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  • Safari, an O’Reilly Media Company  (373)
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  • 1
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838823009
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 6 hr., 13 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title screen (viewed April 22, 2019)
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  • 2
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484248836
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 2 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed April 13, 2019)
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  • 3
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484252765
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 8 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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).
    Anmerkung: Online resource; Title from title screen (viewed August 1, 2019)
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  • 4
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 6 hr., 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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  • 5
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 6 hr., 44 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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  • 6
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed April 18, 2019)
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  • 7
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838551520
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 37 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title screen (viewed April 22, 2019)
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  • 8
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 58 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed August 27, 2019)
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  • 9
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 57 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed September 17, 2019)
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  • 10
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 58 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed September 17, 2019)
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  • 11
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed September 17, 2019)
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  • 12
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Prentice Hall | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 44 hr., 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: 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 ...
    Anmerkung: Online resource; Title from title screen (viewed August 26, 2019)
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  • 13
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 61 hr., 11 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed June 12, 2019)
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  • 14
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484251515
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 38 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed June 27, 2019)
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  • 15
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 5 hr., 46 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed September 23, 2019)
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  • 16
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 7 hr., 18 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 6+ Hours of Video Instruction Learn the main concepts and techniques used in modern machine learning through numerous examples written in scikit-learn Overview Machine Learning with scikit-learn LiveLessons is your guide to the scikit-learn library, which provides a wide range of algorithms in machine learning that are unified under a common and intuitive Python API. Most of the dozens of classes provided for various kinds of models share the large majority of the same calling interface. Quite often you can easily substitute one algorithm for another with very little or no change in your underlying code. This enables you to explore the problem space quickly and often to arrive at an optimal–or at least satisficing–approach to your problem domain or datasets. The scikit-learn library is built on the foundations of the numeric Python stack. It uses NumPy for its fundamental data structures and optimized performance, and it plays well with pandas and matplotlib. It is free software under a BSD license. The great bulk of machine learning programming in Python is done with scikit-learn—at least outside the specialized domain of deep neural networks. About the Instructor David Mertz has been involved with the Python community for 20 years, with data science, (under various previous names) and with machine learning since way back when it was more likely to be called “artificial intelligence.” He was a director of the Python Software Foundation for six years and continues to serve on, or chair, a variety of PSF working groups. He has also written quite a bit about Python: the column Charming Python for IBM developerWorks, for many years; Text Processing in Python (Addison-Wesley, 2003); and two short books for O’Reilly. He created the data science training program for Anaconda, Inc., and was a senior trainer for them. Skill Level Intermediate Learn How To Use various machine learning techniques Explore a dataset Perform various types of classification Use regression, clustering, and hyperparameters Use feature engineering and feature selection Implement data pipelines Develop robust train/test splits Who Should Take This Course Programmers and statisticians interested in using Python and the scikit-learn library to implement machine learning Course Requirements Programming experience Table of Contents Introduction Lesson 1: What Is Machine Learning? Lesson 2: Exploring a Dataset Lesson 3: Classification Lesson 4: Regression Less...
    Anmerkung: Online resource; Title from title screen (viewed January 1, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 52 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed August 28, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 8 hr., 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 12+ Hours of Video Instruction Overview Even though the CCNA certification is an associate level program, exam candidates are expected to have a basic knowledge of IP addressing, knowledge of networking fundamentals, and some experience deploying and managing Cisco solutions. CCNA 200-301 Foundations LiveLessons provides you with the pre-requisite knowledge needed to begin your CCNA exam preparation. Assuming no previous knowledge, this comprehensive networking fundamentals course covers the theory and operation of multiple networking technologies, all designed to lay a strong foundation for your CCNA studies and beyond. About the Instructor Kevin Wallace, CCIEx2 (Route/Switch and Collaboration) #7945 With Cisco experience dating back to 1989, Kevin has been a Network Design Specialist for the Walt Disney World Resort, a Network Manager at Eastern Kentucky University, an instructor for Cisco Learning Partners, an author of multiple Cisco Press books, and a Distinguished Speaker at Cisco Live. Currently, Kevin owns and operates Kevin Wallace Training, LLC (kwtrain.com), a provider of self-paced training materials that simplify computer networking. Skill Level Beginner Learn How To In this course, you’ll learn the fundamentals of networking, to get you prepared to begin your Cisco CCNA studies. Specifically, you’ll learn the basics of the following topics: protocols and reference models, network devices, network topologies, network services, WAN technologies, cables and connectors, Ethernet switches, wireless networking, network addressing, routing, unified communications, cloud and virtualization, network security, network monitoring and management, high availability, and quality of service. Who Should Take This Course This course is designed for anyone wanting to work towards their Cisco CCNA certification that has less than two years of networking experience. Course Requirements Since this is an introductory level course, there are no prerequisites. Lesson descriptions Protocols and Reference Models: In this lesson, you’ll learn about commonly used network protocols and how they fit into the OSI Model. Network Devices: In this lesson, you’ll learn about the operation of network devices such as routers, switches, and firewalls. Network Topologies and Categories: In this lesson, you’ll learn about ways to categorize networks based on size and where resources are located. Network Services: In this lesson, you’ll learn about network services suc...
    Anmerkung: Online resource; Title from title screen (viewed August 29, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 28 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed August 8, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484253823
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 48 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed September 27, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838983383
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 11 hr., 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: Comprehensive, hands-on AWS Big Data Certification prep, including a practice exam! About This Video Explore Kinesis, EMR, DynamoDB, Redshift, and more Get well-versed with the core concepts necessary to work with AWS big data In Detail The AWS Certified Big Data Specialty exam is one of the most challenging certification exams you can take from Amazon. Achieving this certification validates your knowledge of big data systems. But even experienced technologists need to prepare heavily for this exam. This course sets you up for success by taking you through all the big data technologies covered in the exam and explaining how they fit together. Best-selling instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course yet. Together, they've taught over 300,000 people around the world. This course combines Stéphane's knowledge of AWS with Frank's experience in big data, gleaned during his 9-year career at Amazon. Both Frank and Stéphane have passed the exam themselves on the first try. The world of big data on AWS includes a dizzying array of technologies and services. This course covers the following topics in depth: Streaming massive data with AWS Kinesis Queuing messages with Simple Queue Service (SQS) Wrangling explosion data from the Internet of Things (IoT) Transitioning from small to big data with the AWS Database Migration Service (DMS) Storing massive data lakes with the Simple Storage Service (S3) Optimizing transactional queries with DynamoDB Applying neural networks at massive scale with Deep Learning, MXNet, and TensorFlow Applying advanced machine learning algorithms at scale with Amazon SageMaker Analyzing streaming data in real time with Kinesis Analytics Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service Querying S3 data lakes with Amazon Athena Hosting large-scale data warehouses with Redshift and Redshift Spectrum Integrating smaller data with your big data using the Relational Database Service (RDS) and Aurora Visualizing your data interactively with Quicksight Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more Big data is an advanced certification, and it's best suited for anyone who has already obtained associate-level certification in AWS and has some data analytics experience. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: http...
    Anmerkung: Online resource; Title from title screen (viewed May 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: A unique keynote speech by Yangqing Jia, the leader of Alibaba’s AI and Big Data organization. A revealing talk by Ion Stoica (UC Berkeley) describing some the AI projects underway at UC Berekely's renowned RISELab. A thoughtful presentation by Long Wang, VP of TenCent Cloud, illustrating what TenCent believes AI will do for the cloud. These are just three of the illuminating talks given by the many AI experts from China, the U.S., and elsewhere who gathered to speak at O'Reilly Media's Artificial Intelligence Conference Beijing June 2019. This video compilation gives you the opportunity to see all of the best presentations from AI Beijing—it contains more than 60 hours of material to review on your schedule. AI Beijing's unique focus is applied AI—bridging the gap between AI developments in research and their commercial applications in business and industry. If you want to understand how AI will change the business landscape, or are working with deep learning or AI (or plan to be)— this video compilation is for you. Highlights include: Complete video recordings from the best of AI Beijing June 2019—this video compilation contains hours of material to review at your own schedule. 55% of the presentations are in English, 42% are in Chinese, and 3% are in English and Chinese. Keynote speeches by AI thought leaders such as Maria Zhang (LinkedIn), Pete Warden (Google Brain Team), Michael James (Cerebras), Hao Zheng (PlusAI), and Tim Kraska (MIT). Tutorials in Chinese, including Intels' Zhen Zhao's exploration into the OpenVINO toolkit and Microsoft's Henry Zeng, Lu Zhang, and Xiao Zhang's introduction to automated machine learning using Python and AutoML. Tutorials in English, such as Alejandro Saucedo's (The Institute for Ethical AI & Machine Learning) practical guide to de-mystifying machine learning bias and Richard Liaw (UC Berkeley RISELab) on how to build reinforcement learning models and AI applications with Ray. "Implementing AI" sessions presented in Chinese, such as Zhenxiao Luo (Uber) on how to run big data and machine learning systems at scale; Hui Xue (Microsoft) on the latest automated machine learning advances at Microsoft Research Asia; and Guoqiong Song (Intel) and Luyang Wang (Office Depot) on how Home Depot's real-time recommendation system was built using Analytics Zoo on BigDL and Apache Spark "Implementing AI sessions" delivered in English, including Google's Kaz Sato's examination of ML operations and Kubeflow pipelines; Rak...
    Anmerkung: Online resource; Title from title screen (viewed June 28, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Automated machine learning (AutoML) enables both data scientists and domain experts (with limited machine learning training) to be productive and efficient. In recent years, AutoML has fostered a fundamental shift in how organizations approach machine learning, making it more accessible to both experts and nonexperts. Most real-world data science projects are time-consuming, resource intensive, and challenging. Besides data preparation, data cleaning, and feature engineering, data scientists often spend a significant amount of time on model selection and tuning of hyperparameters. Automated machine learning changes that, making it easier to build and use machine learning models in the real world. Francesca Lazzeri and Wee Hyong Tok (Microsoft) lead a gentle introduction to how AutoML works and the state-of-art AutoML capabilities that are available. You’ll learn how to use AutoML to automate selection of machine learning models and automate tuning of hyperparameters. Topics include: An introduction to AutoML How AutoML works The libraries and cloud services that support AutoML An energy demand forecasting use case How to get started with automated machine learning This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 8 hr., 37 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Audiobooks ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title screen (viewed July 18, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 122 hr., 4 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed March 27, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 53 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Blockchain: there’s a lot of excitement around this technology that decentralizes data, and even more opportunity. Ultimately, a business and social strategy that integrates blockchain can have a major impact on your organization, making it more efficient and increasing transparency. Recorded on January 9, 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.
    Anmerkung: Online resource; Title from title screen (viewed August 1, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 56 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed July 30, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 46 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838824921
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 hr., 11 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title screen (viewed April 30, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: These days, you can’t swing a dry-erase marker without hitting someone talking about microservices. Developers are studying Eric Evans’s prescient book Domain-Driven Design . Teams are refactoring monolithic apps, looking for bounded contexts, and defining a ubiquitous language. And while there have been countless articles, videos, and talks to help you convert to microservices, few have spent any appreciable time asking if a given application should be a microservice. Nathaniel Schutta (Pivotal) shows you a set of factors you can apply to help you decide if something deserves to be a microservice or not. You’ll also look at what you need to do to maintain a healthy micro(services)biome. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 41 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Neural architecture search (NAS) is a promising research direction that has the potential to replace expert-designed networks with learned, task-specific architectures. Ameet Talwalkar (Carnegie Mellon University Determined AI) shares work that aims to help ground the empirical results in this field and proposes new NAS baselines that build off the following observations: NAS is a specialized hyperparameter optimization problem, and random search is a competitive baseline for hyperparameter optimization. Leveraging these observations, Ameet evaluates both random search with early-stopping and a novel random search with a weight-sharing algorithm on two standard NAS benchmarks: PTB and CIFAR-10. Results show that random search with early-stopping is a competitive NAS baseline that performs at least as well as ENAS, a leading NAS method, on both benchmarks. Additionally, random search with weight-sharing outperforms random search with early-stopping, achieving a state-of-the-art NAS result on PTB and a highly competitive result on CIFAR-10. Ameet concludes by exploring existing reproducibility issues for published NAS results, noting the lack of source material needed to exactly reproduce these results, and discussing the robustness of published results given the various sources of variability in NAS experimental setups. All information (code, random seeds, documentation) needed to exactly reproduce our results will be shared, along with random search with weight-sharing results for each benchmark on two independent experimental runs. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 6 hr., 39 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed April 2, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 46 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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. Open source TensorFlow 2.0 is driving the machine learning (ML) revolution around the globe. The TensorFlow World Conference Santa Clara 2019—the first international conference devoted to TensorFlow—provided the thousands who attended the conference with an extraordinary opportunity to see TensorFlow 2.0 in action, discover new ways to use it, and learn how to successfully implement it in their own enterprises. This video compilation offers you the chance to experience the TensorFlow World Conference yourself. If you get it and explore it, you’ll come away with a firm understanding of the entire machine learning stack, TensorFlow 2.0, and the reasons why companies like Spotify, LinkedIn, Amazon, Twitter, and Uber use TensorFlow to solve complex business problems. Highlights include: A front row view for all of the best keynotes, tutorials, and technical sessions from the TensorFlow World Conference Santa Clara 2019. Complete presentations from some of the world’s top TensorFlow practitioners, including talks by the people and teams who developed TensorFlow. Keynote addresses from TensorFlow’s leaders, such as Google Brain co-founder Jeff Dean; Theodore Summe, the head of product for Cortex, Twitter’s central ML organization; and Megan Kacholia, VP of Engineering for Google Research. Deep-dive tutorials, including Laurence Moroney’s (Google Brain) primer on ML with TensorFlow; Sandeep Gupta’s (Google) review of ML in JavaScript using TensorFlow.js; and Neelima Mukiri’s (Cisco) intro to model building and optimization for TensorFlow in any Kubernetes environment. Applications sessions focusing on real-world TensorFlow implementations, like Asif Hasan’s (Quantiphi) talk on using ML to both predict cancer recurrence and recommend treatment; Bhushan Jagyasi’s (Accenture) survey of TensorFlow successes in banking and insurance; and Hamel Husain’s (GitHub) review of automating developer workflows on GitHub with TensorFlow. Core Technologies sessions, where you’ll hear directly from TensorFlow team members such as Paige Bailey (Google) on TensorFlow Swift, a next-generation ML platform; Raziel Alverez (Google) on TensorFlow model optimization techniques; and Robby Neale (Google) on how to build models with tf.text. Accelerators sessions, including Victoria Rege (Graphcore) on h...
    Anmerkung: Online resource; Title from title screen (viewed November 1, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 37 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed October 16, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: “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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 40 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 6 hr., 49 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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. 6+ Hours of Video Instruction Description Learn the main concepts and techniques used in modern machine learning and deep neural networks through numerous examples written in PyTorch. Overview This course begins with the basic concepts of machine and deep learning. Subsequently, you gain a reasonable familiarity with the main features of PyTorch and learn how it can be applied to some popular problem domains. About the Instructor David Mertz has been involved with the Python community for 20 years, with data science (under various earlier names), and with machine learning (since way back when it was more likely to be called “artificial intelligence”). He was a director of the Python Software Foundation for six years and continues to serve on, or chair, a variety of PSF working groups. He has also written quite a bit about Python: the column “Charming Python” for IBM developerWorks, for many years; the book Text Processing in Python (Addison-Wesley, 2003); and two short books for O’Reilly. He created the data science training program for Anaconda, Inc., and was a senior trainer for them. Skill Level Intermediate Learn How To Apply various machine and deep learning techniques Understand the difference between various machine and deep learning libraries Create classifiers Enhance an existing classifier Who Should Take This Course Programmers and statisticians interested in using Python and the PyTorch library to implement machine learning Course Requirements Programming experience Lesson Descriptions Lesson 1: What Is Machine Learning? What Is Deep Learning The first lesson begins with a high-level overview of the course. It then presents general concepts in machine learning and concepts specifically relevant to neural networks and deep learning. Ideas every data scientist should understand are discussed. The main libraries available for machine learning, and for deep learning specifically, are presented with an eye toward their comparison to PyTorch. The lesson contains an overview of basic concepts in neural networks. Also discussed is the basic idea of a perceptron and the enormous expansion of simple models with hardware that has b...
    Anmerkung: Online resource; Title from title screen (viewed November 11, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Asset managers of all stripes are ramping up their data science capabilities. Andrew Chin and Celia Chen (AllianceBernstein) offer an overview of data science applications within the asset management industry, covering case studies spanning different functions within an asset management organization. Along the way, they look at an investment research project that used a new “big dataset” as well as a machine algorithm to create a more powerful prediction model and detail a machine learning model they developed to understand their clients better. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255148
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Learn about the family of products that make up the MariaDB ecosystem so that you can make the correct choices in applying MariaDB to your own business problems. This video introduces the full suite of scalability and availability features that combine to make MariaDB a compelling option to large enterprises such as major financial institutions and some of the world’s largest ecommerce operations. Watch this video to learn about MaxScale, MariaBackup, ColumnStore, ClustrixDB, the MariaDB Platform Managed Service, and associated connectors and data adapters. Learn what each of these products can do for you, and the real-world problems they solve. This video begins by introducing the database server that forms the core of MariaDB’s offering. From there you’ll learn about MariaBackup to support backup and recovery, then about MaxScale and Galera Cluster in support of high throughput and scalability. You’ll learn about ColumnStore and how it supports analytics processing and column-oriented workloads for business intelligence applications, and about MariaDB’s managed service offering in the cloud. Finally, there is the extreme scalability of ClustrixDB and how it enables gaming, social media, IoT, and other extreme workloads. What You Will Learn Get the big picture of the MariaDB family of products Choose the right products with confidence for your application Apply scalability options appropriate to your specific needs Automate backup and recovery through MariaBackup Support business intelligence through columnar storage Unlock extreme scaling using ClustrixDB Who This Video Is For Database users or administrators who are comfortable with MariaDB or MySQL in particular, or with relational databases in general, who want to learn the full range of products available from MariaDB to unlock enterprise-grade performance and scalability.
    Anmerkung: Online resource; Title from title screen (viewed October 28, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 34 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Although an outage is a terrifying prospect, you should embrace it as an opportunity. Failure can expand and improve your understanding of your systems. Three years ago, Indeed suffered one of the worst outages in its history. No single fault or failure caused this outage. Rather, it was a complex interaction of bugs, design decisions, capacity loss, and poor situational awareness during incident response. Indeed learned valuable lessons from this event. It identified ways to make the systems more resilient and improved the approach to the incident lifecycle within the engineering culture. Alex Elman uses the narrative of this incident to demonstrate how a site-wide outage can inform increased resilience and reduced operational complexity. Learning from failure is a feedback loop rather than a one-off process. He applies Indeed’s outage as a practical example of what an iteration of this loop can look like. He shares with other SREs the success that has risen from this failure. Indeed hasn’t had a global site outage in the three years since this event. Alex begins with a discussion of failure to set the stage for delivering the incident background, then discusses incident response and situational awareness. He explains conducting incident postmortems and learning from failure and designing for reliability, including resilience patterns such as circuit breaking and graceful degradation. Finally, he gets into resilience testing, running chaos tests, and closing the feedback loop, leaving some time for a question and answer session. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 hr., 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The companion videos for Learning Amazon Web Services (AWS) , the The Practical, Foundational Technical Introduction to the World’s #1 Cloud Platform Learning Amazon Web Services (AWS) is the perfect foundational resource for all administrators, developers, project managers, and other IT professionals who want to plan and deploy AWS services and/or earn AWS certification. Top cloud trainer and evangelist Mark Wilkins teaches best practices that align with Amazon’s Well-Architected Framework, introduces key concepts in the context of a running case study, carefully explains how core AWS services operate and integrate, and offers extensively tested tips for maximizing flexibility, security, and value. Companion online videos guide you step-by-step through setting AWS compute, storage, networking, scale, security, automation, and more. Balance cost, compliance, and latency in your service designs Choose the right networking options for your virtual private cloud (VPC) Build, host, launch, manage, and budget for EC2 compute services Plan for scale and resiliency, and make informed decisions about AWS storage Enforce strict security, and automate to improve operational efficiency
    Anmerkung: Online resource; Title from title screen (viewed August 3, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 59 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed October 22, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Games are wonderful contained problem spaces, making them great places to explore AI—even if you’re not a game developer. Paris Buttfield-Addison (Secret Lab Pty. Ltd.), Mars Geldard (University of Tasmania), and Tim Nugent (lonely.coffee) teach you how to use Unity to train, explore, and manipulate intelligent agents that learn. You’ll train a quadruped to walk, then train it to explore, fetch, and manipulate the world. It’s a little bit technical, a little bit creative. Join Paris, Mars, and Tim to learn how to use game technologies such as Unity to further your understanding of machine learning fundamentals and solve problems. Topics include: How video game engines are a perfect environment to constrain a problem and train an agent How easy it is to get started, using Unity How to build up a model and use it in the engine to explore a particular idea or problem This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    ISBN: 9780135971673 , 0135971675
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 6 hr., 32 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title screen (viewed October 9, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 50 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 47
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 48
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: As microservices, data services, and serverless APIs proliferate in a cloud native world, analysts still need to report on the business as a whole. Data engineers need to collect and standardize data in an increasingly complex and diverse system. Luckily, the problem is also the solution. The way to manage data in a cloud native environment is to build cloud native data pipelines. Gwen Shapira (Confluent) discusses how data engineering requirements have changed in a cloud native world and how the solutions have changed with them. She then shares architectural patterns that are commonly used to build cloud native data infrastructure and explains how they help you build flexible, scalable, and reliable pipelines to give your business visibility on all your data. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 49
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 50
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484253106
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 6 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Create a basic application flow with SwiftUI involving login and a user dashboard interface in this video. Discover the new file structure introduced by SwiftUI and how it uses structs instead of classes for Views. Then learn about common layout elements such as Text, Images, HStack, VStack, ZStack, and NavigationViews. After understanding the structure and elements, dive in to create a login layout and a user authentication backend. Then once you've got your user logged in, create a dashboard layout for your users with SwiftUI. Finally learn to troubleshoot and polish up your new interfaces. What You Will Learn Create login and dashboard interfaces Troubleshoot common SwiftUI interface issues Incorporate NodeJS for authentication and backend work Who This Video Is For iOS developers with a basic familiarity of the Swift language who would like to use SwiftUI to design easy, elegant, and powerful interfaces.
    Anmerkung: Online resource; Title from title screen (viewed August 19, 2019)
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  • 51
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 14 hr., 46 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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 ...
    Anmerkung: Online resource; Title from title screen (viewed January 9, 2019)
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  • 52
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 75 hr., 47 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Why did companies like Intuit, JP Morgan Chase, MasterCard, and BuzzFeed deploy AI and what business advantages have they already reaped from those deployments? How have the toolsets recently developed at Google (BERT) and Microsoft (Project Brainwave) opened up AI as a mainstream business reality? How does IBM's AI Fairness 360 toolkit combat the very real problem of unwanted bias in AI applications? You'll find the answers to these questions and many more in this video compilation of the best talks from AI New York 2019. Containing hours of material to explore at your own pace, this video compilation provides an insider's view of the latest developments in AI. Highlights include:M/p〉 Complete video recordings of the talks delivered at AI NY 2019 by 170 of the world's top AI experts. Keynote addresses from AI's best thinkers, such as MIT's Aleksander Madry, Intuit's Desiree Gosby, Princeton University's Olga Troyanskaya, Netflix's Tony Jebara, Stanford University's Christopher Ré, Facebook's Kim Hazelwood, Carnegie Mellon University's Martial Hebert, and Primer's Sean Gourley, plus a look at Dell's "Sophia", the world’s first robot citizen. All of the Executive Briefings and detailed case studies from the exclusive AI Business Summit, including Kristian Hammond's (Northwestern Computer Science) day long tutorial offering a practical framework for bringing AI into your company; Adam Cheyer's (Samsung) look at how AI enables a totally new form of software development where humans and machines work collaboratively together; and Jennifer Fernick's (NCC Group) learned predictions of the industries that will benefit from the coming intersection of quantum computing, machine learning, and AI. Tutorials by AI's most experienced practitioners, including Gunnar Carlsson (Stanford University) on using topological data analysis to understand, build, and improve neural networks; Bruno Goncalves (JPMorgan Chase) on using recurrent neural networks for time series analysis; and Mo Patel (Independent) on how to build machine learning models in PyTorch. Sessions focused on machine learning, including Alina Matyukhina's (Canadian Institute for Cybersecurity) reveal of the methods dishonest actors use ML to mimic the coding style of software developers in open source projects; Chakri Cherukuri's (Bloomberg LP) discussion of how to apply machine learning and deep learning techniques in quantitative finance; and Cibele Montez Halasz's (Twitter) description of time...
    Anmerkung: Online resource; Title from title screen (viewed April 17, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 45 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 54
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484249932
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 41 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed May 21, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 26 hr., 15 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: 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 ...
    Anmerkung: Online resource; Title from title screen (viewed April 2, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484251928
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 23 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed July 8, 2019)
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  • 57
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484239803
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed May 21, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 59 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed August 27, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 7 hr., 45 min.)
    Ausgabe: 3rd edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed September 27, 2019)
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838983055
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 7 hr., 1 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title screen (viewed May 31, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789612684
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 34 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Build beautiful, modern, and modularized UIs with React’s latest version About This Video Understand the core concepts involved in thinking and structuring code in React. Jump straight into any React project. Use tools and resources to accomplish your goals. In Detail Want to make the process of building modular, reusable user interface components simple and intuitive? React.js is the answer, with its Learn Once, Write Anywhere approach. This course will help you understand the power behind this approach and build beautiful, modern, and modularized UIs with React’s latest version. This course will cover all of the React.js basics such as its API, which will help you create elements and components; the virtual DOM and the JSX syntax extension; using state; working with browser events; and component lifecycle methods. You will build an application from scratch throughout the course and use the knowledge you've gained in a practical way. You will also learn to update various elements of a site or application seamlessly without delay, without disrupting the rest of the display or requiring the user to refresh. Also, get introduced to the new concept of hooks.. Finally, you will work with a server API to persist data using local storage.(Note that we use Node.js 10.13.0 for this course, which will run successfully with the React features we cover.) By the end of the course, you will be fully capable of using ReactJ.js tools to build several UI elements, making them reactive to user input, and extending your knowledge of DOM manipulation to customize your own UIs in the future. 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/Learning-React . If you require support please email: customercarepackt.com
    Anmerkung: Online resource; Title from title screen (viewed April 30, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484251447
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 48 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed June 28, 2019)
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    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    ISBN: 9780135305331 , 0135305330
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 34 hr., 4 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Kurzfassung: 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. 21+ Hours of Video Instruction Overview CompTIA A+ Core 1 (220-1001) Complete Video Course is a unique video product that provides a solid understanding of A+ skills. The purpose of these videos is to act as quick, concise, hands-on training that is easily absorbed. In this best-selling author and instructor-led course you will get coverage of every objective and topic in the CompTIA A+ Core 1 (220-1001) exam. It is also full of hands-on demos so you can see real hardware and software presentations. David Prowse walks you through the details you need to not only pass the test, but troubleshoot and fix real hardware, software, and network problems for your career. The author also includes Tech Tips throughout to give you insider info on troubleshooting, repair, and maintenance. This title can be used as your sole resource for learning the material needed to study for and pass the test. You can also use this as a supplement to other A+ training. Five domains map to the main objectives of the CompTIA A+ Core 1 (220-1001) exam. These domains contain 37 lessons with video totaling more than 21 hours of hands-on demonstrations, audio instruction, animations, whiteboard training, and video screencasting. The videos also include the author building a computer live on camera so you can see first-hand how to accomplish this key task. He also includes hands-on configuration labs; laptop, smartphone, and device hardware labs; and live-action troubleshooting labs. The 37 video lessons are broken down into five domains and cover the following topics: Mobile Devices Networking Hardware Virtualization and Cloud Computing Hardware and Network Troubleshooting Topics include Domain 1: Mobile Devices Domain 2: Networking Domain 3: Hardware Domain 4: Virtualization and Cloud Computing Domain 5: Hardware and Network Troubleshooting Skill Level Beginner You Will Learn All the objectives in the CompTIA A+ Core 1 (220-1001) exam Test-taking techniques with interactive practice quizzes, performance-based simulations, and hands-on exercises How to build a computer, perform networking tasks, configure laptops and mobile devices, and perform troubleshooting ta...
    Anmerkung: Online resource; Title from title screen (viewed June 24, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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 ...
    Anmerkung: Online resource; Title from title screen (viewed June 28, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 36 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 45 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 41 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Over the past decade, Denise Gosnell (DataStax) has helped build some of the largest production applications of graph databases around the world. From those experiences, she’s collected a set of common areas in which teams frequently misstep when getting started with graph technology. It also happens that those themes parallel the experience of playing one of her favorite games, SimCity 2000. Denise walks you through a few of these topics. Know the rules. The introduction of graph data into your application introduces a new paradigm of data modeling: relationship-first design instead of entity-first design. The transition to relationship-first design principles introduces a new set of rules to consider for understanding your application’s performance, just like learning the rules of building a successful metropolis in SimCity . In this section, you’ll dive into the computational overhead introduced into your system from the branching factor and selectivity of your graph traversals. Things can quickly become catastrophic. Relationship-first data modeling can create a sleeping time bomb in your graph data: namely, supernodes. Just like in SimCity , high volumes of progress without proper planning will eventually introduce a catastrophe. To plan for this, you will need to track, mitigate, and eliminate the potential for supernodes within your applications. In this section, Denise introduces supernodes and presents tangible plans for avoiding the disasters which they can create. You’re going to make mistakes. Just like the learning process for understanding the tools and rules for building a successful city, you’ll inevitably make some mistakes when starting down the path of integrating graph technology into your stack. These common mistakes often start out as red herrings that are misinterpreted as graph problems. In this section, you’ll explore three use cases that are frequently misinterpreted as graph problems and learn techniques for avoiding these traps. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 56 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed August 1, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 59 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Artificial intelligence can be intimidating. There are complex, sticky challenges of data collection and verification, algorithms and bias, and deploying AI services to production, plus ever-expanding ethical concerns. New trends in hardware, algorithms, tools, and data ecosystems are quickly transforming AI into a must-have for today’s organizations. Progress is accelerating, but so are obstacles; a successful, real-world implementation of AI depends on balancing many interdependent concerns. Recorded on March 13, 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.
    Anmerkung: Online resource; Title from title screen (viewed August 1, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: If you’re considering Kubernetes, you’ve probably thought about the potential time and cost savings you could stand to gain. At Gannett and USA TODAY, migrating to Kubernetes cut their daily infrastructure spend in half and reduced their network failover time from almost four hours to about 10 minutes. These are huge savings for any company. That said, there were a number of costs to migrating that they didn't anticipate. Gannett’s migration to Kubernetes had a ripple effect through its entire stack—from its CI pipelines to its approach to monitoring and even employee happiness. In this case study, Bridget Lane, Gannett’s manager of developer solutions, details the problems her team faced while migrating and explain how they dealt with them. Recorded on September 19, 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.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: As acute shortages for data scientists and engineers further develop in competitive talent markets, it’s imperative to address biases and bottlenecks in the hiring of data scientists and engineers. Most companies approach hiring and talent management as an art, relying on judgment and experience when conceptualizing jobs, drafting JDs, and screening and assessing candidates. Maryam Jahanshahi (TapRecruit) explains how often-innocuous recruiting decisions have dramatic impacts on hiring outcomes, from the success of a hiring process to the candidate pool composition and the amount of time it takes to hire. She then discusses how using data-driven approaches provide an arbitrage opportunity that has significant impact on both the quality and diversity of candidate pools for data science and engineering roles. Maryam covers the role of confounders in the hiring process, explores the complexity of job descriptions, and shares how she extracted signal from noise to extract the key conclusions she presents. She then presents key hiring heuristics in three vignettes: the one word that creates significant ripple effects at every stage of the hiring process; the surprising way that startups do better in the talent war for data scientists and engineers; and hacking diversity, or how she and her team learned to reproducibly and robustly recruit a diverse pool of data scientists and engineers. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 51 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Security is an ever more important topic for system designers. As our world becomes digital, today’s safely hidden back office system is tomorrow’s public API, open to anyone on the internet with a hacking tool and time on their hands. So the days of hoping that security is someone else’s problem are over. The security community has developed a well-understood set of principles used to build systems that are secure (or at least securable) by design, but this topic often isn’t included in the training of software developers, who assume that it’s only relevant to security specialists. Even when principles are explained, they’re often shrouded in the jargon of the security engineering community, and so mainstream developers struggle to understand and apply them. Eoin Woods (Endava) explains why secure design matters and then introduces a set of 10 of the most important proven principles for designing secure systems, distilled from the wisdom of the security engineering community. He discusses each principle in the context of mainstream system design, rather than in the specialized language of security engineering, focusing on how it’s applied in practice to improve security. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781787282766
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Develop complex and maintainable web applications using Redux About This Video Combine the power of Redux with popular JavaScript libraries to make consistent web applications Explore various advanced techniques with this recipe-based guide to find a solution to numerous common problems you might come across while using Redux Learn to structure and maintain your web application with predictable state containers In Detail State management is absolutely critical in providing users with a well-crafted experience with minimal bugs. Redux provides a solid, stable, and mature solution to managing state in your React application. In this course, you’ll explore advanced state management techniques, router integration, and other common problems that you might encounter while developing your applications. The recipe-based approach allows you to quickly identify your problem and find a solution to it. This course also consists of various recipes that will help you to understand different test-case scenarios created in Redux. Once you are well-acquainted with Redux, the course will explicitly show you how they work in developing a consistent application with React and Angular. The code bundle for this video course is available at https://github.com/PacktPublishing/-Redux-Recipes Downloading the example code for this course: You can download the example code files for all Packt video courses you have purchased from your account at http://www.PacktPub.com . If you purchased this course elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.
    Anmerkung: Online resource; Title from title screen (viewed February 28, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 41 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Mobile gaming is a $50+ billion industry. Much of the industry’s growth has been fueled by the sale of in-game virtual resources and items to help players progress further or improve their overall gaming experience. One of the biggest concerns for mobile gaming developers is improving their overall monetization without getting in the way of players enjoying the game. KIXEYE—a developer of complex mobile strategy games—periodically provides its player base with a handful of in-app purchase options that provide different in-game content at different price points and discounts. The problem that companies run into using this model is what in-app purchases should be shown and when in order to maximize the number of in-app purchases. This is made more difficult at KIXEYE due to the massive number of in-app purchases available in the company’s games. So how do you solve this problem? Bysshe Easton and Thomas Dobbs explain how KIXEYE used hybrid recommendation engine techniques to create personalized in-app purchase recommendations for its customers, resulting in a 20%+ lift in user revenue. Along the way, they cover some parallelization techniques the company used to nearly eliminate scaling issues. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839212956
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 12 hr., 21 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 11, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 149 hr., 54 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed September 25, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 91 hr., 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The O’Reilly Artificial Intelligence Conference San Jose 2019 was some of the world’s top AI practitioners sharing their AI passion and AI knowledge with thousands of attendees. It was Uber AI Lab’s Kenneth Stanley illuminating the future of AI with his talk about open-endedness learning. It was Danny Lange (Unity Technologies) on game environments that test the capabilities of AI-trained agents; Yi Zhang (University of California, Santa Cruz) on chatbots and the nearness of true conversational computing; and Hagay Lupesko (Facebook) on the challenges of mega-scale, deep learning-based personalization modeling. In short, AI San Jose 2019 was a mind-blower and this video compilation gives you access to virtually all of it with hours of material to peruse, study, and absorb on your own schedule. Highlights include: Complete video recordings of the best of AI San Jose 2019’s keynote addresses, deep dive tutorials, and technical sessions. Keynote addresses from AI thought leaders such as Andrew Feldman (Cerebras Systems), Sahika Genc (AWS DeepRacer/SageMaker RL), and Mike Jordan (UC Berkeley). Unrestricted access to the exclusive AI Business Summit’s executive briefings, best practice sessions, and tutorials led by AI business pros such as Michael Radwin (Intuit), Bahman Bahmani (Rakuten), Mayukh Bhaowal (Salesforce Einstein), Yael Gozin (Pfizer), and James Manyika (McKinsey & Company). Deep dive tutorials, including Jason Dai (Intel) on building deep learning apps for big data with the Analytics Zoo AI platform; Chaoran Yu (Lightbend) on doing machine learning (ML) with Kafka-based streaming pipelines; and Justina Petraityte (Rasa) on developing intelligent AI assistants based entirely on ML with open source Rasa NLU and Rasa Core. Sessions devoted to AI Implementation, such as Anuradha Gali (Uber) on using AI to leverage 15 million trips a day on the Uber platform; Roshan Sumbaly (Facebook) on connecting the dots between the software engineering and ML development worlds; Paige Bailey’s (Google) on TensorFlow 2.0's new features; and Alex Ratner (Snorkel) on building and managing training datasets for ML with open source Snorkel. Sessions focused on AI Models & Methods, including Lukas Biewald (Weights & Biases) review of how to use Keras to classify text with LSTMs and other ML techniques; and Francesca Lazzeri (Microsoft) on using AutoML to automate ML model selection and hyperparameter tuning. Dozens of how-to-do-it sessions detailing the tec...
    Anmerkung: Online resource; Title from title screen (viewed September 11, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255643
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Enhance the security of your Oracle cloud environment by providing users appropriate access for their respective job functions, and by providing for separation of duties such that no single user has enough access by which to exceed their level of authority. See how to think through and plan for the access requirements of technical experts such as cloud administrators and database administrators through to business-level users such as those accessing cloud applications and databases. Make use of your own enterprise identity management system, or use Oracle Identity Cloud Service. The video begins by showing how to create a plan based on enterprise roles for managing the database environment in the cloud. This plan includes a component on separation of duties. The video goes on to show how to create groups from the plan, and how to create users and assign users to groups. There are default groups and custom groups, so the video will cover creating and managing custom groups as well as the default ones. Connections to cloud services and databases are tested as a final step to verify the users and groups that have been created. What You Will Learn Design a role-based plan for managing users in the Oracle Cloud Create users in the Oracle Cloud for services and databases Manage roles and groups Manage single-sign-on in Oracle Identity Cloud Service Create customized groups through Oracle Identity Cloud Service Test to ensure users can connect to the cloud service and database server Verify user groups by showing that the right roles have been assigned Who This Video Is For Database administrators who are just starting to use Oracle’s cloud services, or who are getting ready to migrate to the Oracle cloud. For security administrators who want to learn best practices related to separation of duties and for centrally managing cloud users.
    Anmerkung: Online resource; Title from title screen (viewed October 25, 2019)
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  • 79
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484244418
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 49 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed January 7, 2019)
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  • 80
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789612813
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 32 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed June 26, 2019)
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  • 81
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 50 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Over the past two years, Credit Karma has gone from zero to nearly 100 microservices, supporting over 300 engineers while serving our more than 80 million members. Drawing on his experience at Credit Karma, Mason Jones shares approaches based on his real-world experiences making the shift to microservices, covering routing (How does service A find and call service B?), management (How do you handle hundreds of containers?), observability (How do you know what’s going on out there?), and experience (How do your developers deal with these services?), as well as the cultural and organizational impact that you can’t avoid. Join in to explore solutions, pitfalls, and practical examples that have worked in the real world at scale. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 82
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255940
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Come up to speed with Java functional programming and write effective Java code with less effort using lambdas and the stream API. Make your Java project code more reliable by using the declarative approach provided by these new Java features. Learn how to leverage the updated collections API to facilitate common functional programming patterns such as map/filter/reduce. If you’ve ever stumbled through constructing for loops and while loops, this video will add to your programming toolbox and allow you to leave such heavy lifting to the stream API. You’ll begin your journey with the syntax of Java lambdas, what they are, and how to use them. You will then be introduced to Java streams and the various ways of creating them for the purpose of processing data. You will also learn about the updates which have been made to the Java collections API for supporting streams. Along the way you will be taught the streams API and how to use the methods defined in the Stream class to process data sources to obtain the results you desire by employing lambdas with the Stream class’ operations. What You Will Learn Write functional interfaces for defining lambdas Master lambda syntax for implementing anonymous functions Create streams associated with data sources Process data through stream operations Use method references for simplifying lambda expressions Discover parallel and sequential streams and how they differ Who This Video Is For Software developers familiar with Java who wish to employ functional programming techniques in their software projects in order to write reliable, compact, and easy-to-read Java code.
    Anmerkung: Online resource; Title from title screen (viewed November 5, 2019)
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  • 83
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484251799
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Create and build fun and engaging robot projects with LEGO Mindstorms EV3. In this video, you’ll start by designing and naming your projects. Then give them life by connecting and controlling them for wire free movement with Bluetooth. Try out easy challenges, such as getting your robot to move the length of a yardstick then come back. Discover the basics of programming by teaching your robot to make sounds and display images. Incorporate sensors so that your robot can interact with and react to the world around it. And incorporate loops with the ultrasonic sensor to program a robot that can autonomously move around a space forever. With this video, you'll discover all the basic tools and skills needed to create awesome robotics projects using LEGO Mindstorms. What You Will Learn Connect your robot to a computer using Bluetooth or a wired connection Move your robot with rotations, time, speed, and direction Program your robot to make sounds and display images Incorporate sensors so that your robot can discover the world around it Who This Video Is For Students, hobbyists, and instructors interested in using LEGO Mindstorms to learn programming and robotics.
    Anmerkung: Online resource; Title from title screen (viewed July 3, 2019)
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  • 84
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 38 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 85
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 44 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 40 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: In many industrial ML applications, feature engineering consumes the lion’s share of time, energy, and resources. Deep learning promises to replace feature engineering with models that learn end to end from “close-to-reality” data and has convincingly realized this promise for computer vision and natural language processing. But does this promise apply outside of these domains? Pamela Vagata (Stripe) explains how Stripe has applied deep learning techniques to predict fraud from raw behavioral data. Since fraud detection is a critical business problem for Stripe, the company already had a well-tuned feature-engineered model for comparison. Stripe found that the deep learning model outperforms the feature-engineered model both on predictive performance and in the effort spent on data engineering, model construction, tuning, and maintenance. Join in to discover how common industry practice could shift toward deeper models trained end to end and away from labor-intensive feature engineering. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 87
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed August 25, 2019)
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  • 88
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 89
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 31 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Change is the only constant; upgrades are inevitable. Believe it or not, this also applies to your database. There are many drivers for such changes, such as technology stack updates and new data center or event cloud migrations. A database migration isn’t an easy task. Preparation and execution takes time and leaves no room for mistakes. And once you start, there’s no going back. But is this the only way? Adrian Lungu and Serban Teodorescu (Adobe) explain how—inspired by the green-blue deployment technique—the Adobe Audience Manager team developed an active-passive database migration procedure that allows them to test database clusters in production, minimizing the risks without compromising the innovation. It was successfully applied twice to upgrade the entire database technology stack—but it’s never a smooth move when your databases are 200-node Cassandra clusters with hundreds of terabytes of data and downtime is not an option. The first migration was focused only on software upgrades. For the second upgrade, the team’s confidence was so high that they added a twist: a couple of more changes besides the Cassandra version—AWS instance type, operating system, disk settings, memory settings, JVM, and a few more. What could go wrong? Well. . .everything. Adrian and Serban describe the migration technique and present an extensible database client that makes all the active-passive management possible with just a configuration change. Yes, you heard it right. No code changes, just configurations. They then share a series of tales and lessons learned during the migration of over 500 Cassandra nodes. Most of the lessons aren’t Cassandra related but instead apply to hardware, drivers, operating system, or the JVM—debugging for days and searching for that metric anomaly or that log line that would give us a hint on what went wrong. Join in to see how you can avoid some of these pitfalls in your own projects. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 90
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 44 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 91
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 24 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Analytics and AI are powerful methods for extracting insights hidden in data. However, these methods by themselves cannot convey insights. Visualization is a key requirement for explaining analytical findings, but visualizations such as graphs and charts are not always enough to explain data, especially to a nontechnical audience. This audience may need a different approach to connect with the data. Nancy Rausch (SAS Institute) shares a case study for a project that combined machine learning and art to tell a big data story. She explains how she and her team collected and prepared IoT streaming data from a solar array farm, applied an analytical model to forecast future output, and then visualized the results for general audiences using interactive art. They also used artificial intelligence and natural language processing to allow visitors to interact with the art installation. The project brought solar array technology to life in a way that was able to engage and delight visitors of all ages and backgrounds. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255667
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 2 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed November 6, 2019)
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  • 93
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 35 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Brands, marketers, and product designers need to understand their customers. Traditionally, market research was driven by surveys and focus groups of limited scale. Today, digital signals like web browsing behavior can provide a stream of observed behavioral data that is rich with information about a user’s interests, needs, and preferences. This type of data, coupled with machine learning techniques, holds the promise of freeing market research from the constraints of self-reported customer data. In its raw state, web browsing data is both too detailed and too sparse to be comprehensible, let alone actionable. Melinda Han Williams (Dstillery) explores semantic embeddings as a novel approach for understanding observed digital consumer behavior and details how to use a semantic embedding of web browsing behavior to drive unsupervised clustering for customer segmentation. You’ll learn how Dstillery has trained a neural network on 15 billion behavioral interactions. The resulting model can be seen as a much lower dimensional embedding of the internet and, if projected into two or three dimensions, as an interactive map. This taxonomy of internet behavior can be used as the foundation for a number of applications, providing unparalleled insights into consumer behavior and needs. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 17 hr., 14 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed March 26, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 49 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: It turns out that domain-driven design is not just for cargo shipping. Vladik Khononov (Naxex) explains how he and his team embraced domain-driven design (DDD) (with very limited resources and a very short time to market) at Plexop, a large-scale marketing system that spans over a dozen different business domains. Join in to learn how DDD allowed the team to manage business complexities, find out strategies for defining context boundaries, explore lessons learned the hard way, and discover where they had to adapt the DDD methodology to fit the company’s needs. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 96
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 5 hr., 16 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The courses in this series will help you prepare for the Unity Certified 3D Artist exam, the professional certification for entry- to mid-level Unity artists. 3D artists are critical to the Unity development pipeline. They are a bridge between the programmers writing the application code and the designers or art directors who define the application’s aesthetics and style. In these courses, you will be challenged to complete realistic art implementation tasks in Unity that are aligned to the topics covered on the exam. Description Unity’s only official series of courses to prepare for the Unity Certified 3D Artist exam. This specialization covers five topic areas distributed over 5 self-paced courses: Asset Creation and Management; Lighting, Reflection and Post-Processing Effect; Integrating Scripts for Scene Integrations; Character Setup; and Setting up Cutscenes.Participants in this Specialization will complete multiple project milestones across two main projects: a Kitchen Configuration application with a realistic aesthetic, and a 3D video game level with a more stylized science-fantasy look. Across these two projects, learners will complete tasks including importing assets, manipulating materials, creating prefabs, adding lighting, setting up character models, and building cutscenes. About the Instructor Unity Technologies is the creator of the worlds most widely used real-time 3D (RT3D) development platform, giving developers around the world the tools to create rich, interactive 2D, 3D, VR and AR experiences. Our 1000 person engineering team keeps Unity at the bleeding-edge of technology by working alongside partners such as Facebook, Google, Microsoft, and Oculus to ensure optimized support for the latest releases and platforms. Experiences made with Unity reach nearly 3 billion devices worldwide, and were installed 24 billion times in the last 12 months. Unity is powering RT3D in architecture, automotive, construction, engineering, film, games, and more. By successfully completing the projects in all four courses, participants will have had extensive, guided practice in the programming skills needed to pass the Unity Certified 3D Artist Programmer Eexam. Skill Level Intermediate What You Will Learn Select the relevant import settings for importing 3D assets into Unity Troubleshoot common issues with imported 3D assets Identify techniques to prototype scenes and maintain prefabs throughout the production cycle Recognize pro...
    Anmerkung: Online resource; Title from title screen (viewed June 5, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 57 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed August 29, 2019)
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  • 98
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 55 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title screen (viewed September 17, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 49 hr., 17 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed July 15, 2019)
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    [Erscheinungsort nicht ermittelbar] : Cisco Press | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 5 hr., 56 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 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...
    Anmerkung: Online resource; Title from title screen (viewed September 30, 2019)
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