Server Encryption (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484251515
    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn best practices in certificate management for SQL Server. Certificates are small snippets of text that are foundational to encrypting and decrypting data. Watch this video to learn how to safely store certificates and prevent them from falling into the wrong hands and compromising the very data you are using them to protect. Also learn how to ensure that you still have access to needed certificates following a catastrophe or other data loss event, because data loss from lost certificates is a very real risk that must be managed and mitigated. This video begins with a short introduction to certificates and some of the different types of encryption they enable you as a SQL Server DBA to implement – such as transparent data encryption (TDE), backup encryption, and column encryption. Then you’ll learn practices for generating and managing certificates specifically for each of the different certificate types. Next, you’ll learn best practices for backing up and securing your encryption certificates so that you have them when you need them, because losing them can mean losing your data altogether. You’ll learn about certificate expiration, and the proper methods by which to backup, store, restore, and protect your certificates so that any encrypted data is never lost. What You Will Learn Ensure access to certificates following a catastrophe or other data loss event Learn about the types of encryption SQL Server offers Understand how certificates enable encryption Generate correct certificates for your chosen encryption methods Find where each certificate type is stored, how to back it up, and how to restore it Identify best practices with regards to generating and managing certificates Who This Video Is For For database administrators and system administrators who handle or plans to handle certificates for encrypting data on SQL Server instances.
    Note: Online resource; Title from title screen (viewed June 27, 2019)
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    Machine Learning and Data Science with Python : A Complete Beginners Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838980689
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning and data science for programming beginners using Python with scikit-learn, SciPy, Matplotlib and Pandas About This Video Learn machine learning and data science using Python A practical course designed for beginners who are interested in machine learning using Python In Detail Artificial intelligence, machine learning, and deep learning neural networks are the most used terms in the technology world today. They’re also the most misunderstood and confused terms. Artificial intelligence is a broad spectrum of science which tries to make machines intelligent like humans, while machine learning and neural networks are two subsets that sit within this vast machine learning platform. But in this course, you will focus mainly on machine learning, which will include preparing your machine to make it ready for a prediction test. You will be using Python as your programming language. Python is a great tool for the development of programs that perform data analysis and prediction. It has a variety of classes and features that perform complex mathematical analyses and provide solutions in just a few lines of code, making it easier for you to get up to speed with data science and machine learning. Machine learning and data science jobs are among the most lucrative in the technology industry in recent times. Exploring this course will help you get well-versed with essential concepts and prepare you for a career in these fields. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Machine-Learning-and-Data-Science-with-Python-A-Complete-Beginners-Guide . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed May 29, 2019)
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    Exam MD-100 Windows 10 (Video) (2019)
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 12 min.)
    Edition: 1st edition
    Keywords: Microsoft Windows (Computer file) Study guides Examination ; Electronic data processing personnel Certification ; Electronic videos ; local ; Microsoft Windows (Computer file) ; Electronic data processing personnel ; Certification ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Abstract: More than 8 hours of video instruction to help you support your organization’s Windows 10 deployment and prepare for Exam MD-100 Windows 10, one of the exams required to achieve Microsoft 365 Certified: Modern Desktop Administrator Associate. Overview This engaging, self-paced instructional video course demonstrates various aspects of deploying, maintaining, and securing Windows 10 devices and data. You learn methods and technologies that help you install and configure Windows 10, develop device management policies, protect data, improve security, configure networking, and more. If you’re planning to take Exam MD-100 Windows 10, this video course covers the exam objective domains published by Microsoft in a logical way for learning the technology and preparing for the exam. Throughout each lesson, Microsoft certified trainer and technical author Andrew Warren describes key concepts and puts them into action with demonstrations and real-world scenarios. You can follow along by building a test lab using virtual machines. About the Instructor Andrew Warren has more than 30 years of experience in the IT industry, many of which he has spent teaching and writing. He is a Microsoft Certified Trainer and has been involved as a subject matter expert in many of the Windows Server 2016 courses and as the technical lead in many Windows 10 courses. He also has been involved in developing TechNet sessions about Microsoft Exchange Server. He is the co-author of Exam Ref MD-100 Windows 10 and Exam Ref MD-101 Managing Modern Desktops and the author of Exam Ref 70-741 Networking with Windows Server 2016 and Exam Ref 70-742 Identity with Windows Server 2016 , published by Microsoft Press. Andrew is based in the United Kingdom and lives in rural Somerset, where he runs his own IT training and education consultancy. Skill Level Intermediate Learn How To Deploy Windows Manage devices and data Configure connectivity Maintain Windows Who Should Take This Course IT professionals who deploy, configure, secure, manage, and monitor devices and client applications in an enterprise environment IT professionals who manage identity, access, policies, updates, and apps IT professionals who want to explore new and updated features in Windows 10 Windows 10 administrators preparing for Exam MD-100 Windows 10 Course Requirements Foundational IT skills Basic understanding of and experience with Windows networking
    Note: Online resource; Title from title screen (viewed September 12, 2019)
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    Creating and Animating a 3D Object with Adobe Photoshop and Cinema 4D Lite : Preparing a Photograph with Keyframing, Materials, and Lighting (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484245095
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Prepare a photograph in Photoshop for use as a texture and surface for a 3D object in Cinema 4D Lite, and then animate that 3D object. This video shows you how 3D animation can stand alone and how you could incorporate it into After Effects to add effects and other elements to your animation project. You’ll go through an example that covers a wide variety of skills you can apply to your future project and see the process from start to finish in Adobe Photoshop and After Effects/Cinema 4D Lite. You’ll make selections, add layers, mask, create materials and objects, modify them, and animate the result. This video includes a detailed step-by-step explanation of every aspect involved in the making of the final video. What You Will Learn Use editing and layer masking in Photoshop Create a new project and import a Photoshop file in Cinema 4D Lite Master keyframing and basic animation principles, such as motion path and easing Apply materials and lights to a 3D object in Cinema 4D Lite Animate a 3D object in Cinema 4D Lite and prepare it for use in After Effects
    Note: Online resource; Title from title screen (viewed March 14, 2019)
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    Certified Ethical Hacker (CEH), 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 hr., 36 min.)
    Edition: 2nd edition
    Series Statement: LiveLessons
    Keywords: Computer security Study guides Examinations ; Penetration testing (Computer security) Study guides Examinations ; Hacking Study guides Examinations ; Computer networks Study guides Security measures ; Examinations ; Electronic data processing personnel Certification ; Electronic videos ; local ; Sécurité informatique ; Examens ; Guides de l'étudiant ; Tests d'intrusion ; Examens ; Guides de l'étudiant ; Piratage informatique ; Examens ; Guides de l'étudiant ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Examens ; Guides de l'étudiant ; Computer networks ; Security measures ; Examinations ; Computer security ; Examinations ; Electronic data processing personnel ; Certification ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Abstract: 18+ Hours of Video Instruction Learn everything you need to know to pass the Certified Ethical Hacker exam. Overview Certified Ethical Hacker (CEH) Complete Video Course provides a complete overview of the topics contained in the EC-Council Blueprint for the CEH exam. With 5 modules containing more than 18 hours of training, this course covers all concepts in the objectives so you can master the knowledge you need to pass the exam. Build your ethical hacking skills with the foundations of reconnaissance, footprinting, enumeration, and vulnerability analysis and dive into hacking web servers, applications, wireless networks, IoT devices, and mobile platforms. Veteran security experts Omar Santos, Nick Garner, and Bo Rothwell provide a thorough foundation through demos and best practices for security risk analysis, as well as hacking tools and methods. With this knowledge, you will be able to confidently mitigate and help guard your network from the multifaceted attacks that you will encounter while also preparing you to pass the CEH exam. Regardless of your level of experience, this video course explores all sides of a multi-pronged cybersecurity attack to ensure that you are prepared to combat attack threats. About the Instructors Omar Santos is an active member of the cybersecurity community, where he leads several industry-wide initiatives and standards bodies. He is a principal engineer of the Cisco Product Security Incident Response Team (PSIRT), where he mentors and leads engineers and incident managers during the investigation and resolution of cyber security vulnerabilities. He is the author of several cybersecurity books and video courses. You can obtain additional information about Omar’s projects at omarsantos.io and h4cker.org. Nick Garner , CCIE No. 17871, is a solutions integration architect for Cisco Systems. He has been in Cisco Advanced Services supporting customers in both transactional and subscription engagements for 8 years. In his primary role, he has deployed and supported large-scale data center designs for prominent clients in the San Francisco Bay area. His primary technical focus outside of data center routing and switching designs is security and multicast. William “Bo” Rothwell has a passion for understanding how computers work and sharing this knowledge with others has resulted in a rewarding career in IT training. His experience includes Linux, Unix, and programming languages such as Perl, Python, Tcl, and BASH. H...
    Note: Online resource; Title from title screen (viewed July 10, 2019)
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    Building AI Applications on Google Cloud Platform (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Overview There is a rapid evolution occurring in machine learning with tools like AutoML that basically automate many of the tedious aspects of machine learning and allow developers to focus on getting results into production. Noah Gift illustrates just now to harness this technology and deploy it successfully on Google Cloud Platform, demonstrating for developers how to employ the current best practices and automated tools to create analytics applications that solve real-world problems. Developers who want to take their Data Science skills to the next level and build AutoML applications in the Cloud will benefit from this unique course, as they learn how to use AutoML, Big Query, Python, and Google App Engine to create sophisticated AI. Description Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Developers use Cloud AutoML’s graphical user interface to train, evaluate, improve, and deploy models based on their data. This LiveLesson covers programming components essential to the development of AI and Analytics applications. The focus is on building real-world software engineering applications on the Google Cloud Platform. Several emerging technologies are used to demonstrate the process, including AutoML and Google BigQuery. The Python language is used throughout the course, as Python is becoming the de facto standard language for AI application development in the cloud. Download the supplemental files for this LiveLesson from http://www.informit.com/store/building-ai-applications-on-google-cloud-platform-livelessons-9780135973509 . About the Instructor Noah Gift is a lecturer at the UC Davis Graduate School of Management, MSBA program, the Graduate Data Science program, MSDS, at Northwestern and the Graduate Information and Data Science Program at UC Berkeley. He is teaching and designing graduate machine learning, AI, Data Science, and Cloud Architecture courses. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, AWS Certified Big Data-Specialist, AWS Certified Machine Learning-Specialist, AWS Academy Accredited I...
    Note: Online resource; Title from title screen (viewed August 8, 2019)
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    Blockchain in Swift : Decentralized iOS Programming (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484253823
    Language: English
    Pages: 1 online resource (1 video file, approximately 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Implement Blockchains in iOS applications using the Swift programming language while working with the basics of blockchain development. In the first part of this video, the logic behind blockchains will be explained and then the same logic will be implemented in iOS application development. You’ll work to develop a sample application where you'll allocate two accounts which will have a certain amount of bitcoins in them. Then you'll transfer those bitcoins between those accounts using blockchain technology by clicking transfer buttons in the application. What You Will Learn Implement blockchains in iOS applications Define blockchains in Swift Develop a sample blockchain application Who This Video Is For Experienced Swift developers who want to work with blockchains and decentralized programming.
    Note: Online resource; Title from title screen (viewed September 27, 2019)
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    Abstraction in Computer Networks (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Computer networks rely on many forms of abstraction to scale‚Äìindeed, to operate at all. While at least some of this abstraction is visible, such as route aggregation and flooding domain boundary summarization, much of it is hidden in unexpected places, such as in the logical construction of a network device, in the operation of BGP route reflectors, and in the data plane protocol stack. Abstraction in Computer Networks LiveLessons considers abstraction in theory and practice across many of the places it is used in building network devices, network software, and networks. Tradeoffs and common problems are considered, and the relationship between abstraction and complexity is discussed. Viewers learn how to think about what abstraction hides, and why it is important to hide each of these things. They also learn how to look in unexpected places for abstraction, how to think about leaky abstractions, and how Keith’s Law and the first corollary to Keith’s Law impact abstraction, including unintended consequences. Abstraction also relates to the State/Optimization/Surface tradeoff triad, so a section of this LiveLesson considers that tradeoff and how abstraction controls the speed and amount of state, impacts the depth and breadth of interaction surfaces, and reduces optimization. About the Instructor Russ White has more than 25 years of experience in designing, deploying, breaking, and troubleshooting large-scale networks. In that time, he has co-authored more than 40 software patents, has spoken at venues throughout the world, has participated in the development of several Internet standards, has helped develop the CCDE and the CCAr, and has worked in Internet governance with the ISOC. Russ is currently a member of the artchitecture team at LinkedIn, where he works on next-generation data center designs, complexity, security, and privacy. His most recent books are The Art of Network Architecture , Navigating Network Complexity , and Problems and Solutions in Network Engineering . MSIT Capella University, MACM Shepherds Theological Seminary, PhD in progress from Southeastern Theological Seminary CCIE No. 2635, CCDE 2007:001, CCAr Skill Level Beginner-Intermediate strong〉Learn How To Find and understand abstraction, including hidden abstractions, in a network Find and understand the tradeoffs between abstraction, complexity, understandability, and network optimization Understand the relationship between Keith’s Law, the first corollary to Keith’s ...
    Note: Online resource; Title from title screen (viewed June 28, 2019)
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    Test in production : Yes, you can (and you should) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Testing in production has gotten a bad rap. People act like testing in production implies you aren’t doing due diligence with your tests before production. But it’s more like a fact of life: you can only catch the easy bugs in staging—the known-unknowns, the things you predicted would fail, and the things that have failed before. Which isn’t nothing, but it’s no better than running tests on your laptop. Most interesting problems are only going to manifest under real workloads, on real data, with real users doing unpredictable things under real concurrency and resource pressure. So you should use much fewer of your scarce engineering cycles poring over staging and much more of them building guard rails for prod. Production—where your customers live—is the only environment that matters. Time spent interacting with nonprod systems is wasted time. Replicas are not valuable for helping build your instincts, your skill set, your intuition. Secondary environments actually train you to expect faulty assumptions and to take dangerous shortcuts and run terrifying commands. You should force people to develop and test on production as much as possible and interact with production every day. Charity Majors (Honeycomb) dives into tooling and shares ways to harden production and make it safe for engineers to do their work directly on it—from deploys and canarying to feature flags, instrumentation and observability, human practices and workflows, and much more. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Technology Strategy Patterns (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Technologists who want their ideas heard, understood, and funded are often told to speak the language of business—without really knowing what that is. This book’s toolkit provides architects, product managers, technology managers, and executives with a shared language—in the form of repeatable, practical patterns and templates—to produce great technology strategies. Author Eben Hewitt developed 39 patterns over the course of a decade in his work as CTO, CIO, and chief architect for several global tech companies. With these proven tools, you can define, create, elaborate, refine, and communicate your architecture goals, plans, and approach in a way that executives can readily understand, approve, and execute. This book covers: Architecture and strategy: Adopt a strategic architectural mindset to make a meaningful material impact Creating your strategy: Define the components of your technology strategy using proven patterns Communicating the strategy: Convey your technology strategy in a compelling way to a variety of audiences Bringing it all together: Employ patterns individually or in clusters for specific problems; use the complete framework for a comprehensive strategy
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Tableau LiveLessons (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Put learning into practice with Tableau LiveLessons for the aspiring visual data storyteller. There is a data revolution happening across the globe. From academics to politics and everywhere in between, the world’s stories are being told through their data points. Although telling stories about data isn’t new, we are now telling them in ways that are more meaningful and impactful than ever before as an emerging new class of visualizations attempts to tell the world’s stories through the power of data visualization. However, visual data storytelling is not an inherent skill, and data stories differ from traditional storytelling in many ways. Further, while robust visualization tools support rich and diverse forms of visual data storytelling capabilities, crafting a compelling data narrative is not a process that we can rely on a tool to do for us. These lessons provide a hands-on foundation for users to learn how to craft visual data narratives using the most appropriate visualizations, apply visual design to engage their audience, and purposefully structure a narrative framework to deliver a compelling, actionable data story that invites discovery, solicits new questions, or offers alternative explanations–all using one of the most powerful and ubiquitous visualization tools on the market today, Tableau. Skill Level Beginner Learn How To- Tell visual stories that communicate insights and make an impact Leverage questions to design logical and fruitful data collection and analysis Create important graphs in Tableau and know which chart to use Utilize concepts of design in data visualization and storytelling Storyboard your story for your message based on your audience Direct your audience's attention to the most important parts of your data story Design effective business presentations to showcase your data story with Tableau Who Should Take This Course Analysts sharing the results of their data discovery or analysis Students communicating data for reports or presentations Teachers helping learners (of any age) to cultivate visual data literacy Executives and business managers reporting data-driven results or metrics Journalists giving data the starring role in their editorials Course Requirements A willingness to learn how to tell stories through data Access to Tableau Desktop (Windows or Mac), version 10 or higher Related Files The supplemental content for this LiveLesson can be downloaded from Githuub at: https:...
    Note: Online resource; Title from title screen (viewed February 12, 2019)
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    Spotlight on Data : Improving Uber’s Customer Support with Natural Language Processing and Deep Learning with Piero Molino (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: For a company looking to provide delightful user experiences, it's critical to resolve customer issues quickly and efficiently. Uber has implemented COTA, a system that helps representatives provide the best experience to customers by suggesting the best solutions. COTA improves the speed and reliability of customer support through automated ticket classification and answer selection for support representatives. By improving speed and reliability, COTA also helps reduce customer support operations costs. In this Spotlight on Data , find out how Uber leverages large-scale data and deep learning models for operational efficiency and improved user experience. Piero Molino details how Uber has reduced issue resolution time by 20% while maintaining levels of customer satisfaction, using NLP, deep learning, A/B testing, and productionized models. Recorded on July 2, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed October 17, 2019)
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    Spotlight on Data : Caching Big Data for Machine Learning at Uber with Zhenxiao Luo (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven machine learning to create seamless trip experiences. Within engineering, big data and machine learning inform decision-making processes across the board. As Uber expands to new markets, the ability to accurately and quickly use data to make predictions becomes even more important. In this case study, Uber’s Zhenxiao Luo details the company's machine learning architecture and talk about how Uber uses big data to power machine learning jobs. Recorded on June 17, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
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    Sooner than you think : Neural interfaces are finally here (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: During the past decade, significant advancements in artificial intelligence and machine learning have expanded how we communicate and interact with the world. There are more screens and devices in our lives, but our ability to control these devices hasn’t kept pace. While controversial projects involving invasive brain-machine interfaces have been grabbing headlines, this technology is still decades away from exiting the lab and changing how we interact with the digital world for the better. Patrick Kaifosh outlines a future where we’ll be looking up at the world instead of down at our phones. With the launch of the CTRL-labs developer kit (CTRL-kit), noninvasive neural interfaces are finally here, and the possibilities are almost limitless. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Salesforce Certified Administrator - Revision Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838550813
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Gain the confidence and proficiency to take up the Salesforce Certified Administrator exam About This Video Powerful combination of theory and hands-on guidance through the Salesforce platform Training content is broken down into bitesize videos that can be re-used as reference videos after your certification Extensive inclusion of Trailhead modules and projects to increase your hands-on experience and learning In Detail Salesforce is a fast-growing business solution suite, constantly improving and adding new functionality to its features. This course will serve as a key guide to help you in your certification journey by covering all the topics to help you update your skills and acquire in-depth knowledge of the Salesforce platform. This course will enable you to sharpen your problem-solving skills and strengthen your knowledge of key topics in a practical way and is ideal for administrators at all levels (new and experienced). Every section will cover a module/topic which will be part of the certification. You will also review some example/mock questions that are highly likely to be asked in the certification exam. After covering basics such navigating the Salesforce environment and application and getting your organization ready for users, you will start by setting up and managing user types and profiles. You will cover data and security and also move on to maintaining and customizing Sales Cloud and Service Cloud apps. You will learn how to build reports and dashboards to maximize the look and feel of the application and to enhance user experience. You will set up workflows for automation and manage the support process. You will also look at the configuration, data management, data analytics, and mobile administration. You will cover techniques to enhance your system management efficiently. By the end of this comprehensive course, you will be confident and proficient in your skills and will be all set to take up and succeed at your Salesforce Certified Administrator exam.
    Note: Online resource; Title from title screen (viewed July 19, 2019)
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    Red Hat Certified System Administrator (RHCSA), 3/e (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 16 hr., 10 min.)
    Edition: 3rd edition
    Keywords: Electronic videos ; local
    Abstract: 16+ Hours of Video Instruction Red Hat Certified System Administrator (RHCSA) Complete Video Course 3rd Edition has more than 16 hours of comprehensive video training—which includes whiteboard concept teaching, live CLI work, screencast teaching, and hands-on labs—so you have everything you need to study for and pass the RHCSA exam. This new edition of the best-selling RHCSA Complete Video Course , is fully updated for the RHEL 8 version of the exam. Overview The Red Hat Certified System Administrator (RHCSA) Complete Vide Course , 3rd edition is all new and fully updated for RHEL 8. This course is designed to teach you everything you need to know to pass the RHCSA exam. Every objective in the exam is discussed, along with in-depth lessons on complex topics, so they are not confusing. Each lesson ends with a lab, so you can dive into your own projects and see Red Hat in action; many of these labs mimic scenarios you might find on the exam, so you get the experience you need to practice for the exam. These labs also include video solutions, so you can also see in real-time how to work through the problems and figure out the best methods for working through each scenario. This course includes: All new videos Whiteboard instruction to help you grasp difficult concepts CLI instruction so you can see Red Hat in action Labs so you can practice your skills, plus solution videos so you can then compare your work to the author's Topics include: Module 1: Performing Basic System Management Tasks Module 2: Operating Running Systems Module 3: Performing Advanced System Administration Tasks Module 4: Managing Network Services Module 5: Sample Exam This engaging self-paced video training solution provides learners with more than 16 hours of video instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos, you will gain an in-depth understanding of all topics on the Red Hat Certified Administrator (RHCSA) exam, as well as a deeper understanding of Red Hat Enterprise Linux, so you master the key foundational principles of systems administration. The combination of video, labs, practice exams, and virtual machines is a unique offering that gives you a full toolkit to learn and excel on your exam. About the Instructor Sander van Vugt has been teaching Linux classes since 1995 and has written more than 60 books about different Linux-related topics. Sander is a Red Hat C...
    Note: Online resource; Title from title screen (viewed May 30, 2019)
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    Python for Data Science Complete Video Course (Video Training) (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 9+ Hours of Video Instruction While there are resources for Data Science and resources for Machine Learning, there's a distinct gap in resources for the precursor course to Data Science and Machine Learning. This complete video course fills that gap--it is specifically designed to prepare students to learn how to program for Data Science and Machine Learning with Python. This is the antidote to the over-complicated universe of these hot new, growing technologies. With this course, students will learn the fundamentals of Python and get prepared specifically for Data Science. Noah Gift and Kennedy Behrman take students with zero programming background through enough Python to prepare them for their Data Science curriculum. Companies are looking for developers who can create insight-driven systems, as they are now becoming critical to business success. Very few professionals are adequately trained to handle both large-scale software engineering and Machine Learning/AI. This is an emerging field, and we are developing the training to meet this need in the marketplace. Description Notebook-based Data Science programming in Python is the emerging standard but there is a dearth of quality training material available for beginners. This 9-hour video provides foundational training on the Python language for the novice or beginner programmer looking to start in the Data Science field. The video serves as the 100-level course for a Data Science undergraduate or graduate program. The course has been designed around Colab notebook-based learning. Students would be able to run every exercise shown in the videos. The material focuses on a smaller, easier subset of Python that is needed just for Data Science coding. Skill Level Beginner What You Will Learn Learn Google Colab notebook Data Science programming Learn the essential subset of Python used in Data Science Learn to manipulate data using popular Python libraries such as pandas and numpy Learn to apply Python Data Science recipes to real-world projects Learn functional programming fundamentals unique to Data Science Who Should Take This Course Complete beginners to programming Statisticians and Analysts in the data industry looking to use Python for Data Science Sales, Product Managers, Data Analysts, Marketing who want to perform Data Science Software Engineers looking to level up into Data Science and Machine Learning tracks Students enrolled in a Data Science program Course Requirements General comp...
    Note: Online resource; Title from title screen (viewed April 2, 2019)
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    Python A-Z - Learn Python Programming By Building 5 Projects (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839212956
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Python programming masterclass for beginners – learn all about Python 3 with object-oriented concepts, five projects and more! About This Video No prior knowledge of Python is required. You will learn how to write clean and proper Python code as we take you through the concepts, some example projects, and the proper programming structure. Acquire the prerequisite Python skills to move into specific branches of web development, data science, image processing, and more. In Detail Welcome to "Python Programming A-Z – Learn Python Programming by Building Five Projects," a course that takes you through your Python journey from beginner to advanced step by step. This course touches on every important concept of the latest version of Python, Python 3. Throughout the course, we will explore the most essential Python features: Basics of Python programming – expressions, variables, and printing output Python operators – the Python assignment operator, relational and logical operators, and short circuit operators Python conditionals and if statements Methods – parameters, arguments, and return values Object-oriented programming – classes and objects Encapsulation, inheritance, and abstract classes Python data structures in-depth – lists, sets, dictionaries, and tuples Conditionals – if/else statements and nested if/else Loops – for loops, while loops, break, and continue The mutability and immutability of Python’s basic types Built-in and user-defined modules Errors and exception handling – try, except, else, and finally Custom exceptions – raising exceptions and creating and raising a custom exception Data analysis with Pandas Face recognition with OpenCV Building a GUI application with Tkinter An automated Twitter bot with Tweepy Understanding the basics of databases and working with SQLite 3 Five projects with OpenCV, pandas, PyTube, Tkinter, Tweepy, and more After completing this course, you will be ready to work as an intern, fresher, or freelancer, and you will also be able to implement everything yourself! Most importantly, you will be ready to use the huge scope offered by Python programming.
    Note: Online resource; Title from title screen (viewed October 11, 2019)
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    OSCON 2019 - Portland, Oregon (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 160 hr., 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: OSCON Portland 2019 brought together a vibrant and diverse collection of talented speakers (open source leaders from around the globe) who do amazing things with open source technologies. This outstanding group provided the conference attendees (thousands of software developers, programmers, architects, engineers, CxOs, hackers, geeks, and analysts) with the opportunity to explore the latest open source tools and technologies; get expert in-depth training in crucial languages, frameworks, and best practices; and gain exposure to the open source stack in all its possible configurations. This video compilation offers you the chance to see and hear the best of OSCON Portland 2019. If you want to know how to build an open source culture at your company, work in a cloud environment that isn't always open source-friendly, understand how machine learning can make or break your code, or implement new technologies like Kubernetes and TensorFlow, then getting the OSCON Portland 2019 video compilation is for you. Highlights include: Complete video recordings of OSCON Portland 2019’s best keynotes, tutorials, and tech sessions offering hours of material to study and absorb at your own pace and schedule Keynotes, including Adam Jacob (Chef) on the war for the soul of open source; Kay Williams (Microsoft Azure) on lessons learned building a strong Kubernetes/VSCode open source community; Adrian Cockcroft (AWS) on leveraging cloud vendors to boost open source business success; and Pete Skomoroch (Workday) on the urgent need for a new open source ML development stack Tutorials offering deep dives into open source tech like Apache Kafka, Rust, extended Berkeley Packet Filters, Spring/Spring Boot, Ethereum DApps, Jenkins 2, Vault/Kubernetes, and Kubeflow The OSCON Business Summit: sessions offering an insider’s look at the open source implementations that have the most profound impact on business with talks by open source specialists at Uber, Pacific Life, Verizon Media, The Home Depot, Baidu, the BBC, and more Open Source do-it-now sessions, including Deb Nicholson’s (Software Freedom Conservancy) whirlwind tour of what not to do when running an open source project; Russell Rutledge’s (Nike) take on how to build an open source culture at your company; and Angie Jones (Applitools) and a panel of experts from Persea Consulting, Red Hat, Magento, and ForgeRock on the best ways to build and maintain open source communities Emerging Languages and Frameworks session...
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    O'Reilly Strata Data Conference 2019 - New York, New York (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 149 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The 2019 Strata Data Conference NYC, the biggest Big Data conference in the world, was a massive success. Packed with thousands of attendees, Strata gathered the world's top data practitioners to provide expert guidance on the tools and technologies you need to make your data strategies and projects work today. This video compilation holds the best of Strata NYC 2019's keynotes, tutorials, and technical sessions. Looking for a head start on the data techniques and technologies you need to succeed? This compilation points the way forward by offering you hours of material to study and absorb at your own rate. The compilation includes such gems as Data Engineering and Architecture sessions, where you'll learn how to select the right type of data infrastructure and architecture to streamline your workflows, reduce costs, and scale your data analysis; Data Science, Machine Learning (ML) and AI sessions, where you'll learn how to use text mining, real-time analytics, large-scale anomaly detection and other techniques to discover the hidden insights in your data; and all of the best talks from the Strata Business Summit, where you'll receive an insiders-only look at the processes and technologies some of the world's most successful companies used to develop their own data strategies. Highlights include: A front row seat at 2019's Strata Data Conference NYC best keynotes, tutorials, and technical sessions—contains hundreds of hours of material to study and absorb at your own pace. Keynote speeches from Big Data's most inspiring business visionaries, such as Sara Menker (CEO, Gro Intelligence), Cassie Kozyrkov (Chief Decision Scientist, Google Cloud), Swatee Singh (VP Big Data/ML, American Express), and Robert D. Thomas (GM, IBM Data and AI). Deep dive tutorials including Jules Damji's (Databricks) sold out session on managing the complete ML lifecycle with MLflow; Karthik Ramasamy's (Streamlio) review of serverless streaming architectures and algorithms for the enterprise; and Mark Donsky (Okera) on how to secure your data lakes to meet the rigors of CCPA privacy regulations. Data Engineering and Architecture sessions, including Navinder Pal Singh Brar (Walmart Labs) on building multitenant data processing and model inferencing platforms with Kafka Streams; Paige Roberts (Vertica) on the whys and hows of putting large stateful applications into containers and Kubernetes; Tomer Levi (Fundbox) on using AWS Step Functions, Docker containers, and ECS Farg...
    Note: Online resource; Title from title screen (viewed September 25, 2019)
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    O'Reilly Software Architecture Conference 2019 - Berlin, Germany (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. Thousands of software architects, aspiring software architects, senior developers, system leads, tech leads, software engineers, data architects, and tech team managers came together at O’Reilly Media’s Software Architecture Conference Berlin 2019 to learn how to design, build, and improve the architectures that are the foundation of all modern software systems. Who did the attendees learn from? They learned from experts like senior software architect Carola Lilienthal (Workplace Solutions), a 30-year software engineering vet, who broke down the causes and costs of technical debt and then outlined the ways to eliminate it. And they learned from site reliability expert Jibby Ayo-Ani (Welkin) as she described Google’s BeyondCorp, a new enterprise security model in cloud computing that every software architect needs to understand. These speakers and gave SACON Berlin 2019’s attendees what they hoped to receive: The knowledge and insights required to become the best software architects they could be. Get this video compilation of SACON Berlin 2019 and you’ll gain the opportunity to increase your skill set and move forward in your software architecture career. Highlights include: Complete video coverage of SACON Berlin 2019’s best keynotes, tutorials, and technical sessions—this compilation contains hours of SACON talks to study and absorb at your own pace and schedule. Keynote addresses from software architecture’s most incisive thinkers, including Bosatsu Consulting President Brian Sletten, ThoughtWorks principal technology consultant Zhamak Dehghani, and the Cloud Native Computing Foundation’s Director of Ecosystem, Cheryl Hung. Hands-on tutorials covering subjects like reusable information architecture; event storming for domain-driven design modeling; and building, specifying, and testing APIs with microservices. Application Architecture sessions, including Patrick Kua (Chief Scientist, N26) on scaling out architectural decision-making during rapid growth; Vladik Khononov (Chief Architect, Naxex) on DDD’s most common mistakes; and Paddy Fagan (Chief Architect, IBM Watson Care Manager) on implementing continuous architectural refactoring in a SaaS offering. Distributed Systems sessions, such as on the need for autonomous APIs in a landscape of impossibly complex distribu...
    Note: Online resource; Title from title screen (viewed November 6, 2019)
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    NLP from scratch : Solving the cold start problem for natural language processing (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Unstructured data in the form of documents, web pages, and social media interactions is an ever-growing, ever-more valuable data source for addressing present business problems, from exploring brand sentiment to identifying sensitive information in internal documents. Unfortunately, the classification and annotation algorithms behind solving these problems often require significant amounts of labeled training data to produce desired accuracy. Michael Johnson and Norris Heintzelman (Lockheed Martin) share several techniques they’ve implemented to build classification and NER models from scratch. They lead a tour through this space as it applies to NLP and demonstrate their approach and architecture for the following techniques: Weak supervision for news documents: Using rules base classification alongside deep learning system for text classification Active learning and human in the loop: Explaining how breakthroughs in transfer learning for NLP have impacted their active learning framework for building an LSTM-based relevance model Creative training sets: Identifying and cleaning already-labeled datasets, training classifier on “only” positive examples NER adjudication: Combining knowledge from several annotation sources that leverages the strengths of each source For each of these topics, Michael and Norris outline the theoretical foundation, the implementation architecture, and tools used and discuss the problems they encountered—so you can avoid making the same mistakes.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Moving to an Open Source World (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484244418
    Language: English
    Pages: 1 online resource (1 video file, approximately 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Moving away from a largely proprietary software world and towards OSS can be a big decision. This video helps you ensure that this decision works right for you and your organisation, and that can involve evaluating several different aspects of the move. Also, a number of myths and misbeliefs abound concerning OSS. It is important to separate the facts from the fiction, so you can avoid misleading information that might lead you to make the wrong decision. This video breaks the decision process down into a series of considerations (costs, licensing, quality, and so on). By doing so, you will understand the consequences involved and gain a useful framework for making the decision yourself. This video also educates you about prominent myths concerning OSS, thus helping you avoid being misled when making your evaluations. What You Will Learn Systematically analyse the costs and benefits of moving to OSS Identify and overcome the hurdles in each software domain Who This Video Is For A typical viewer has some experience in terms of programming skill, but they have used only proprietary tools. They are aware of what OSS is, and they are considering moving at least part of their toolset to open source solutions.
    Note: Online resource; Title from title screen (viewed January 7, 2019)
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    Modern Web Design Patterns in Angular 8 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789612813
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: An overview of enterprise-ready, modern web development with examples showing popular Angular concepts and strategies About This Video Addresses the challenges you'll meet transitioning to TypeScript from JavaScript Learn key Angular concepts so that you can develop your own powerful web apps Confidently build your own website using Angular and apply what you've learned to practical web development projects In Detail Angular is one of the largest and most widely used frameworks for front-end and full-stack web development; the Angular community is very eager to get hands-on with its latest features. Design patterns allow for a structured and more intuitive way to build applications that are modular, highly scalable and fault-tolerant. This course will serve as a practical and insightful journey through the most valuable design patterns in use, and provides clear guidance on how to use them effectively in Angular. You will explore the best ways to work with Angular and how to use it to achieve the stability and performance required in today's web development world. You'll get to know best practices to improve your productivity and your application's code base. By the end, you’ll be capable using Angular 8 (and future versions) to build better applications that are scalable and high-performing.
    Note: Online resource; Title from title screen (viewed June 26, 2019)
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    Learning from multiagent emergent behaviors in a simulated environment (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Traditionally, determining the most efficient designs and practices—whether for determining how store merchandise should be arranged or where people and machines should be laid out in a factory floor—has required vast amounts of data and human assessment. These efficient designs can be the difference between a thriving company and a struggling one. Recent advancements in multiagent reinforcement learning within virtual environments, such as DeepMind’s Capture the Flag or Open AI’s Learning to Compete and Cooperate, have led to a novel approach for tackling efficient design and practices. Danny Lange (Unity Technologies) explains how observing emergent behaviors of multiple AI agents in a simulated virtual environment can lead to the most optimal designs and real-world practices, all without introducing human bias or the need for vast amounts of data. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Having the bubble : How your experts build, maintain, and spread deep system knowledge (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We fret about how to break system knowledge out of knowledge silos—the expert individuals with a deep intuitive understanding of our complex systems. How do these people engage with the system and act to protect, fortify, and improve it? How can engineering organizations protect and fortify experts as a key part of their observability strategy? Beth Long (New Relic) explains how those experts represent both a vulnerability and a strength and why understanding them as a key mechanism in your larger systems helps you harness their power and protect against fragility. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Getting Started with MongoDB and NoSQL (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 4+ Hours of Video Instruction Overview The need for unstructured data management has grown beyond what many have expected with overwhelming amounts of data being generated from social media, cell phones, voice and video data, cars, smart technology, and IoT. How can we store this data and allow ourselves to build applications not strictly tied to a structure defined by columns in a table? You can do so with unstructured databases such as MongoDB! MongoDB is the premier database in the NoSQL landscape, and this course provides the fundamental concepts and tools needed to make use of dynamic database systems. If you have SQL experience and want to expand to NoSQL databases, or if you’re fairly new to databases but you want to understand what all the hype around MongoDB is about, this course is your ticket! Description This LiveLesson gives first-time MongoDB users what they need to become successful database developers. Caleb Curry starts by clearly defining what MongoDB is and when you should consider it over a relational database. Throughout the course, Curry shows best practices on how to use MongoDB properly and avoid common pitfalls. He covers structured versus unstructured data, setup and getting started, CRUD commands (create, read, update, delete), aggregation, data models, transactions, indexes, security and authentication, administration, storage engines, and more. After finishing this course, users can create and manage a MongoDB database for their own data-driven applications. About the Instructor Caleb Curry is a popular tech YouTuber, independent software developer, and ex-IBMer. Caleb has successfully taught thousands of people to code with languages such as Java, C#, JavaScript, C, and SQL. He looks forward to the opportunity to help people experience the pleasures of coding. With a fun personality yet great attention to technical detail, Caleb’s trainings are enjoyable and effective. Skill Level Beginning to Intermediate What You Will Learn Learn the differences between structured and unstructured data Understand JSON, nested documents, and references Deploy a MongoDB cluster in the cloud using MongoDB Atlas Interface...
    Note: Online resource; Title from title screen (viewed October 22, 2019)
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    Expert Playlist Intro : Lessons from Amazon, Google, Apple and Other Silicon Valley Giants (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this brief introduction to Tim O'Reilly's Expert Playlist , find out why he selected these pieces to study how some of the most advanced companies on the planet not only use technology but build their culture to support it.
    Note: Online resource; Title from title screen (viewed August 25, 2019)
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    Executive Briefing : Why machine-learned models crash and burn in production and what to do about it (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Much progress has been made over the past decade on process and tooling for managing large-scale, multitier cloud apps and APIs, but there is far less common knowledge on best practices for managing machine-learned models (classifiers, forecasters, etc.), especially beyond the modeling, optimization, and deployment process once these models are in production. A key mindset shift required to address these issues is understanding that model development is different than software development in fundamental ways. David Talby (Pacific AI) shares real-world case studies showing why this is true and explains what you can do about it, covering key best practices that executives, solution architects, and delivery teams must take into account when committing to successfully deliver and operate data science-intensive systems in the real world. Topics include: Concept drift (Machine-learned models begin degrading as soon as they’re deployed and must adapt to a changing environment.) Locality and limited reuse and generalization of models A/B testing challenges, which make it very hard in practice to know which model will perform better in production Semisupervised and adversarial learning scenarios, which require modeling and optimizing models only once they’re in production The impact of all of the above on product planning, staffing, and client expectation management This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Exam MD-101 Managing Modern Desktops (Video) (2019)
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Details
    ISBN: 9780135971673 , 0135971675
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 32 min.)
    Edition: 1st edition
    Keywords: Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: 6+ Hours of Video Instruction More than 6 hours of video instruction to help you manage your organization’s Windows 10 desktops and prepare for Exam MD-101 Managing Modern Desktops; one of the exams required to achieve Microsoft 365 Certified: Modern Desktop Administrator Associate. Overview This engaging, self-paced instructional video course demonstrates how to deploy and update operating systems, manage policies and profiles, protect devices, and manage apps and data. If you’re planning to take Exam MD-101 Managing Modern Desktops, this video course covers the exam objective domains published by Microsoft in a logical way for learning the technology and preparing for the exam. Throughout each lesson, Microsoft certified trainer and technical author Andrew Warren describes key concepts and puts them into action with demonstrations and real-world scenarios. About the Instructor Andrew Warren has more than 30 years of experience in the IT industry, many of which he has spent teaching and writing. He is a Microsoft Certified Trainer and has been involved as a subject matter expert in many of the Windows Server 2016 courses and as the technical lead in many Windows 10 courses. He also has been involved in developing TechNet sessions about Microsoft Exchange Server. He is the co-author of Exam Ref MD-100 Windows 10 , Exam Ref MD-101 Managing Modern Desktops , Exam Ref 70-741 Networking with Windows Server 2016 , and Exam Ref 70-742 Identity with Windows Server 2016 published by Microsoft Press. Andrew is based in the United Kingdom and lives in rural Somerset where he runs his own IT training and education consultancy. Skill Level Intermediate Learn How To Deploy and update operating systems Manage policies and profiles Manage and protect devices Manage apps and data Who Should Take This Course IT professionals who deploy, configure, secure, manage, and monitor devices and client applications in an enterprise environment IT professionals who manage identity, access, policies, updates, and apps IT professionals who want to explore new and updated features in Windows 10 Candidates preparing for Exam MD-101 Managing Modern Desktops Course Requirements Experience deploying, configuring, and maintaining Windows 10 and non-Windows devices Familiarity with M365 workloads
    Note: Online resource; Title from title screen (viewed October 9, 2019)
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    Data Analytics and Machine Learning Fundamentals LiveLessons Video Training (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: More than 7.5 Hours of Video Instruction Overview Nearly every company in the world is evaluating its digital strategy and looking for ways to capitalize on the promise of digitization. Big data analytics and machine learning are central to this strategy. Understanding the fundamentals of data processing and artificial intelligence is becoming required knowledge for executives, digital architects, IT administrators, and operational telecom (OT) professionals in nearly every industry. In Data Analytics and Machine Learning Fundamentals LiveLessons , experienced CCIEs Robert Barton and Jerome Henry provide more than 7 1/2 hours of personal instruction exploring the principles of big data analytics, supervised learning, unsupervised learning, and neural networks. In addition to delving into the fundamental concepts, Barton and Henry address sample big data and machine learning use cases in different industries and present demos featuring the most common tools (such as Hadoop, TensorFlow, Matlab/Octave, R, and Python) in various fields used by data scientists and researchers. At the conclusion of this video course, you will be armed with knowledge and application skills required to become proficient in articulating big data analytics and machine learning principles and possibilities. Skill Level Beginner to intermediate data analytics/machine learning knowledge Learn How To * Understand how static and real-time streaming data is collected, analyzed, and used * Understand the key tools and methods that enable machines to learn and mimic human thinking * Bring together unstructured data in preparation for analysis and visualization * Compare and contrast the various big data architectures * Apply supervised learning/linear regression, data fitting, and reinforcement learning to machines to yield the information results you’re looking for * Apply classification techniques to machine learning to better analyze your data * Exploit the benefits of unsupervised learning to glean data you didn’t even know you were looking for * Understand how artificial neural networks (ANNs) perform deep learning with surprising (and useful) results * Apply principal components analysis (PCA) to improve the management of data analysis * Understand the key approaches to implementing machine learning on real systems and the considerations you must make when undertaking a machine learning project Who Should Take This Course * Anyone who wants to learn about machine learni...
    Note: Online resource; Title from title screen (viewed April 2, 2019)
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    Choreographing microservices (NY) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Choreographed microservices talk to each other asynchronously, blindly broadcasting notifications into a service cloud. Those notifications are handled by whatever client services are interested. These systems eliminate many of the problems associated with orchestrated systems (which work more like synchronous function calls) and are typically much faster than orchestrated systems, but they have their own idiosyncrasies and implementation challenges. Allen Holub explores the inherent problems in orchestrated systems and then looks at how choreography can solve those problems. Allen explores three approaches to choreography: HTTP based, pub/sub messaging based, and brokerless swarming systems. He introduces appropriate messaging architectures and frameworks and looks at several practical examples. Finally, Allen looks at event storming: one of the best approaches to designing choreographed systems. You’ll leave with an understanding of both why you should be using choreography for most high-level APIs and how to design and build these systems. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Choreographing microservices (San Jose, CA) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Choreographed microservices talk to each other asynchronously, blindly broadcasting notifications into a service cloud. Those notifications are handled by whatever client services are interested. These systems eliminate many of the problems associated with orchestrated systems (which work more like synchronous function calls) and are typically much faster than orchestrated systems, but they have their own idiosyncrasies and implementation challenges. Allen Holub explores the inherent problems in orchestrated systems and then looks at how choreography can solve those problems. Allen explores three approaches to choreography: HTTP based, pub/sub messaging based, and brokerless swarming systems. He introduces appropriate messaging architectures and frameworks and looks at several practical examples. Finally, Allen looks at event storming: one of the best approaches to designing choreographed systems. You’ll leave with an understanding of both why you should be using choreography for most high-level APIs and how to design and build these systems. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Building enterprise data products (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Much of the hardest work of creating effective data products in the enterprise is not in the complexity of the algorithms applied but in effective design and integration into downstream systems. Hilary Mason (Cloudera) shares a process for repeatedly creating effective AI products, from idea through process to specific design considerations, and explains how architecture and algorithmic choices can support or hinder this process. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    AWS Certified Developer (Associate) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 hr., 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 14+ Hours of Video One Line Sell More than 14 hours of video instruction preparing the viewer for the AWS Associate Level Certified Developer exam by discussing and demonstrating the services included in the published blueprint of the exam, including AWS CLI & SDK, IAM, VPC, EC2, Route53 DNS, S3, DynamoDB, etc. Overview This course, “AWS Certified Developer Complete Video Course” focuses on the role-based certification, AWS Developer Associate. According to Amazon, “this exam validates proficiency in developing, deploying, and debugging cloud-based applications using AWS.” Amazon Web Services currently has over 130 individual services available for use. Each service falls into an overarching category such as compute, storage, database, networking, etc. The AWS Developer Associate focuses on those services and concepts relevant to developers using, or intending to use, AWS services to create their applications. This course covers the published blueprint for the Associate level Certified Developer exam. It’s important to note that this course is not intended to teach you to how program or develop applications. The goal is to help you understand the services that are available to run the applications you develop through live demonstration. Each lesson begins with a walk-through to provide an overview of the topic and then goes into demonstration mode. The majority of the demonstrations in this course are accomplished with a free AWS Trial Account so you can follow along. This course takes a lab-based approach to teaching you, which means we will focus on how to develop throughout the training so you can get some hands-on experience working in AWS. You will also learn about the objectives in the exam, but the emphasis is on doing so you can gain the experience needed to actually develop in AWS as well as pass the test. Each lesson has a lab-based exercise that walks you through concepts and also allows you to dive into a project. Lab files are included as downloads with the course so you can work alongside the author and work on projects." Nick Garner has co-founded an IoT company that runs entirely on AWS infrastructure that he manages. He has certifications in AWS, CEH, CISSP and 2 CCIEs (routing/switching and security). He works with Amazon Web Services design on a daily basis, particularly with respect to extending enterprise services into cloud service providers such as Amazon AWS, Microsoft Azure, and Google Compute. Topics include: Module ...
    Note: Online resource; Title from title screen (viewed January 9, 2019)
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    Automating DevOps for machine learning (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: You’ve spent hundreds of hours cleaning your data, engineering features, and training and tuning your model to pinpoint accuracy. But now it’s time to deploy your model into production. Whether you lead a team of data scientists or are one yourself, you know how time-consuming and problematic deployment can be. Language and environment incompatibilities, manual and duplicative processes, out-of-control costs, and poor communication can destroy all the work you’ve put into building models and slow your machine learning efforts. Learning common deployment architectures for machine learning in the real world and understanding how to build your model for a production environment can help you avoid pitfalls when scaling up. Diego Oppenheimer (Algorithmia) discusses common problems and solutions and shares best practices from leading organizations that have solved the deployment headache. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    An architect's guiding principles for leadership (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Architects are leaders. We need to understand our business, our users, and our ecosystem. We need to effectively interact with our stakeholders, productively collaborate with design and product teams, and give direction and motivate our development teams. Achieving these goals requires much more than technical excellence. Seth Dobbs (Bounteous) shares a primer on leadership for architects, focusing on guiding principles that are easy to learn and put into practice. Principles cover both inward focus (personal mastery) and external focus (effective interactions) and include topics such as vision, problem solving, ownership, and conflict. Seth explores material he’s used to train team members ranging from developers and designers up into the executive level but focuses on core guiding principles specific to helping architects be more effective in their roles. Each principle will be presented first with a problem or anti-pattern, then the principle, and then examples of the principle in practice. This approach should be valuable whether you are new in a leadership role and looking to understand the “soft” skills required or have been leading for a while and want to formalize your thinking on leadership. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Amazon Web Services AWS LiveLessons 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: More Than 17 Hours of Video Instruction More than 17 hours of video instruction on Amazon Web Services with coverage on cloud computing and available AWS services, as well as a guided hands-on look at using services such as EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), and more. Overview Amazon Web Services (AWS) LiveLessons is a unique video product designed to provide a solid foundational understanding of the Amazon Web Services (AWS) infrastructure-as-a-service (IaaS) products. The course covers concepts necessary to understand cloud computing platforms, distributed computing, multi-tier architectures, virtual machines, storage, databases, analytics, high availability, and much more. This course has been designed to show just how simple and cost-effective it is to achieve a superior level of high-availability, fault-tolerance, security, and reduced operational burden in your infrastructure and applications. Detailed throughout the course are a number of use cases designed to spark your imagination and exemplify well-architected solutions within the rich and varied ecosystem that is Amazon Web Services. You can also use this video as a secondary resource to help you study for the AWS Cloud Practitioner and Solutions Architect Exams. Since the first edition of this course, AWS has added many new services to their offerings, as well as many new features to existing services. The AWS web-based management console has also seen significant updates and improvements. In this second edition, many of those new services and features are covered, and all new diagrams have been provided to more accurately represent those you will see in a real-world scenario. The new edition also includes all new demos to account for changes in the AWS management console user interface. Amazon Web Services (AWS) LiveLessons contains 14 independent video lessons totaling almost 13 hours of instruction. The videos contain in-depth instruction using live demos, slide instruction, and video captures. Demonstrations of Amazon Web Services and third-party cloud solutions are included to provide necessary context and experience for further study and use of AWS. Skill Level Beginner/All levels Learn How To Get started with AWS, including networking, computing, storage, managing databases, and security Understand cloud-computing platforms, and how AWS fits into them Use EC2, CloudWatch, S3 Buckets, and more Use IAM, VPC, NACLs, AMI, ECS, EKS, EBS, and other various t...
    Note: Online resource; Title from title screen (viewed March 26, 2019)
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    Introduction to SQL Server Query Optimization : Understanding Query Optimization and Built-in Optimization Tools (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484251447
    Language: English
    Pages: 1 online resource (1 video file, approximately 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Begin your journey into query optimization by learning the basics of how SQL Server processes a query from start to finish. Once this foundation is established, you will focus on execution plans: What are they? How do we read them? And what are their more common operations? A variety of statistics options will be introduced that provide insight into query duration and the load that a given query presents on memory and storage resources. With a set of tools defined, you will tackle a variety of common optimization challenges. You’ll review some common problems in which performance is inadequate and then solutions to mitigate those problems and improve performance. These basic patterns will provide a format for viewing and analyzing queries with the goal of being able to identify the source of the problem when a query is running too slow. What You'll Learn Discover how SQL Server optimizes a query and generates an execution plan Enable, read, and decipher execution plans for query analysis Identify a variety of common execution plan operators Use STATISTICS IO to gauge query impact on memory and disk resources Measure query duration using STATISTICS TIME Analyze problem queries to find the source of performance problems Identify common query mistakes and how to quickly resolve them Who This Video Is For Database administrators, developers, or anyone who writes TSQL queries on a regular basis. For all database professionals who need to write efficient code that executes quickly while consuming minimal resources.
    Note: Online resource; Title from title screen (viewed June 28, 2019)
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    Spotlight on Learning from Failure : Assessing Talent Beyond Technical Skills with Tony Tjan (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: One of the most difficult business challenges has nothing to do with data or technology—it has to do with people. While it’s fairly easy to assess potential hires’ knowledge and skills, it’s much harder to gauge soft traits like attitude. How can you ensure your first impressions are accurate so you can avoid costly hiring mistakes, and correctly identify rising stars and make the most of their talent? Tony Tjan explains how overlooking personality and attitude in favor of technical expertise can cost you. Make sure you’re never in that situation by learning the most important questions to ask during the hiring process to build a stronger, more successful organization. Recorded on March 26, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Note: Online resource; Title from title screen (viewed August 27, 2019)
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    Testing in Xcode : Unit Testing, UI Testing, and Code Coverage (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484251928
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn automatic testing in Xcode. Start by creating a simple test app that intentionally crashes in given scenarios. Then review the code to find obvious bad practices and issues. Discover why unit testing is important and perform a simple unit test. Work with test cases before adding functionality. Then increase code coverage and learn why it's important. Finally work with different parts of the app to test specific functionality. What You'll Learn Set up different UI tests for testing different parts of an app Perform simple unit test cases in a project Use test cases before adding functionality to ensure quality apps Who This Video Is For Professional developers or experienced programmers who want to incorporate best practices for testing their apps before publishing them.
    Note: Online resource; Title from title screen (viewed July 8, 2019)
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    Red Hat Certified Engineer (RHCE) EX294 : Red Hat Ansible Automation (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 45 min.)
    Edition: 3rd edition
    Keywords: Electronic videos ; local
    Abstract: The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 10+ Hours of Video Instruction Description Red Hat Certified Engineer (RHCE) EX294 Complete Video Course, 3/e: Red Hat Ansible Automation provides a solid understanding of all the topics required to pass the RHCE exam, including how to perform common automation tasks using Ansible and management of a Linux environment Overview Red Hat Certified Engineer (RHCE) EX294 Complete Video Course, 3/e: Red Hat Ansible Automation is all new and fully updated. This 10-hour video course provides a solid understanding of all the topics required to pass the RHCE exam and includes live demos, exam question walk-throughs and dynamic lightboard teaching. The student learns how to perform common automation tasks using Ansible as well as how to use common Ansible components to automate the management of a Linux environment. RHCE EX294 Complete Video Course covers all facets of the newly-updated RHCE exam. Instructor Sander van Vugt walks you through the topics using demos and labs to test the student's knowledge with real world scenarios. Each video lesson ends with a lab that provides an exercise so you can test your skills. Sander then provides a detailed solution to each lab, explaining how to solve for the exam objectives so you can get the experience you need to pass the test. Audio instruction throughout offers detailed explanations, tips, and configuration verifications. This engaging self-paced video training solution provides learners with more than 10 hours of video instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos, you will gain an in-depth understanding of all topics on the Red Hat Certified Engineer (RHCE) exam, as well as a deeper understanding of Red Hat Enterprise Linux and Ansible. The combination of video, labs, and practice exams provides a unique offering that gives you a full toolkit to learn and excel on your exam. Topics include: Module 1: Introduction to Ansible Module 2: Using Advanced Ansible Solutions Module 3: Managing Systems with Ansible Module 4: Sample Exam About the Instructor Sander van Vugt has been teaching Linux classes sinc...
    Note: Online resource; Title from title screen (viewed September 27, 2019)
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    Spotlight on Learning from Failure : Creating Better Data Pipelines with Natalino Busa (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: When considering the complexities of implementing a next-generation data pipeline, the risk of over-promising and under-delivering is incredibly high due to the overwhelming expectations placed on predictive analytics today. It’s critical to look at a number of factors—like your company’s culture and the historic promise gap between ETL (extract, transform, load) in the 1970s and AI (artificial intelligence) in the 2010s—to overcome the challenges and succeed. Natalino Busa discusses how to bust the myths, deconstruct the false assumptions, and avoid common pitfalls in order to build and deliver successful data pipelines that deliver real value to your organization. Recorded on February 26, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Note: Online resource; Title from title screen (viewed August 27, 2019)
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    Pragmatic AI and Machine Learning Core Principles (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Machine Learning is the scientific study of models and algorithms that train a computer to make predictions without explicit instruction. Machine Learning is a subset of Artificial Intelligence, which can be defined as computers that mimic human problem-solving. This video demonstrates the core principles of Machine Learning and AI, including supervised Machine Learning, unsupervised Machine Learning, neural networks, and social network theory. Learn to master the foundational concepts of AI and Machine Learning. The LiveLessons video starts with an overview of Artificial Intelligence and covers applications of AI across industries and opportunities in AI for individuals, organizations, and ecosystems. It also covers the difference between narrow, general, and super AI. Description Shore up the foundational knowledge necessary to work with Artificial Intelligence and Machine Learning! This LiveLesson video covers the core principles of Artificial Intelligence and Machine Learning, including how to frame a problem in terms of Machine Learning and how Machine Learning is different than statistics. Learn about fundamental concepts including nearest neighbors, decision trees, and neural networks. The video wraps up covering timely machine learning topics such as cluster analysis, dimensionality reduction, and social networks. Access the code repository for this LiveLesson at https://github.com/noahgift/fundamentals_ai_ml . About the Instructor Noah Gift is lecturer and consultant at UC Davis Graduate School of Management MSBA program the Graduate Data Science program, MSDS, at Northwestern, the Graduate Data Science program at UC Berkeley. He is teaching and designing graduate Machine Learning, AI, Data Science courses and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect and AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, and Microsoft MTA on Python. Noah was selected to the SME Machine Learning team due to accomplishments in the area of Machine Learning on the AWS platform. He has published more than 100 technical publications, including several books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA fro...
    Note: Online resource; Title from title screen (viewed September 5, 2019)
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    Red Hat OpenShift Fundamentals, 3/e (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 3+ Hours of Video Instruction In more than 3 hours of video instruction, Red Hat OpenShift Fundamentals LiveLessons viewers will learn how to administer Red Hat OpenShift to manage containers in an enterprise environment and to integrate them in a DevOps environment. Overview In more than 3 hours of video instruction, Red Hat OpenShift Fundamentals LiveLessons viewers will learn how to administer Red Hat OpenShift to manage containers in an enterprise environment and to integrate them in a DevOps environment. Red Hat OpenShift Fundamentals LiveLessons provides an introduction to working with containers in an OpenShift environment, and covers all core aspects of working with containers in OpenShift. OpenShift is an increasingly popular platform that helps you more easily deploy applications in an enterprise environment. The platform helps developers to seamlessly roll out an application in the form of a completely operational container. At the same time, it allows administrators to manage the application life cycle in a flexible way, where applications can be monitored for availability, and easily scaled up and down if the workload requires it. Learn how to get started with OpenShift in six lessons. In the first lesson, you'll learn how OpenShift can help you. An explanation of what OpenShift is, and how it relates to the Kubernetes platform is provided. The second lesson discusses how to get started with OpenShift, and different installation scenarios are demonstrated. Lesson 3 shows how to deploy applications in OpenShift, and Lesson 4 will explain software-defined networking, as implemented in OpenShift. Lesson 5 discusses more advanced features, such as pod scaling and node placement; and Lesson 6 shows how to connect containers in OpenShift to storage. With a combination of white-board instruction, demonstrations, and CLI learning, Sander van Vugt demystifies OpenShift. Skill Level Beginner/Intermediate Learn How To Understand when and how to use OpenShift depending on your environment Install the various versions of OpenShift Create applications from the web console Creating resources using the oc command line utility Use source-to-image to automatically build containers from the source code Use software-defined networking and using SDN in OpenShift Work with applications, including scaling Handle pod scheduling Manage images, image streams, and OpenShift templates Set up OpenShift storage Who Should Take This Course IT professionals that...
    Note: Online resource; Title from title screen (viewed April 17, 2019)
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    Perfect 3 Days Linux Course (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838983055
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Linux administration and command line About This Video Get to grips with fundamental Linux concepts Explore useful examples and smart tips throughout the course Benefit from the course’s easy-to-follow three-day learning schedule In Detail This course is designed to help you quickly get started with learning Linux. As you build on your knowledge, you’ll be able to confidently carry out Linux installation and even manage the Linux server by running commands. By spending only a few hours every day for three days, you’ll cover essential Linux concepts including the following: Day 1 – Installation, Configuration, File System and Basic Commands Day 2 – Linux System Administration Day 3 – Advanced Linux System Administration Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/Asif-packt/Perfect-3-Days-Linux-Course . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed May 31, 2019)
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    Machine Learning Fundamentals with Amazon SageMaker on AWS (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Note: Online resource; Title from title screen (viewed September 23, 2019)
    URL: lizenzpflichtig
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