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  • 2015-2019  (779)
  • 1960-1964
  • Sebastopol, CA : O'Reilly Media  (779)
  • Electronic books ; local  (779)
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  • 1
    Online Resource
    Online Resource
    An introduction to regular expressions : decoding simple regex features to match complex text patterns (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Regular expressions (Computer science) ; Text processing (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: The ubiquity of regular expressions must mean they offer universal utility, and, surprisingly, they do not have a steep learning curve. If you frequently find yourself manually scanning documents or parsing substrings just to identify text patterns, you might want to give them a look. Especially in data science and data engineering, they can assist in a wide spectrum of tasks, from wrangling data to qualifying and categorizing it. This report covers enough regular expression features to make them useful for a great majority of tasks you may encounter.
    Note: "Report.". - Description based on online resource; title from cover (viewed June 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492082569/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Future of the firm (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Business enterprises ; Industrial management ; Electronic books ; Electronic books ; local
    Abstract: Today's successful businesses are increasingly digital and technologically astute, but how do they attract and manage employees in a world where two billion people work part-time? How do they develop a workforce when automation is advancing? And how do they serve customers and attract and retain employees when competition for both is high and trust is at an all-time low? In this O'Reilly Radar report, Josh Bersin, Tim O'Reilly, Roger Magoulas, and Mike Loukides address what business leaders, tech leaders, and decision makers can expect, how they can prepare, and what they should learn to shape the future of the business. These lessons affect much more than the bottom line. This report covers big-picture trends we expect to impact the future success of all firms, including: Trust in business is changing: customers seek firms whose values reflect their own. Employees want satisfaction and meaning, not just money and security. The shift to AI and machine learning is changing almost every job. Companies are becoming networked marketplaces that build on core competencies while outsourcing the rest. Many firms offer compensation beyond pay, including alternate work relationships, flexible workplaces, and training opportunities. Embracing diversity requires solving compensation problems, creating a safe workplace, and valuing an employee's opinions.
    Note: Description based on online resource; title from title page (Safari, viewed June 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053859/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Modern defense in depth : an integrated approach to better web application security (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Web applications ; Security measures ; Data protection ; Malware (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: Despite deploying the latest security technologies, organizations still struggle to defend cloud-based web applications against sophisticated cyberattacks. Many companies have turned to the popular defense-in-depth (DiD) technique, but this multilayered approach has its shortcomings. So where is the industry headed next? This insightful ebook demonstrates a new approach to DiD that enables current security tools to operate in concert rather than independently. Stephen Gates, edge security evangelist and SME at Oracle Dyn, shows you how companies can establish integrated lines of defense similar to the way in which modern militaries operate on the battlefield. By the end of this book, CSOs, CISOs, security managers, and other professionals will understand how to implement the recommendations in this book today using the security technologies they already have in place. With this ebook, you'll examine: Why today's security technologies alone aren't enough to protect web applications How the existing approach to DiD for cybersecurity falls short of its goals An example of how the modern military uses integrated lines of defense that work in concert Eight lines of defense-including edge routers, DDoS defenses, and WAFs-that are best for protecting cloud-based web applications Ways to use automation and supervised machine learning to integrate your security approaches
    Note: Description based on online resource; title from title page (viewed May 16, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492050360/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Laravel : up & running : a framework for building modern PHP apps (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Laravel (Software framework) ; PHP (Computer program language) ; Application program interfaces (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: What sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its vast ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to cover Laravel 5.8, the latest release, the second edition of this practical guide provides the definitive introduction to one of today's most popular web frameworks. Matt Stauffer-a leading teacher and developer in the Laravel community-delivers a high-level overview and concrete examples to help experienced PHP web developers get started with Laravel right away. By the time you reach the last page, you should feel comfortable writing an entire application in Laravel from scratch.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041207/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Unity game development cookbook : essentials for every game (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Unity (Electronic resource) ; Computer games ; Programming ; Computer games ; Design ; Electronic books ; Electronic books ; local
    Abstract: Find out how to use the Unity Game Engine to its fullest for both 3D and 2D game development-from the basics to the hottest new tricks in virtual reality. With this unique cookbook, you'll get started in two ways: First, you'll learn about the Unity game engine by following very brief exercises that teach specific features of the software Second, this tutorial-oriented guide provides a collection of snippets that solve common gameplay problems, like determining if a player has completed a lap in a race Using our cookbook format, we pinpoint the problem, set out the solution, and discuss how to solve your problem in the best and most straightforward way possible so you can move onto the next step in the project. Unity Game Development Cookbook is ideal for beginning to intermediate Unity developers. Beginners will get a broad immersion into the Unity development environment, while intermediate developers will learn how to apply the foundational Unity skills they have to solve real game development problems.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 2, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491999141/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Natural language processing with PyTorch : build intelligent language applications using deep learning (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you're a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 31, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491978221/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Hybrid and multicloud solutions (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Now that companies are moving en masse to the public cloud, how can you leverage your previous investment in a private cloud? Many organizations that developed private clouds in the past decade are busy building hybrid clouds that combine both private and public cloud technologies. This ebook shows IT ops, data ops, and data engineers how a hybrid cloud can give your company a competitive advantage. Author Steve Suehring guides you through the various hybrid and multicloud solutions available. You'll learn how to use a hybrid cloud to store secure data in your own data center and then apply computational resources from the public cloud to run applications with that data. Hybrid clouds also enable you provide efficient backup, warm recoveries, and an easier way to manage regulatory compliance. Learn the advantages and challenges of using a hybrid cloud in your organization Create a hybrid cloud architecture by managing private and public clouds as one unified resource pool Seamlessly manage and move workloads between clouds by working with migration and service movement paths Choose a hybrid cloud solution that provides the support and advanced capabilities your organization requires
    Note: Description based on online resource; title from title page (Safari, viewed May 31, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492047223/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Head first Go (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: First edition.
    Series Statement: Head first
    Keywords: Go (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: What will you learn from this book? Go makes it easy to build software that's simple, reliable, and efficient. Andthis book makes it easy for programmers like you to get started. Googledesigned Go for high-performance networking and multiprocessing, but-like Python and JavaScript-the language is easy to read and use. With thispractical hands-on guide, you'll learn how to write Go code using clearexamples that demonstrate the language in action. Best of all, you'll understandthe conventions and techniques that employers want entry-level Godevelopers to know. Why does this book look so different? Based on the latest research in cognitive science and learning theory, HeadFirst Go uses a visually rich format to engage your mind rather than a textheavyapproach that puts you to sleep. Why waste your time struggling withnew concepts? This multisensory learning experience is designed for theway your brain really works.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491969540/?ar
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    Online Resource
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  • 9
    Online Resource
    Online Resource
    Fifty years of data management and beyond (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Database management ; Electronic data processing ; Management ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Every decade since the 1960s, researchers at companies like IBM, Amazon, and many others have introduced major new frameworks and techniques to handle rising data management problems. This concise ebook explains how these new systems helped data science evolve quickly-from hierarchical and relational databases to big data and cloud computing to streaming and graph data. Computer scientist Paco Nathan shows members of your data science team how major companies created each of these data management systems not just to deal with new data types but also to take full advantage of the opportunities the data presented. Their efforts over the years have propelled an entire industry. This report covers the historical progression of data management topics including: Hierarchical databases -1960s mainframe batch systems are still used in finance, healthcare, manufacturing, energy, and other industries. Relational databases -these enabled faster transactions, mathematical optimization, and budgeting guarantees for many businesses. Big data -this includes relatively cheap horizontal scale-out systems for collecting huge amounts of customer data. Cloud computing -large companies began managing reliable, scalable, cost-effective data centers; Amazon turned the concept into a business. Cluster schedulers -managing horizontal clusters was difficult before schedulers such as Apache Mesos appeared. Streaming data -data continuously generated by different sources requires responses in "real time"-generally milliseconds.
    Note: Description based on online resource; title from title page (Safari, viewed May 31, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492057512/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
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  • 10
    Online Resource
    Online Resource
    Data lake maturity model : charting a course for data success (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic data processing ; Distributed processing ; Management ; Big data ; Information storage and retrieval systems ; Electronic books ; Electronic books ; local
    Abstract: Data is changing everything. Many industries today are being fundamentally transformed through the accumulation and analysis of large quantities of data, stored in diversified but flexible repositories known as data lakes. Whether your company has just begun to think about big data or has already initiated a strategy for handling it, this practical ebook shows you how to plan a successful data lake migration. You'll learn the value of data lakes, their structure, and the problems they attempt to solve. Using Zaloni's data lake maturity model, you'll then explore your organization's readiness for putting a data lake into action. Do you have the tools and data architectures to support big data analysis? Are your people and processes prepared? The data lake maturity model will help you rate your organization's readiness. This report includes: The structure and purpose of a data lake Descriptive, predictive, and prescriptive analytics Data lake curation, self-service, and the use of data lake zones How to rate your organization using the data lake maturity model A complete checklist to help you determine your strategic path forward
    Note: Description based on online resource; title from title page (viewed June 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491996560/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Design for how people think : using brain science to build better products (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Product design ; Creative thinking ; User-centered system design ; Customer relations ; Electronic books ; Electronic books ; local
    Abstract: User experience doesn't happen on a screen; it happens in the mind, and the experience is multidimensional and multisensory. This practical book will help you uncover critical insights about how your customers think so you can create products or services with an exceptional experience. Corporate leaders, marketers, product owners, and designers will learn how cognitive processes from different brain regions form what we perceive as a singular experience. Author John Whalen shows you how anyone on your team can conduct "contextual interviews" to unlock insights. You'll then learn how to apply that knowledge to design brilliant experiences for your customers. Learn about the "six minds" of user experience and how each contributes to the perception of a singular experience Find out how your team-without any specialized training in psychology-can uncover critical insights about your customers' conscious and unconscious processes Learn how to immediately apply what you've learned to improve your products and services Explore practical examples of how the Fortune 100 used this system to build highly successful experiences
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
    URL: lizenzpflichtig
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  • 12
    Online Resource
    Online Resource
    Cybersecurity Ops with bash : attack, defend, and analyze from the command line (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer security ; Computer networks ; Security measures ; Computer crimes ; Economic aspects ; Electronic books ; Electronic books ; local
    Abstract: If you hope to outmaneuver threat actors, speed and efficiency need to be key components of your cybersecurity operations. Mastery of the standard command line interface (CLI) is an invaluable skill in times of crisis because no other software application can match the CLI's availability, flexibility, and agility. This practical guide shows you how to use the CLI with the bash shell to perform tasks such as data collection and analysis, intrusion detection, reverse engineering, and administration. Authors Paul Troncone, founder of Digadel Corporation, and Carl Albing, coauthor of bash Cookbook (O'Reilly), provide insight into command line tools and techniques to help defensive operators collect data, analyze logs, and monitor networks. Penetration testers will learn how to leverage the enormous amount of functionality built into every version of Linux to enable offensive operations. With this book, security practitioners, administrators, and students will learn how to: Collect and analyze data, including system logs Search for and through files Detect network and host changes Develop a remote access toolkit Format output for reporting Develop scripts to automate tasks
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    URL: lizenzpflichtig
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  • 13
    Online Resource
    Online Resource
    Data engineers vs. data scientists : how misconceptions of data roles can hurt teams and compromise productivity (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Database design ; Database management ; Teams in the workplace ; Job descriptions ; Electronic books ; Electronic books ; local
    Abstract: Data engineers and data scientists are not interchangeable-and misperceptions of their roles can hurt teams and compromise productivity. This article clears up the differences of each role and how to best optimize these roles.
    Note: "Report.". - Description based on online resource; title from cover (viewed June 3, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492082491/?ar
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    MPI Ethno. Forsch.
  • 14
    Online Resource
    Online Resource
    What is the cloud? (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Why are so many companies moving to the cloud? In a word, agility. Businesses need to act quickly to stay ahead of today's global competition. The cloud provides all the services you need on demand -everything from data storage and applications to networking and greater processing power-so your business can catch, match, or outpace your competitors. With this short ebook, you'll learn how the cloud enables you to pivot quickly when market conditions change. Author Bill Laberis explains how the cloud follows in the footsteps of previous computing paradigms such as mainframes and client-server models. You'll explore various cloud options and examine case studies that reveal how Airbnb, Heineken, American Airlines, Colgate-Palmolive, and Schneider Electric leverage cloud services from Amazon, IBM, and Google. Delve into the business case for using cloud services Understand the differences between the private, public, and hybrid cloud Examine the cloud's payment model that lets you pay for services on an as-needed basis Explore cloud options such as SaaS, PaaS, IaaS, and serverless computing Learn about the security concerns of the public and private cloud
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 2, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052913/?ar
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  • 15
    Online Resource
    Online Resource
    Graph algorithms : practical examples in Apache Spark and Neo4j (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Graph algorithms ; Electronic books ; Electronic books ; local
    Abstract: Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed May 31, 2019)
    URL: lizenzpflichtig
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  • 16
    Online Resource
    Online Resource
    Creating augmented and virtual realities : theory and practice for next-generation spatial computing (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Augmented reality ; Design ; Virtual reality ; Design ; Human-computer interaction ; Electronic books ; Electronic books ; local
    Abstract: Despite popular forays into augmented and virtual reality in recent years, spatial computing still sits on the cusp of mainstream use. Developers, artists, and designers looking to enter this field today have few places to turn for expert guidance. In this book, Erin Pangilinan, Steve Lukas, and Vasanth Mohan examine the AR and VR development pipeline and provide hands-on practice to help you hone your skills. Through step-by-step tutorials, you'll learn how to build practical applications and experiences grounded in theory and backed by industry use cases. In each section of the book, industry specialists, including Timoni West, Victor Prisacariu, and Nicolas Meuleau, join the authors to explain the technology behind spatial computing. In three parts, this book covers: Art and design: Explore spatial computing and design interactions, human-centered interaction and sensory design, and content creation tools for digital art Technical development: Examine differences between ARKit, ARCore, and spatial mapping-based systems; learn approaches to cross-platform development on head-mounted displays Use cases: Learn how data and machine learning visualization and AI work in spatial computing, training, sports, health, and other enterprise applications
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492044185/?ar
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  • 17
    Online Resource
    Online Resource
    Fighting financial crimes with artificial intelligence (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Commercial crimes ; Investigation ; Computer crimes ; Investigation ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: As new digital channels emerge for monetary transactions, financial crime continues to soar. The good news is that recently developed AI-based crime-fighting systems are already having a positive impact. In this report, Atif Kureishy (Teradata Consulting) and Chad Meley (Teradata) examine online criminal activity and describe the benefits and challenges of deploying AI models for fighting digital crime. Roughly two-thirds of all businesses around the globe experienced financial criminal activity in 2017-up 58% from the year before. Legacy practices and traditional rules engines simply can't keep up. This report delves into research on the current state of AI adoption worldwide and discusses the advantages of AI models as well as the difficulties of putting them into practice. With this report, you'll explore: Different types of financial crime, including sophisticated fraud schemes, cybercrime, and money laundering The fallout that successful criminal schemes have on financial services firms Challenges to staying ahead of financial crime, such as regulatory complexity, real-time transactions, and pressure to innovate The state of today's anticrime measures in financial institutions and the benefits of AI-based models Challenges that crop up when deploying AI models for fighting financial crime
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed June 14, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052678/?ar
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  • 18
    Online Resource
    Online Resource
    D3 for the impatient : interactive graphics for programmers and scientists (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: JavaScript (Computer program language) ; Interactive computer graphics ; Computer graphics ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: If you're in a hurry to learn D3.js, the leading JavaScript library for web-based graphics and visualization, this book is for you. Written for technically savvy readers with a background in programming or data science, the book moves quickly, emphasizing unifying concepts and patterns. Anticipating common difficulties, author Philipp K. Janert teaches you how to apply D3 to your own problems. Assuming only a general programming background, but no previous experience with contemporary web development, this book explains supporting technologies such as SVG, HTML5, CSS, and the DOM as needed, making it a convenient one-stop resource for a technical audience. Understand D3 selections, the library's fundamental organizing principle Learn how to create data-driven documents with data binding Create animated graphs and interactive user interfaces Draw figures with curves, shapes, and colors Use the built-in facilities for heatmaps, tree graphs, and networks Simplify your work by writing your own reusable components
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046783/?ar
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  • 19
    Online Resource
    Online Resource
    Deep learning for the life sciences : applying deep learning to genomics, microscopy, drug discovery, and more (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Life sciences ; Data processing ; Machine learning ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Abstract: Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You'll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine-an example that represents one of science's greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it's working
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 24, 2019)
    URL: lizenzpflichtig
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  • 20
    Online Resource
    Online Resource
    Practical cloud security : a guide for secure design and deployment (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Security measures ; Computer networks ; Security measures ; Computer networks ; Access control ; Electronic books ; Electronic books ; local
    Abstract: With their rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities. This hands-on book guides you through security best practices for multivendor cloud environments, whether your company plans to move legacy on-premises projects to the cloud or build a new infrastructure from the ground up. Developers, IT architects, and security professionals will learn cloud-specific techniques for securing popular cloud platforms such as Amazon Web Services, Microsoft Azure, and IBM Cloud. Chris Dotson-an IBM senior technical staff member-shows you how to establish data asset management, identity and access management, vulnerability management, network security, and incident response in your cloud environment.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492037507/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Emotionally intelligent design : rethinking how we create products (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Technological innovations ; Psychological aspects ; Technological innovations ; Social aspects ; Emotional intelligence ; Design and technology ; Product design ; Technological innovations ; Electronic books ; Electronic books ; local
    Abstract: As technology becomes deeply integrated into every aspect of our lives, we've begun to expect more emotionally intelligent interactions. But smartphones don't know if we're having a bad day, and cars couldn't care less about compassion. Technology is developing more IQ, but it still lacks EQ. In this book, Pamela Pavliscak-design researcher and advisor to Fortune 500 companies-explores new research about emotion, new technology that engages emotion, and new emotional design practices. Drawing on her own research and the latest thinking in psychology, neuroscience, and behavioral economics, Pamela shows you how design can help promote emotional well-being. You'll learn: How design has transformed emotion and how tech is transforming it again New principles for merging emotional intelligence and design thinking How to use a relationship model for framing product interactions and personality Methods for blending well-being interventions with design patterns How emotional resonance can guide designers toward ethical futures Implications of emotionally intelligent technology as it scales from micro- to mega-emotional spheres
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 2, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491953136/?ar
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  • 22
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    Empathy at work (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Empathy ; Work ; Psychological aspects ; Psychology, Industrial ; Interpersonal communication ; Interpersonal relations ; Electronic books ; Electronic books ; local
    Abstract: Empathy is an essential tool for building solid relationships, connecting with those you disagree with, and creating an environment where everyone feels valued. Empathy is also incredibly difficult to quantify. How do you show empathy? Which actions promote empathy, and which destroy it? This practical ebook details how companies can create systems and services around empathy to help managers and their employees have a better experience at work. Author Sharon Steed examines the most impactful empathy actions and shows you how to facilitate conversations around incorporating these practices among your teams. You'll explore different types of empathy and learn how to apply empathetic communication. Along the way, you'll discover new tools to help you be a better empath in difficult situations. This ebook explores: Three types of empathy that play an important role in how you interact with others Key characteristics of empathetic communication: active listening and intentional speaking Why nonverbal communication outweighs verbal communication The behaviors of collaborative teams that value empathy How to overcome barriers at work that make empathy difficult Three steps to help you put empathy into operation
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 16, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492050483/?ar
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  • 23
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    Chaos engineering observability : bringing chaos experiments into system observability (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Electronic data processing ; Distributed processing ; Business enterprises ; Computer networks ; Management ; Electronic books ; Electronic books ; local
    Abstract: Chaos engineering is a highly collaborative activity. When applied well, virtually everyone is responsible for exploring, surfacing, overcoming, and validating weaknesses in their systems. That can lead to a lot of chaos engineering activity across a collection of systems at any moment in time. How can you keep chaos engineering from becoming, well, too chaotic? One key technique is chaos observability. In this ebook, Russ Miles of ChaosIQ demonstrates how to bring your chaos experiments into the world of system observability. Chaos observability enables you to surface, debug, and even visualize chaos experiment activities across your system in real time and through time series recordings. You'll learn how chaos observability helps everyone in production be aware of chaos activities occurring within and across systems. Understand why it's imperative to make chaos engineering observable Learn how to bring chaos experiments and engineering into the overall system observability picture Make chaos observability actionable and difficult to ignore through alerts and Slack integration
    Note: Description based on online resource; title from title page (Safari, viewed May 21, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492051046/?ar
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  • 24
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    Preparing for your migration to the cloud : 7 steps to success (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: The great cloud migration is picking up steam. Companies moving all or part of their IT workloads to the public cloud for backup, email hosting, productivity apps or all of the above will generate $44 billion in costs during 2018 alone. So, the question is not if but how enterprises plan to make the move. This ebook provides a practical seven-step migration plan to prepare your company for the journey. Author Steve Francis provides a prescriptive look at the best practices needed to ensure a successful transition. You'll also learn from several IT and business leaders about their recent cloud migration experiences, including pitfalls to avoid. This seven-step plan focuses on three major benefits of the cloud: operational agility, strategic focus, and cost savings: Identify desired outcomes before you get into migration specifics Classify candidates for the cloud, including applications or workloads best suited for the move Define deployment model criteria-IaaS, PaaS, SaaS, or a private cloud Devise an iterative, agile process for transformation among your teams Get buy-in to the plan from people at the top and in the trenches Start simply with a project that's relatively risk-free-one you're likely to learn from the most Rinse and repeat by applying lessons learned to the next workload or application
    Note: Description based on online resource; title from title page (Safari, viewed November 8, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492038832/?ar
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  • 25
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    Agile for everybody : creating fast, flexible, and customer-first organizations (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Organizational change ; Organizational effectiveness ; Agile software development ; Electronic books ; Electronic books ; local
    Abstract: The Agile movement provides real, actionable answers to the question that keeps many company leaders awake at night: How do we stay successful in a fast-changing and unpredictable world? Agile has already transformed how modern companies build and deliver software. This practical book demonstrates how entire organizations-from product managers and engineers to marketers and executives-can put Agile to work. Author Matt LeMay explains Agile in clear, jargon-free terms and provides concrete and actionable steps to help any team put its values and principles into practice. Examples from a wide variety of organizations, including small nonprofits and global financial enterprises, bring to life the on-the-ground realities of Agile across industries and functions. Understand exactly what Agile is and why it matters Use Agile to address your organization's specific needs and goals Take customer centricity from theory into practice Stop wasting time in "report and critique" meetings and start making better decisions Create a harmonious cycle of learning, collaborating, and delivering Learn from Agile experts at companies like IBM, Spotify, and Coca-Cola
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 7, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033509/?ar
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  • 26
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    Stream processing with Apache Spark : mastering structured streaming and Spark streaming (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Electronic data processing ; Distributed processing ; Data mining ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You'll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs. Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API. Learn fundamental stream processing concepts and examine different streaming architectures Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail Create and operate streaming jobs and applications with Spark Streaming ; integrate Spark Streaming with other Spark APIs Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed June 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491944233/?ar
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    What is cloud native? (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Cloud computing ; Computer architecture ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Why are so many companies embracing cloud native development? Getting new features into the hands of demanding customers requires a faster and more efficient approach than traditional development methods. The most successful organizations today use cloud native to develop innovative software products and services with speed and scalability not possible with the static waterfall development method. In this ebook, Bill Laberis explores cloud native by defining various interrelated elements of this approach. By learning terms such as DevOps, microservices, and continuous delivery, you'll understand why cloud native is much more about how applications are built and deployed than where. This ebook includes case studies of how the Financial Times, Volkswagen, ASOS, and DISH adopted cloud native. You'll examine cloud native practices and components such as: DevOps: Practices for removing barriers between development and operations Continuous delivery, continuous upgrades, and automated scalability: Practices vital to DevOps success Containers, including Docker: A method for bundling software and its dependencies into one package Kubernetes: A tool for deploying, scaling, and managing containerized applications Orchestration: Automated configuration, coordination, and management of cloud systems, resources, and software Microservices: Architecture for building applications as a collection of services or protocols
    Note: Description based on online resource; title from title page (Safari, viewed May 21, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492055136/?ar
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    Feature flag best practices : advanced tips for product delivery teams (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Whether you want to fine-tune operational control or conduct A/B/n tests, feature flags make it easy to deliver software features quickly and safely. With this practical book, software engineers will learn eight best practices for using feature flags in production, including how to configure and manage a growing set of feature flags within your product, maintain them over time, manage infrastructure migrations, and more. Pete Hodgson and Patricio Echagüe demonstrate how feature flags help modern product delivery teams reduce risk by decoupling code deployment from feature release. You'll learn how to maintain flag consistency in different scenarios and how to develop, test, and work with feature flags at scale. With these practices, you will: Make sure users in a test still have access once a feature is ramped up Learn flag strategies for transitioning users from "anonymous" to "logged in" Keep flagging decisions on the server to maintain performance and security Use patterns to make incremental, backward-compatible database changes Implement flagging decisions as close to business logic as possible Have each flag owned by one team responsible for rollout and monitoring Consider testability when using feature flags in combination with CI practices Maintain a process for identifying and tracking flags Examine the effect a feature flag is having on your business
    Note: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492050452/?ar
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  • 29
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    Strategic writing for UX : drive engagement, conversion, and retention with every word (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: User-centered system design ; User interfaces (Computer systems) ; Design ; Business writing ; Electronic books ; Electronic books ; local
    Abstract: When you depend on users to perform specific actions-like buying tickets, playing a game, or riding public transit-well-placed words are most effective. But how do you choose the right words? And how do you know if they work? With this practical book, you'll learn how to write strategically for UX, using tools to build foundational pieces for UI text and UX voice strategy. UX content strategist Torrey Podmajersky provides strategies for converting, engaging, supporting, and re-attracting users. You'll use frameworks and patterns for content, methods to measure the content's effectiveness, and processes to create the collaboration necessary for success. You'll also structure your voice throughout so that the brand is easily recognizable to its audience. Learn how UX content works with the software development lifecycle Use a framework to align the UX content with product principles Explore content-first design to root UX text in conversation Learn how UX text patterns work with different voices Produce text that's purposeful, concise, conversational, and clear
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed June 14, 2019)
    URL: lizenzpflichtig
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    Mastering collaboration : make working together less painful and more productive (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Teams in the workplace ; Teams in the workplace ; Training of ; Electronic books ; Electronic books ; local
    Abstract: Collaboration is key for organizations in the 21st century, yet few business people have been trained to teach this skill. How do you advance ideas in a collaborative way and then communicate them throughout your company? In this practical book, author Gretchen Anderson shows you how to generate ideas with others while gaining buy-in from all levels of your organization. Product managers, designers, marketers, technical leaders, and executives will obtain better insight into how team members work together to make decisions. Through tangible exercises and techniques, you'll learn how to turn promising ideas into products, services, and solutions that make a real difference in the market. Use a framework to develop ideas into hypotheses to be tested and refined Avoid common pitfalls in the collaboration process Align communication approaches to ensure that collaboration is effective and inclusive Structure events or meetings for different types of collaboration depending on the people involved Practice giving and receiving critiques to foster inclusion without resorting to consensus-based decisions
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed June 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041726/?ar
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    Getting started with Knative : building modern serverless workloads on Kubernetes (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Computer networks ; Management ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: While Kubernetes is a great platform for running and managing containers, the job of building, deploying, and managing serverless applications is best suited for Knative. This practical ebook shows developers and operators new to Knative how to use this open source project in conjunction with Kubernetes. You'll learn how to create and run code with Knative and how to integrate this platform into your production environment. Throughout this ebook, Bryan Friedman and Brian McClain from Pivotal explore serverless architecture patterns using examples of self-service use cases. Whether you're planning to use Kubernetes or have begun to run it in production, this ebook will help you understand how Knative and each of its components will work in your system. Code samples are available on GitHub, and prebuilt container images are available on Docker Hub. Dive into Knative's three key components: serving, building, and eventing Deploy and serve applications and functions with the Knative Serving module Compile and package code as containers with Knative Build Create a rich, robust event-driven architecture with Knative Eventing Explore advanced topics such as creating your own event source and using build templates Put everything together to build a sample service for visualizing earthquake activity
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 21, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492047025/?ar
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    Cloud native DevOps with Kubernetes : building, deploying, and scaling modern applications on Kubernetes in the cloud (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Electronic data processing ; Distributed processing ; Application software ; Development ; Information technology ; Management ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: Kubernetes is the operating system of the cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts John Arundel and Justin Domingus show you what Kubernetes can do-and what you can do with it. You'll learn all about the Kubernetes ecosystem, and use battle-tested solutions to everyday problems. You'll build, step by step, an example cloud native application and its supporting infrastructure, along with a development environment and continuous deployment pipeline that you can use for your own applications. Understand containers and Kubernetes from first principles; no experience necessary Run your own clusters or choose a managed Kubernetes service from Amazon, Google, and others Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for security, observability, and monitoring Adopt DevOps principles to help make your development teams lean, fast, and effective
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 18, 2019)
    URL: lizenzpflichtig
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    Programming TypeScript : making your JavaScript applications scale (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: TypeScript (Computer program language) ; JavaScript (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Any programmer working with a dynamically typed language will tell you how hard it is to scale to more lines of code and more engineers. That's why Facebook, Google, and Microsoft invented gradual static type layers for their dynamically typed JavaScript and Python code. This practical book shows you how one such type layer, TypeScript, is unique among them: it makes programming fun with its powerful static type system. If you're a programmer with intermediate JavaScript experience, author Boris Cherny will teach you how to master the TypeScript language. You'll understand how TypeScript can help you eliminate bugs in your code and enable you to scale your code across more engineers than you could before. In this book, you'll: Start with the basics: Learn about TypeScript's different types and type operators, including what they're for and how they're used Explore advanced topics: Understand TypeScript's sophisticated type system, including how to safely handle errors and build asynchronous programs Dive in hands-on: Use TypeScript with your favorite frontend and backend frameworks, migrate your existing JavaScript project to TypeScript, and run your TypeScript application in production
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
    URL: lizenzpflichtig
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    Kubernetes patterns : reusable elements for designing cloud-native applications (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application program interfaces (Computer software) ; Application software ; Development ; Cloud computing ; Software patterns ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures use new primitives that require a different set of practices than most developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland Huß from Red Hat provide common reusable elements, patterns, principles, and practices for designing and implementing cloud-native applications on Kubernetes. Each pattern includes a description of the problem and a proposed solution with Kubernetes specifics. Many patterns are also backed by concrete code examples. This book is ideal for developers already familiar with basic Kubernetes concepts who want to learn common cloud-native patterns. You'll learn about the following pattern categories: Foundational patterns cover the core principles and practices for building container-based cloud-native applications. Behavioral patterns explore finer-grained concepts for managing various types of container and platform interactions. Structural patterns help you organize containers within a pod, the atom of the Kubernetes platform. Configuration patterns provide insight into how application configurations can be handled in Kubernetes. Advanced patterns cover more advanced topics such as extending the platform with operators.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 16, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492050278/?ar
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    Financial governance for data processing in the cloud : managing costs while democratizing data at scale (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Electronic data processing ; Information technology ; Management ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Cloud platforms are changing big data processing for the better, but there's one significant challenge: the problem of managing costs. Organizations used to on-premises solutions are often surprised by expense overruns for various tasks in the cloud, due to the ever-increasing amounts of structured, semi-structured, and unstructured data they collect and use. With this comprehensive guide, IT leaders, data architects, data engineers, and data analysts will examine several factors that affect cloud-based data processing costs. You'll also come away with a collection of financial governance best practices. Through the course of this ebook, you'll explore three areas essential to any successful governance plan: cost controls, traceability, and predictability. Authors Amit Duvedi, Balaji Mohanam, Andy Still, and Andrew Ash cover the processes, tools, and systems that will enable you to perform effective financial governance of your data processing platform. Learn how cloud-based financial governance differs from on-premises solutions Examine the way your company currently uses a cloud data platform Explore available cloud provider tools, third-party cloud management tools, and the new breed of analytic data platforms Dive into the stages of the financial governance lifecycle-to understand, control, and then optimize activity in your cloud platform Control your cloud costs while still meeting rising business demand and SLAs
    Note: Description based on online resource; title from title page (Safari, viewed June 17, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049760/?ar
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    Data science from scratch : first principles with Python (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Database management ; Data structures (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: To really learn data science, you should not only master the tools-data science libraries, frameworks, modules, and toolkits-but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability-and how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
    Note: Previous edition published: 2015. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 24, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041122/?ar
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    Data science and engineering at enterprise scale : notebook-driven results and analysis (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: As enterprise-scale data science sharpens its focus on data-driven decision making and machine learning, new tools have emerged to help facilitate these processes. This practical ebook shows data scientists and enterprise developers how the notebook interface, Apache Spark, and other collaboration tools are particularly well suited to bridge the communication gap between their teams. Through a series of real-world examples, author Jerome Nilmeier demonstrates how to generate a model that enables data scientists and developers to share ideas and project code. You'll learn how data scientists can approach real-world business problems with Spark and how developers can then implement the solution in a production environment. Dive deep into data science technologies, including Spark, TensorFlow, and the Jupyter Notebook Learn how Spark and Python notebooks enable data scientists and developers to work together Explore how the notebook environment works with Spark SQL for structured data Use notebooks and Spark as a launchpad to pursue supervised, unsupervised, and deep learning data models Learn additional Spark functionality, including graph analysis and streaming Explore the use of analytics in the production environment, particularly when creating data pipelines and deploying code
    Note: Description based on online resource; title from title page (Safari, viewed April 29, 2019)
    URL: lizenzpflichtig
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    Python for finance : mastering data-driven finance (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Finance ; Computer programs ; Finance ; Statistical methods ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
    Note: Previous edition published: 2014. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed June 12, 2019)
    URL: lizenzpflichtig
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    Stream processing with Apache Flink : fundamentals, implementation, and operation of streaming applications (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Apache Flink ; Streaming technology (Telecommunications) ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Get started with Apache Flink, the open source framework that powers some of the world's largest stream processing applications. With this practical book, you'll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing. Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink's DataStream API and continuously run and maintain these applications in operational environments. Stream processing is ideal for many use cases, including low-latency ETL, streaming analytics, and real-time dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and IoT data, as soon as you generate them. Learn concepts and challenges of distributed stateful stream processing Explore Flink's system architecture, including its event-time processing mode and fault-tolerance model Understand the fundamentals and building blocks of the DataStream API, including its time-based and statefuloperators Read data from and write data to external systems with exactly-once consistency Deploy and configure Flink clusters Operate continuously running streaming applications
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 24, 2019)
    URL: lizenzpflichtig
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    Windows 10 May 2019 update : the missing manual (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Microsoft Windows (Computer file) ; Handbooks, manuals, etc ; Electronic books ; Electronic books ; local
    Abstract: The Windows 10 May 2019 Update adds a host of new and improved features to Microsoft's flagship operating system-and this jargon-free guide helps you get the most out of every component. This in-depth Missing Manual covers the entire system and introduces you to the latest features in the Windows Professional, Enterprise, Education, and Home editions. You'll learn how to take advantage of improvements to the Game Bar, Edge browser, Windows Online, smartphone features, and a lot more. Written by David Pogue-tech critic for Yahoo Finance and former columnist for The New York Times -this updated edition illuminates its subject with technical insight, plenty of wit, and hardnosed objectivity.
    Note: "The book that should have been in the box.". - Includes index. - Description based on online resource; title from title page (viewed June 3, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492057284/?ar
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    Fundamentals of data visualization : a primer on making informative and compelling figures (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information visualization ; Visual analytics ; Visualization ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book's visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492031079/?ar
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    Think Julia : how to think like a computer scientist (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Parallel Title: Erscheint auch als Lauwens, Ben Think Julia
    DDC: 005.73
    RVK:
    ST 250
    Keywords: Julia (Computer program language) ; Dynamic programming ; Electronic books ; Electronic books ; local ; Julia
    Abstract: If you're just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045021/?ar
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    R graphics cookbook : practical recipes for visualizing data (2019)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: 2nd edition.
    Keywords: R (Computer program language) ; Statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: This O'Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly-without having to comb through all the details of R's graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You'll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you're ready to get started with this easy-to-use reference. Use R's default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and more Provide annotations to help viewers interpret data Control the overall appearance of graphics Explore options for using colors in plots Create network graphs, heat maps, and 3D scatter plots Get your data into shape using packages from the tidyverse
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed May 31, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491978597/?ar
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    Securing web applications : building a strategy for defense against malicious bots (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Web applications ; Security measures ; Data protection ; Malware (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: Most enterprise applications today live on the network edge, right where attackers are focusing increasing attention and activities to gain access to your data. This practical report helps analyze your company's vulnerabilities to common web application security threats, such as malicious bots, application exploits, API attacks, DDoS attacks, and server-based malware. You'll learn proactive steps to implement services and strategies designed to protect online enterprise applications at the user edge. Authors Stephen Gates, edge security evangelist and SME at Oracle Dyn, and Allan Liska, threat intelligence architect at Recorded Future, explore how advanced DNS services, web application firewall (WAF) services, bot management, API security, DDoS defenses, and malware protection solutions combine to protect your sites and applications from malicious attacks and bad actors. Understand the current web application threats landscape Prioritize availability, confidentiality, and integrity and manage associated security risks Explore the role of DNS in maintaining availability Learn how to approach cloud-based web application security Plan your strategy with a web application security checklist
    Note: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492040279/?ar
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    Java in a nutshell (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Seventh edition.
    Keywords: Java (Computer program language) ; Web servers ; Object-oriented programming (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: This updated edition of Java in a Nutshell not only helps experienced Java programmers get the most out of Java versions 9 through 11, it's also a learning path for new developers. Chock full of examples that demonstrate how to take complete advantage of modern Java APIs and development best practices, this thoroughly revised book includes new material on Java Concurrency Utilities. The book's first section provides a fast-paced, no-fluff introduction to the Java programming language and the core runtime aspects of the Java platform. The second section is a reference to core concepts and APIs that explains how to perform real programming work in the Java environment. Get up to speed on language details, including Java 9-11 changes Learn object-oriented programming, using basic Java syntax Explore generics, enumerations, annotations, and lambda expressions Understand basic techniques used in object-oriented design Examine concurrency and memory, and how they're intertwined Work with Java collections and handle common data formats Delve into Java's latest I/O APIs, including asynchronous channels Use Nashorn to execute JavaScript on the Java Virtual Machine Become familiar with development tools in OpenJDK
    Note: Includes index. - Description based on online resource; title from title page (viewed February 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492037248/?ar
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    Data as a feature : a guide for product managers (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic data processing ; Online information services ; Business ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Business applications are evolving and user expectations for quality, easy-to-use software is at an all-time high. The consumerization of applications is making the role of product managers more difficult than ever. How do you build products or services that meet demands for both power and simplicity? Companies are now gaining competitive advantage by providing intuitive application experiences that help users achieve goals. The best applications-the ones that stick-are those that empower users to realize the full value of their data. In this book, we explore how treating data as a feature can help product managers create indisposable applications that help users solve their most critical goals. Understand your users' goals, the data they'll need to achieve them, where the data comes from, and how to visualize data effectively Use personas to help you keep users in mind when making critical development and design decisions Provide an interwoven data experience by immersing reports, dashboards, and visualizations into your applications Make your data "over-the-counter" so that you and your users can accurately and easily interpret it Learn how to manage your data roadmap and handle requests for additional features
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492025368/?ar
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    Data science on the Google Cloud Platform : implementing end-to-end real-time data pipelines : from ingest to machine learning (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Google (Firm) ; Cloud computing ; Computing platforms ; Electronic books ; Electronic books ; local
    Abstract: Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You'll learn how to: Automate and schedule data ingest, using an App Engine application Create and populate a dashboard in Google Data Studio Build a real-time analysis pipeline to carry out streaming analytics Conduct interactive data exploration with Google BigQuery Create a Bayesian model on a Cloud Dataproc cluster Build a logistic regression machine-learning model with Spark Compute time-aggregate features with a Cloud Dataflow pipeline Create a high-performing prediction model with TensorFlow Use your deployed model as a microservice you can access from both batch and real-time pipelines
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed December 18, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491974551/?ar
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  • 48
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    macOS High Sierra : the missing manual : the book that should have been in the box (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Mac OS ; Operating systems (Computers) ; Macintosh (Computer) ; Electronic books ; Electronic books ; local
    Abstract: With High Sierra, Apple has taken its macOS operating system to new heights. From Apple's efficient new file system to improved video streaming and support for virtual reality, this latest macOS version provides features improve your experience. And once again, David Pogue brings his humor and expertise to the #1 bestselling Mac book. Whether you're a developer or a home-user, this guide offers a wealth of detail on Apple's macOS 10.13 operating system, this new edition covers everything High Sierra has to offer. Perfect for newcomers. Get crystal-clear, jargon-free introductions to the best and brightest macOS apps, including Siri, Safari, iCloud, FaceTime, and AirDrop. Get the whole picture. Learn more efficient ways to navigate, organize, and edit your photos with new features in the Photos app. Go in-depth. Take advantage of Apple's new graphics technology, and its support for virtual reality. Gain real insight. David Pogue doesn't just tell you how to use macOS features. You'll also learn why to use them-and how to avoid common pitfalls.i
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed February 27, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492031994/?ar
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    Designing distributed systems : patterns and paradigms for scalable, reliable services (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic data processing ; Distributed processing ; System design ; Application program interfaces (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns-Director of Engineering at Microsoft Azure-demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed February 26, 2018)
    URL: lizenzpflichtig
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  • 50
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    Continuous delivery with Spinnaker : fast, safe, repeatable multi-cloud deployments (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Business enterprises ; Computer networks ; Management ; Information technology ; Management ; Application software ; Development ; Computer networks ; Management ; Electronic books ; Electronic books ; local
    Abstract: Many companies are moving away from "big bang" software releases every six months or so to a continuous delivery (CD) model that enables IT to release updates frequently, sometimes even several times a day. Using Netflix and its open source Spinnaker CD platform as examples, this practical ebook demonstrates how a new host of tools can help you deploy software changes to production quickly, safely, and automatically. A team of experts from Netflix and Google show you how to automate deployments with Spinnaker across multiple cloud accounts, regions, and even multiple cloud platforms into continuous deployment pipelines. You'll learn how Spinnaker enables your company to design and automate a delivery process that fits not only your release cadence but also the business criticality of your application. Learn about the organizational and technical practices that enable continuous delivery Understand the fundamental issues you need to solve before successfully deploying software to the cloud Manage cloud resources for consistency across accounts, regions, and cloud providers Use Spinnaker's pipelines to structure deployments from customizable pieces Understand how CD pipelines to Kubernetes differ from pipelines to VM-based clouds Examine how Spinnaker ensures safety across cluster deployments and pipeline executions Learn how to integrate automated testing techniques such as chaos engineering and automated canary analysis into the delivery process
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed September 12, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492035527/?ar
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    The making of an Agile leader : you must be agile to do Agile (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Industrial management ; Business planning ; Agile software development ; Leadership ; Electronic books ; Electronic books ; local
    Abstract: Going digital is essential for companies looking to survive and thrive in today's global economy, but many organizations lack the leadership necessary to launch an ambitious digital transformation. With this report, you'll learn how thinking based on Agile software development can help you foster a customer-focused digital mindset- if senior leaders are ready to assume a major role in cultivating the transition. Agile puts customers first, fosters innovation, and supports revenue-based thinking. But leadership is key. Author Jean Dahl explains how agile organizations embrace a servant leadership style that emphasizes teamwork, collaboration, and unwavering management support-in contrast to the command-and-control leadership that dominates the enterprise. This report shows business leaders how to cast off the chains of old structures and outdated ways of working to help lead your company through this digital transition. This report helps you: Understand how Agile's values, principles, and methods enable teams to respond quickly to changing conditions Learn the difference between being agile and doing Agile Examine the 15 traits that characterize a servant leader, including leading by example and inspiring action through vision and purpose Explore these leadership traits through a series of illuminating stories Learn five steps for building a culture of servant leadership in your agile organization
    Note: Includes bibliographical references. - Description based on online resource; title from title page (viewed January 15, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492027980/?ar
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    Embracing Offline first : designing for the next web paradigm (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: It's time to stop treating loss of connectivity as an error state in your web apps. Whether your users are boarding a flight, landing in a country with no local data plan, hiking, or commuting in the metro, offline and poor connectivity are inevitable states in your apps-states you need to plan for. As you develop for an increasingly mobile world, you need to stop treating connectivity loss as an error state in web apps and start thinking offline-first. In this excerpt from Building Progressive Web Apps , author Tal Ater shows you how to plan and implement an effective offline-first strategy. By exploring code examples for a fictitious hotel web page, you'll learn how to work through several common caching problems. This ebook also includes examples of real-world offline-first approaches at Twitter and The Washington Post . Learn some of the more common design patterns used for caching Mix and match patterns to create new methods for caching and serving content Weigh several options when choosing a caching strategy for your web app Learn methods for implementing the caching strategy you choose Explore different approaches for caching and serving a dynamic web app Understand how an offline-first approach dramatically improves the experience for connected users
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492027256/?ar
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    Reducing MTTD for high-severity incidents : a how-to guide for SREs (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    ISBN: 9781491951187 , 1491951184
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Reliability (Engineering) ; Computer engineering ; Electronic books ; Electronic books ; local
    Abstract: For companies such as Amazon, Dropbox, and Gremlin, the term high severity incident (SEV) signifies drops in network availability, product feature issues, data loss, revenue loss, and security risks. These high-impact bugs occur when coding, automation, testing, and other engineering practices create issues that eventually reach the customer-issues that can exist without detection for hours, days, weeks, and even years. With this in-depth ebook, SREs, SRE managers, VPs of engineering, and CTOs will learn powerful methods for reducing MTTD through incident classification and leveling, tooling, monitoring, KPI metrics, alerting, observability, and chaos engineering. The authors share real-life experiences to explain how they achieved MTTD reduction results for companies including Gremlin, LinkedIn, Twitter, Amazon Web Services, Fuzzbox, and Samba TV. This ebook dives into: Incident classification: SEV descriptions and levels, and SEV and time-to-detection (TTD) timelines Organization-wide critical service monitoring, including key dashboards and KPI metrics emails Service ownership and metrics for organizations maintaining a microservice architecture Effective on-call principles for site reliability engineers, including rotation structure, alert threshold maintenance, and escalation practices Chaos engineering practices to identify random and unpredictable behavior in your system Monitoring and metrics to detect incidents caused by self-healing systems Creating a high-reliability culture by listening to people in your organization
    Note: Includes bibliographical references. - Description based on online resource; title from title page (viewed February 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046202/?ar
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    Edge resiliency : managing volatility through DNS (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Information technology ; Management ; Systems availability ; Electronic information resources ; Management ; Electronic books ; Electronic books ; local
    Abstract: For companies that deliver services and gather data at the edge of their networks, an infrastructure resilience strategy is essential. IT departments within many medium to large enterprises today rely on third-party cloud or data center providers to help manage traffic and workloads across multicloud environments, content delivery networks (CDNs), and data centers. But those providers are also already busy managing internet issues for thousands of customers. In this practical ebook, Gary Sloper of Oracle Dyn and Mark Wilkins of Global Knowledge explain proactive steps you can take to ensure resiliency against unplanned events at the network edge. IT directors and managers will learn how to balance workloads and optimize performance to counter volatility sources, such as internet threats, equipment failure, network congestion, and weather-related outages. The ebook also examines ways to steer traffic more efficiently and strengthen your security posture within a hybrid or multicloud environment. This ebook will help you: Recognize the uncontrollable and unpredictable factors that contribute to internet volatility Understand the characteristics of a resilient infrastructure built to withstand volatility threats Learn how managed DNS infrastructure can strengthen edge resiliency performance, availability, and security Examine intelligent DNS-based edge services such as active failover, federated traffic steering, load balancing, and path optimization
    Note: Includes bibliographical references. - Description based on online resource; title from title page (viewed November 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492040392/?ar
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    Cleaning up the data lake with an operational data hub (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Database management ; Information storage and retrieval systems ; Electronic data processing ; Big data ; Electronic books ; Electronic books ; local
    Abstract: The data lake was once heralded as the answer to the flood of big data that arrived in a variety of structured and unstructured formats. But, due to the ease of integration and the lack of governance, data lakes in many companies have devolved into unusable data swamps. This short ebook shows you how to solve this problem using an Operational Data Hub (ODH) to collect, store, index, cleanse, harmonize, and master data of all shapes and formats. Gerhard Ungerer-CTO and co-founder of Random Bit LLC-explains how the ODH supports transactional integrity so that the hub can serve as integration point for enterprise applications. You'll also learn how the ODH helps you leverage the investment in your data lake (or swamp), so that the data trapped there can finally be ingested, processed, and provisioned. With this ebook, you'll learn how an ODH: Allows you to focus on categorizing data for easy and fast retrieval Provides flexible storage models, indexing support, query capabilities, security, and a governance framework Delivers flexible storage models; support for indexing, scripting, and automation; query capabilities; transactional integrity; and security Includes a governance model to help you access, ingest, harmonize, materialize, provision, and consume data
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492027386/?ar
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    Changing realities for business : new AR tools for your technology stack and ways to approach blended reality integration (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Augmented reality ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Augmented reality helps you bring digital information into the physical world, while blending the two in new ways. AR has finally developed to the point of usability, and (as some corporations are proving), it has potential value for any technology stack. With this practical ebook, you'll gain a fresh and broader look at AR. How does this technology integrate with your company? How do you sell it in? What's going on outside of industry that will determine how AR develops? Author Leah Hunter explores the big ideas, emerging trends, and most interesting advances in AR industry, education, and retail. Along with basic technical experience, this ebook includes interviews with 23 notable AR-focused developers, investors, artists, and explorers who examine how AR interweaves with business and with life. If you're building an AR solution, or want to pursue an AR career, this guide provides: A deeper awareness of the ideas, emerging trends, and advances in AR, both technical and non-technical Case studies and interviews that reveal insider-information about how companies are thinking about and using AR Ideas for building a smart business strategy as AR becomes used more broadly Technical knowledge on how to build content for service-focused AR Ways to think about AR-as a technologist and a human-including ethical questions about using and building the technology
    Note: Description based on online resource; title from title page (Safari, viewed March 29, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491997109/?ar
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    Web scraping with Python : collecting more data from the modern web (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Data mining ; Automatic data collection systems ; Electronic books ; Electronic books ; local
    Abstract: If programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web. Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the server's response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario you're likely to encounter. Parse complicated HTML pages Develop crawlers with the Scrapy framework Learn methods to store data you scrape Read and extract data from documents Clean and normalize badly formatted data Read and write natural languages Crawl through forms and logins Scrape JavaScript and crawl through APIs Use and write image-to-text software Avoid scraping traps and bot blockers Use scrapers to test your website
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed March 29, 2018)
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    Machine learning and security : protecting systems with data and algorithms (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Computer security ; Electronic books ; Electronic books ; local
    Abstract: Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you'll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (viewed March 12, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491979891/?ar
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  • 59
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    Threat intelligence in practice : a practical guide to threat intelligence from successful organizations (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer networks ; Security measures ; Computer crimes ; Investigation ; Business enterprises ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Many organizations are discovering that traditional security tools alone aren't enough to protect their networks. In this practical report, you'll explore threat intelligence, a method for collecting information on various forms of malicious cyber activity as a way to bolster your in-house measures. Author Allan Liska, security architect at Recorded Future, takes you through the threat intelligence cycle and explains what is required to put together an effective threat intelligence program for your company. Backed by case studies of several organizations that have successfully implemented these initiatives, this report explains that threat intelligence is actionable external information that, when correlated against internal data, can be used to detect or prevent an attack. You'll understand how threat intelligence enables you to stay abreast of current as well as future threats. Understand exactly what threat intelligence is, and how to correlate it to internal events Collect and apply threat intelligence, gain feedback, and incorporate feedback into your own threat intelligence cycle Examine tactical, operational, and strategic intelligence, and ensure that the right information gets to the right people Get practical examples from several organizations that have correctly implemented threat intelligence programs
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049302/?ar
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    Fast data architectures for streaming applications : getting answers now from data sets that never end (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Service-oriented architecture (Computer science) ; Application software ; Development ; Data mining ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? In the updated edition of this report, Dean Wampler examines the rise of streaming systems for handling time-sensitive problems-such as detecting fraudulent financial activity as it happens. You'll explore the characteristics of fast data architectures, along with several open source tools for implementing them. Batch processing isn't going away, but exclusive use of these systems is now a competitive disadvantage. You'll learn that, while fast data architectures using tools such as Kafka, Akka, Spark, and Flink are much harder to build, they represent the state of the art for dealing with mountains of data that require immediate attention. Learn how a basic fast data architecture works, step-by-step Examine how Kafka's data backplane combines the best abstractions of log-oriented and message queue systems for integrating components Evaluate four streaming engines, including Kafka Streams, Akka Streams, Spark, and Flink Learn which streaming engines work best for different use cases Get recommendations for making real-world streaming systems responsive, resilient, elastic, and message driven Explore an example IoT streaming application that includes telemetry ingestion and anomaly detection
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 30, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046820/?ar
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    AI and analytics in production : how to make it work (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Real-time data processing ; Electronic data processing ; Distributed processing ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: If you've begun to deploy large-scale data systems into production, or have at least explored the process, this practical ebook shows business team leaders, business analysts, and technical developers how to make your big data analytics, machine learning, and AI initiatives production ready. Authors Ted Dunning and Ellen Friedman provide a non-technical guide to best practices for a process that can be quite challenging. Rather than provide a complex review of tools, this ebook explores fundamental ideas on how to make your analytics production easier and more effective, based on the authors' observations across a wide range of industries. Whether your organization is just getting started or already has data-driven applications in production, you'll find helpful content that will help you succeed.. Gain an understanding of the goals, challenges, and potential pitfalls of deploying analytics and AI to production Learn the best way to design, plan, and execute large data systems in production Focus on the special case of machine learning and AI in production Examine MapR, a data platform with the technical capabilities to support emerging trends for large-scale data Explore a range of design patterns that work well for production customers across various sectors Get best practices for avoiding various gotchas as you move to production
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed November 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492044116/?ar
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    Continuous API management : making the right decisions in an evolving landscape (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application program interfaces (Computer software) ; Application software ; Development ; Internet programming ; Electronic books ; Electronic books ; local
    Abstract: A lot of work is required to release an API, but the effort doesn't always pay off. Overplanning before an API matures is a wasted investment, while underplanning can lead to disaster. This practical guide provides maturity models for individual APIs and multi-API landscapes to help you invest the right human and company resources for the right maturity level at the right time. How do you balance the desire for agility and speed with the need for robust and scalable operations? Four experts from the API Academy show software architects, program directors, and product owners how to maximize the value of their APIs by managing them as products through a continuous life cycle. Learn which API decisions you need to govern and how and where to do so Design, deploy, and manage APIs using an API-as-a-product (AaaP) approach Examine ten pillars that form the foundation of API product work Learn how the continuous improvement model governs changes throughout an API's lifetime Explore the five stages of a complete API product life cycle Delve into team roles needed to design, build, and maintain your APIs Learn how to manage your API landscape-the set of APIs published by your organization
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 14, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492043546/?ar
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    Kubernetes in the enterprise : deploying and operating production applications on Kubernetes in hybrid cloud environments (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Electronic data processing ; Distributed processing ; Application software ; Development ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: Kubernetes is quickly changing the way organizations deliver applications. Broadly supported by the community and a growing list of vendors, this open source platform has become a core component in the digital transformation of enterprises worldwide. Getting started with this container orchestration system can be tricky, but with this practical ebook, developers and operators will learn how to use Kubernetes to deliver existing applications-or more resilient cloud-native applications-with speed and efficiency. Brad Topol, Jake Kitchener, and Michael Elder from IBM show you how to run stateful workloads on Kubernetes to transform the way you manage your core enterprise middleware. You'll also learn how to configure security policies, manage auto-scaling, and integrate storage into your cluster. If you're new to Kubernetes, you'll gain a solid understanding of the system's fundamental concepts. Experienced users will focus on ways to create enterprise quality Kubernetes applications in private, public, and hybrid cloud environments. Get started with Kubernetes and enter the brave new world of automated container deployment, scaling, and management. This ebook shows you how. Explore Kubernetes architecture, deployment options, and core concepts such as Pods, ReplicaSets, and Services Dive into advanced capabilities such as load balancing, volume support, and configuration primitives Create an example enterprise-level production application, complete with microservices, namespaces, a database, and a web frontend Learn how container images and Kubernetes support DevOps and continuous delivery principles Focus on application operations such as microservices health management and log collection and analysis Learn why hybrid cloud environments are ideal for transitioning operations from on-premises to the cloud
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 7, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492043270/?ar
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    What is DevOps? (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Information technology ; Management ; Organizational change ; Business enterprises ; Computer networks ; Management ; Teams in the workplace ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: As a cross between "development" and "operations," DevOps describes a relatively new way to build and deploy software. But it also defines the collaborative inter-team culture at the heart of the process. This article explains how DevOps can foster trust among individuals and teams throughout your organization.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492039891/?ar
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    Foundations for architecting data solutions : managing successful data projects (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Big data ; Database management ; Electronic books ; Electronic books ; local
    Abstract: While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects. Everyone from CIOs and COOs to lead architects and developers will explore a variety of big data architectures and applications, from massive data pipelines to web-scale applications. Each chapter addresses a piece of the software development life cycle and identifies patterns to maximize long-term success throughout the life of your project. Start the planning process by considering the key data project types Use guidelines to evaluate and select data management solutions Reduce risk related to technology, your team, and vague requirements Explore system interface design using APIs, REST, and pub/sub systems Choose the right distributed storage system for your big data system Plan and implement metadata collections for your data architecture Use data pipelines to ensure data integrity from source to final storage Evaluate the attributes of various engines for processing the data you collect
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
    URL: lizenzpflichtig
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    How voice technologies enhance the customer experience (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Natural language processing (Computer science) ; Speech processing systems ; Customer relations ; Management ; Customer services ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Whether it's for searching, shopping, getting directions, or playing games, many people today are happy to talk to their devices. A new generation of voice interfaces is offering a new way to perform everyday tasks through a personal connection that's decidedly more human. Tasks such as bank transactions, turning on/off devices and appliances in your house, or even talking to your mirror (yes, there's product for that). This article explains why now is the time to explore ways that voice can enhance your product's user experience-while so many options are still wide open. Matthew Edgar takes you through voice's sudden growth phase and explains how it's inspired many companies to investigate this technology. Are there ways that voice could make interacting with your product more convenient? And more personal?
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 30, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492039044/?ar
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    Effective feature management : releasing and operating software in the age of continuous delivery (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Feature flags give software organizations the power to reduce risk, iterate more quickly, and gain more control. This practical ebook explains how feature flags let you decouple feature rollout from code deployment-so you can control who sees what when, independent of release. John Kodumal, cofounder and CTO of the leading feature management platform LaunchDarkly, shows you how feature flags fit into your process, including how to combine them with blue-green deployments and branching. Ideal for developers, ops personnel, designers, product managers, and marketers, this guide teaches you how feature flags can unlock the true power of your software and enable you to deliver better results for your customers. You'll learn: How feature flags provide a decision point in your code that can change the behavior of your application Feature management use cases, including progressive delivery, infrastructure migrations, and experimentation and testing Best practices for incorporating feature management into your development process Requirements and considerations for selecting an enterprise-grade feature management platform How companies already using feature flags can apply advanced use cases, such as database migration
    Note: Description based on online resource; title from title page (Safari, viewed March 28, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038177/?ar
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    Designing fast data application architectures (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Real-time data processing ; Computer network architectures ; Electronic books ; Electronic books ; local
    Abstract: Today's digital companies demand real-time insights and immediate action for everything from purchase to fulfillment, recommendation, and more. As a result, many organizations are adopting fast data applications to accelerate the value they extract from data as it flows into the system. With this practical ebook, you'll learn the common architectural patterns that form the foundation of successful fast data deployments. Engineers from Lightbend identify the key characteristics of fast data architectures, separate them into functional blocks, and show you how to implement those functions using components like those in the SMACK stack-Spark, Mesos, Akka, Cassandra, and Kafka, as well as others. Architects will learn how to choose, combine, and run SMACK stack technologies to build resilient, scalable, and responsive systems that your company requires. This ebook examines: The anatomy of fast data applications: the application model, streaming data sources, processing engines, and data sinks Functional composition of the SMACK stack and extensions The event backbone that connects all the major components of a fast data platform together Compute engines for transforming data into valuable insights Storage systems that form the transition between the fast data domain and client applications Patterns you can use in the data serving layer, including data-driven microservices Container orchestrators in the substrate layer that provide resources to services, frameworks, and applications
    Note: Description based on online resource; title from title page (Safari, viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038054/?ar
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    Load balancing in the cloud : practical solutions with NGINX and AWS (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Electronic data processing ; Distributed processing ; Web services ; Electronic books ; Electronic books ; local
    Abstract: Use of redundant servers has long been a solution for meeting sudden spikes in demand, machine failures, and outages. Cloud services greatly reduce the cost and hassle of provisioning redundant equipment and load balancers and give you the ability to deal with separate network, application, and client-side loads. But today there are many options to consider, and you have to determine which cloud service (or services) will meet your company's unique needs. With this ebook, author Derek DeJonghe from RightBrain Networks delivers a practical guide to load balancing services in the cloud. In this dynamic environment, where machines are frequently provisioned and decommissioned to meet user demand, you need a load balancer that can intelligently distribute traffic. This ebook walks you through the several options, including the use of the NGINX software load balancer. Learn how load balancing capabilities have evolved in just the past few years Explore the features, portability, and scaling capacity of the NGINX software load balancer Learn solutions for automating load balancing over autoscaling applications Understand the advantages of using AWS's Network Load Balancer with NGINX Learn ways to monitor the AWS Network Load Balancer as well as NGINX and NGINX Plus deployments Use common practices for scaling and securing your application through infrastructure management practices and the NGINX Controller
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed July 24, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492038009/?ar
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    Hands-on unsupervised learning using Python : how to discover hidden patterns in unlabeled data (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Python (Computer program language) ; Machine learning ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Abstract: Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 1, 2019)
    URL: lizenzpflichtig
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    Prometheus up & running : infrastructure and application performance monitoring (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Prometheus (Computer file) ; Cloud computing ; Computer networks ; Monitoring ; Application software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Get up to speed with Prometheus, the metrics-based monitoring system used by tens of thousands of organizations in production. This practical guide provides application developers, sysadmins, and DevOps practitioners with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters. This open source system has gained popularity over the past few years for good reason. With its simple yet powerful data model and query language, Prometheus does one thing, and it does it well. Author and Prometheus developer Brian Brazil guides you through Prometheus setup, the Node exporter, and the Alertmanager, then demonstrates how to use them for application and infrastructure monitoring. Know where and how much to apply instrumentation to your application code Identify metrics with labels using unique key-value pairs Get an introduction to Grafana, a popular tool for building dashboards Learn how to use the Node Exporter to monitor your infrastructure Use service discovery to provide different views of your machines and services Use Prometheus with Kubernetes and examine exporters you can use with containers Convert data from other monitoring systems into the Prometheus format
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 22, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492034131/?ar
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    Python vs. Go (2018)
    Sebastopol, CA : O'Reilly Media
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    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Python (Computer program language) ; Go (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Comparing Python with Go is a bit like comparing an SUV with a sports car: they were created to serve different needs. Thanks to their simple syntax and careful design, you will probably find Python and Go easier to learn and use than other mainstream languages that you might have already studied. Given their gentle learning curve and phenomenal growth in several fields, getting to know them is a sound investment now.
    Note: Description based on online resource; title from title page (Safari, viewed July 11, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033172/?ar
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    An introduction to machine learning interpretability : an applied perspective on fairness, accountability, transparency, and explainable AI (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate but also makes their predictions difficult to understand. When accuracy outpaces interpretability, human trust suffers, affecting business adoption, regulatory oversight, and model documentation. Banking, insurance, and healthcare in particular require predictive models that are interpretable. In this ebook, Patrick Hall and Navdeep Gill from H2O.ai thoroughly introduce the idea of machine learning interpretability and examine a set of machine learning techniques, algorithms, and models to help data scientists improve the accuracy of their predictive models while maintaining interpretability. Learn how machine learning and predictive modeling are applied in practice Understand social and commercial motivations for machine learning interpretability, fairness, accountability, and transparency Explore the differences between linear models and more accurate machine learning models Get a definition of interpretability and learn about the groups leading interpretability research Examine a taxonomy for classifying and describing interpretable machine learning approaches Learn several practical techniques for data visualization, training interpretable machine learning models, and generating explanations for complex model predictions Explore automated approaches for testing model interpretability
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 17, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033158/?ar
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    Streaming change data capture : a foundation for modern data architectures (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer architecture ; Software architecture ; Electronic data processing ; Software engineering ; Big data ; Electronic books ; Electronic books ; local
    Abstract: There are many benefits to becoming a data-driven organization, including the ability to accelerate and improve business decision accuracy through the real-time processing of transactions, social media streams, and IoT data. But those benefits require significant changes to your infrastructure. You need flexible architectures that can copy data to analytics platforms at near-zero latency while maintaining 100% production uptime. Fortunately, a solution already exists. This ebook demonstrates how change data capture (CDC) can meet the scalability, efficiency, real-time, and zero-impact requirements of modern data architectures. Kevin Petrie, Itamar Ankorion, and Dan Potter-technology marketing leaders at Attunity-explain how CDC enables faster and more accurate decisions based on current data and reduces or eliminates full reloads that disrupt production and efficiency. The book examines: How CDC evolved from a niche feature of database replication software to a critical data architecture building block Architectures where data workflow and analysis take place, and their integration points with CDC How CDC identifies and captures source data updates to assist high-speed replication to one or more targets Case studies on cloud-based streaming and streaming to a data lake and related architectures Guiding principles for effectively implementing CDC in cloud, data lake, and streaming environments The Attunity Replicate platform for efficiently loading data across all major database, data warehouse, cloud, streaming, and Hadoop platforms
    Note: Description based on online resource; title from title page (Safari, viewed July 2, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492032526/?ar
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    The site reliability workbook : practical ways to implement SRE (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Reliability (Engineering) ; Computer engineering ; Electronic books ; Electronic books ; local
    Abstract: In 2016, Google's Site Reliability Engineering book ignited an industry discussion on what it means to run production services today-and why reliability considerations are fundamental to service design. Now, Google engineers who worked on that bestseller introduce The Site Reliability Workbook , a hands-on companion that uses concrete examples to show you how to put SRE principles and practices to work in your environment. This new workbook not only combines practical examples from Google's experiences, but also provides case studies from Google's Cloud Platform customers who underwent this journey. Evernote, The Home Depot, The New York Times , and other companies outline hard-won experiences of what worked for them and what didn't. Dive into this workbook and learn how to flesh out your own SRE practice, no matter what size your company is. You'll learn: How to run reliable services in environments you don't completely control-like cloud Practical applications of how to create, monitor, and run your services via Service Level Objectives How to convert existing ops teams to SRE-including how to dig out of operational overload Methods for starting SRE from either greenfield or brownfield
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed August 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492029496/?ar
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    Learning Apache Drill : query and analyze distributed data sources with SQL (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Apache Hadoop ; File organization (Computer science) ; Querying (Computer science) ; SQL (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Get up to speed with Apache Drill, an extensible distributed SQL query engine that reads massive datasets in many popular file formats such as Parquet, JSON, and CSV. Drill reads data in HDFS or in cloud-native storage such as S3 and works with Hive metastores along with distributed databases such as HBase, MongoDB, and relational databases. Drill works everywhere: on your laptop or in your largest cluster. In this practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this powerful tool. Data scientists today spend about 80% of their time just gathering and cleaning data. With this book, you'll learn how Drill helps you analyze data more effectively to drive down time to insight. Use Drill to clean, prepare, and summarize delimited data for further analysis Query file types including logfiles, Parquet, JSON, and other complex formats Query Hadoop, relational databases, MongoDB, and Kafka with standard SQL Connect to Drill programmatically using a variety of languages Use Drill even with challenging or ambiguous file formats Perform sophisticated analysis by extending Drill's functionality with user-defined functions Facilitate data analysis for network security, image metadata, and machine learning
    Note: Includes index. . - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492032786/?ar
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    Implementing and scaling Agile in the enterprise : a goals-first approach (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Web site development ; Computer networks ; Scalability ; Agile software development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Agile transformation has become a big deal among enterprise organizations, even if the deal has proved difficult to close. Agile software development has long thrived among independent developers, but recently large organizations across all industries have begun agile programs-only to watch those initiatives run into obstacles and lose steam. In this concise report, author Matt LeMay discusses why agile transformations in the enterprise fail, and then examines a business-goals-first approach that can help your company move forward with agile. You'll learn best practices for taking the goals-first approach, including two methods for implementing and scaling your agile process-using top-down scaled agile frameworks, or bottom-up localized experiments. After presenting case studies from Coca Cola and Adobe, LeMay also addresses additional steps that your organization can take to "future-proof" your agile transformation efforts.
    Note: Description based on online resource; title from title page (Safari, viewed November 29, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781492025429/?ar
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    Scalable architecture for the internet of things : an introduction to data-driven computing platforms (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Internet of things ; Computer networks ; Scalability ; Electronic books ; Electronic books ; local
    Abstract: As a key part of the nascent fourth industrial revolution, the Internet of Things enables machine-to-machine and machine-to-person use cases on a massive scale. How do you connect and manage billions of distributed devices-in home appliances, manufacturing devices, or vehicles-and then transfer, store, and process all of the data these devices produce? That requires an efficient IoT platform. This report examines the key attributes of scalable IoT platforms, and provides criteria for evaluating various industrial platforms now available. Developers and architects will also get an overview of the IoT, including a look at the architecture of a data-driven solution, and a case study that examines the differences between a traditional power grid and an IoT-enabled smart grid. Authors Dejan Mijic, Draško Draškovic, and Ervin Varga help you evaluate four industrial IoT platforms, including two commercial products-Amazon Web Services (AWS) IoT and Microsoft Azure IoT Suite-and two open source products-Mainflux and EdgeX Foundry. Each IoT platform chapter provides: An overview of the platform architecture How to set up the ecosystem Event management and system dashboards The application integration layer Security considerations Building end-to-end example
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492024132/?ar
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    Patterns in Node package vulnerabilities : essential findings for busy developers (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Node.js ; Web applications ; Application software ; Development ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: With more than 500 new Node.js packages arriving each day, npm is the world's largest reusable package registry and the Node ecosystem's greatest strength. But as the number of detected vulnerabilities continues to rise significantly, the packages themselves are becoming a liability. This ebook shows application developers and penetration testers practical strategies for evaluating and working with today's npm packages. Author Chetan Karande ( Securing Node Applications ) analyzes package vulnerabilities found by security researchers and the Node community, including common coding mistakes behind the most severe and frequently found problems. While the database is by no means comprehensive due to the flood of new packages, these known vulnerabilities still provide a valuable guide to help you conduct a manual code review of npm packages. You'll examine the top Node package vulnerabilities, including: Insecure access to the filesystem that leads to directory traversal and symlink attacks Pitfalls that often cause Node developers to inadvertently expose sensitive data Denial-of-service attacks that can prevent legitimate users from accessing your service Cross-site scripting (XSS), a prevalent web application security flaw and frequently occurring vulnerability in Node packages Injection vulnerabilities that enable attackers to obtain, corrupt, or destroy server contents
    Note: Description based on online resource; title from title page (Safari, viewed June 22, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491999981/?ar
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  • 80
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    Creating a data-driven enterprise in media : DataOps insights from Comcast, SlingTV, and Turner Broadcasting (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cultural industries ; Data processing ; Information technology ; Management ; Decision making ; Data processing ; Big data ; Electronic books ; Electronic books ; local
    Abstract: The data-driven revolution is finally hitting the media and entertainment industry. For decades, broadcast television and print media relied on traditional delivery channels for solvency and growth, but those channels fragmented as cable, streaming, and digital devices stole the show. In this ebook, you'll learn about the trends, challenges, and opportunities facing players in this industry as they tackle big data, advanced analytics, and DataOps. You'll explore best practices and lessons learned from three real-world media companies-Sling TV, Turner Broadcasting, and Comcast-as they proceed on their data-driven journeys. Along the way, authors Ashish Thusoo and Joydeep Sen Sarma explain how DataOps breaks down silos and connects everyone who handles data, including engineers, data scientists, analysts, and business users. Big-data-as-a-service provider Qubole provides a five-step maturity model that outlines the phases that a company typically goes through when it first encounters big data. Case studies include: Sling TV: this live streaming content platform delivers live TV and on-demand entertainment instantly to a variety of smart televisions, tablets, game consoles, computers, smartphones, and streaming devices Turner Broadcasting System: this Time Warner division recently created the Turner Data Cloud to support direct-to-consumer services, including FilmStruck, Boom (for kids), and NBA League Pass Comcast: the largest broadcasting and cable TV company is building a single integrated big data platform to deliver internet, TV, and voice to more than 28 million customers
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491998007/?ar
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    What React is and why it matters : the business case for your frontend team and organization (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: User interfaces (Computer systems) ; Web site development ; Web applications ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: React quickly has become one of the most influential tools for web development and a compelling choice for many projects. The decision to use a new library such as React is critical to the way that teams function, so it's essential to get buy-in from everybody at the table, including team members who are not developers. Many excellent resources will teach you how to use React, but few get into just why this library matters. In this ebook, author Eric Baer examines React's core innovations with as little jargon as possible to help promote a diverse set of views in your conversations about technology. Any member of a technical team, from software engineers to program and product managers to technical management, can use this ebook to understand how the features and constraints of React and other development tools affect the way companies build modern web applications. You'll explore: How React's core components work How React uses tricks from game development to deliver runtime performance by default Why React's academic leanings have pushed the web development community to adopt cutting-edge techniques from computer science The challenges with using React on large projects Why React Native is pushing the limits of code reuse across web and native development boundaries
    Note: Description based on online resource; title from title page (Safari, viewed August 17, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491996744/?ar
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    Flask web development : developing web applications with Python (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Web applications ; Application software ; Development ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, you'll learn the framework from the ground up by developing, step-by-step, a real-world project created by author Miguel Grinberg. This refreshed edition accounts for important technology changes that have occurred in the past three years. You'll learn the framework's core functionality, as well as how to extend applications with advanced web techniques such as database migration and web service communication. The first part of each chapter provides you with reference and background for the topic in question, while the second part guides you though a hands-on implementation of the topic. If you have Python experience, this book shows you how to take advantage of the creative freedom Flask provides.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed March 19, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491991725/?ar
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  • 83
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    Introducing Istio service mesh for microservices : build and deploy resilient, fault-tolerant cloud-native applications (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Web applications ; Application software ; Development ; Cloud computing ; Electronic data processing ; Distributed processing ; Electronic books ; Electronic books ; local
    Abstract: Microservices fundamentally change the way you design enterprise software. By adding network dependencies to your application logic, you invite in a host of potential hazards that grow proportionally with the number of connections you make. With this practical ebook, DevOps teams will learn how to use the Istio service mesh to connect, manage, and secure microservices in order to create powerful cloud-native applications. Christian Posta and Burr Sutter from Red Hat introduce you to several key microservices capabilities that Istio provides on top of Kubernetes and OpenShift. You'll learn how your application can offload service discovery, load balancing, resilience, observability, and security to Istio so you can focus on differentiating business logic. You'll dive into Istio with detailed examples of: Traffic control: Examine Istio patterns including smarter canaries and dark launches Service resiliency: Discover how Istio provides load balancing, circuit breaking, and pool ejection Chaos testing: Test your system's ability to withstand turbulent conditions through fault injection Observability: Use tracing and metrics to learn the relationships between individual system components Security: Explore Istio's blacklist and whitelist security concepts
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed July 26, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491988770/?ar
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  • 84
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    Jenkins 2 up and running : evolve your deployment pipeline for next-generation automation (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Jenkins (Software development tool) ; Computer software ; Quality control ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Design, implement, and execute continuous delivery pipelines with a level of flexibility, control, and ease of maintenance that was not possible with Jenkins before. With this practical book, build administrators, developers, testers, and other professionals will learn how the features in Jenkins 2 let you define pipelines as code, leverage integration with other key technologies, and create automated, reliable pipelines to simplify and accelerate your DevOps environments. Author Brent Laster shows you how Jenkins 2 is significantly different from the more traditional, web-only versions of this popular open source automation platform. If you're familiar with Jenkins and want to take advantage of the new technologies to transform your legacy pipelines or build new modern, automated continuous delivery environments, this is your book. Create continuous delivery pipelines as code with the Jenkins domain-specific language Get practical guidance on how to migrate existing jobs and pipelines Harness best practices and new methods for controlling access and security Explore the structure, implementation, and use of shared pipeline libraries Learn the differences between declarative syntax and scripted syntax Leverage new and existing project types in Jenkins Understand and use the new Blue Ocean graphical interface Take advantage of the capabilities of the underlying OS in your pipeline Integrate analysis tools, artifact management, and containers
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed June 1, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491979587/?ar
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    Machine learning with Python cookbook : practical solutions from preprocessing to deep learning (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics. Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications. You'll find recipes for: Vectors, matrices, and arrays Handling numerical and categorical data, text, images, and dates and times Dimensionality reduction using feature extraction or feature selection Model evaluation and selection Linear and logical regression, trees and forests, and k-nearest neighbors Support vector machines (SVM), naïve Bayes, clustering, and neural networks Saving and loading trained models
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 19, 2018)
    URL: lizenzpflichtig
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    Deploying to OpenShift : a guide for busy developers (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (xiii, 145 pages) , illustrations
    Edition: First edition.
    Keywords: Web site development ; Web applications ; Development ; Computer programs ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Get an in-depth tour of OpenShift, the container-based software deployment and management platform from Red Hat that provides a secure multi-tenant environment for the enterprise. This practical guide describes in detail how OpenShift, building on Kubernetes, enables you to automate the way you create, ship, and run applications in a containerized environment. Author Graham Dumpleton provides the knowledge you need to make the best use of the OpenShift container platform to deploy not only your cloud-native applications, but also more traditional stateful applications. Developers and administrators will learn how to run, access, and manage containers in OpenShift, including how to orchestrate them at scale. Build application container images from source and deploy them Implement and extend application image builders Use incremental and chained builds to accelerate build times Automate builds by using a webhook to link OpenShift to a Git repository Add configuration and secrets to the container as project resources Make an application visible outside the OpenShift cluster Manage persistent storage inside an OpenShift container Monitor application health and manage the application lifecycle This book is a perfect follow-up to OpenShift for Developers: A Guide for Impatient Beginners (O'Reilly).
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed May 23, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491957158/?ar
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    Cloud native infrastructure : patterns for scalable infrastructure and applications in a dynamic environment (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Cloud computing ; Computer architecture ; Electronic books ; Electronic books ; local
    Abstract: Cloud native infrastructure is more than servers, network, and storage in the cloud-it is as much about operational hygiene as it is about elasticity and scalability. In this book, you'll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications. Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes. With this book, you will: Understand why cloud native infrastructure is necessary to effectively run cloud native applications Use guidelines to decide when-and if-your business should adopt cloud native practices Learn patterns for deploying and managing infrastructure and applications Design tests to prove that your infrastructure works as intended, even in a variety of edge cases Learn how to secure infrastructure with policy as code
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed November 7, 2017)
    URL: lizenzpflichtig
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    Learning PHP, MySQL & JavaScript : with JQuery, CSS & HTML5 (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fifth edition.
    Keywords: MySQL (Electronic resource) ; PHP (Computer program language) ; JavaScript (Computer program language) ; Web site development ; Web sites ; Design ; Electronic books ; Electronic books ; local
    Abstract: Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. In this update to this popular hands-on guide, you'll tackle dynamic web programming with the latest versions of today's core technologies: PHP, MySQL, JavaScript, CSS, HTML5, and key jQuery libraries. Web designers will learn how to use these technologies together and pick up valuable web programming practices along the way-including how to optimize websites for mobile devices. At the end of the book, you'll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. Explore MySQL, from database structure to complex queries Use the MySQLi extension, PHP's improved MySQL interface Create dynamic PHP web pages that tailor themselves to the user Manage cookies and sessions and maintain a high level of security Enhance the JavaScript language with jQuery and jQuery mobile libraries Use Ajax calls for background browser-server communication Style your web pages by acquiring CSS2 and CSS3 skills Implement HTML5 features, including geolocation, audio, video, and the canvas element Reformat your websites into mobile web apps
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed August 6, 2018)
    URL: lizenzpflichtig
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    Learning web design : a beginner's guide to HTML, CSS, JavaScript, and web graphics (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fifth edition.
    Keywords: Web sites ; Design ; Handbooks, manuals, etc ; HTML (Document markup language) ; Handbooks, manuals, etc ; XHTML (Document markup language) ; Handbooks, manuals, etc ; Cascading style sheets ; Electronic books ; local ; Electronic books
    Abstract: Do you want to build web pages but have no prior experience? This friendly guide is the perfect place to start. You'll begin at square one, learning how the web and web pages work, and then steadily build from there. By the end of the book, you'll have the skills to create a simple site with multicolumn pages that adapt for mobile devices. Each chapter provides exercises to help you learn various techniques and short quizzes to make sure you understand key concepts. This thoroughly revised edition is ideal for students and professionals of all backgrounds and skill levels. It is simple and clear enough for beginners, yet thorough enough to be a useful reference for experienced developers keeping their skills up to date. Build HTML pages with text, links, images, tables, and forms Use style sheets (CSS) for colors, backgrounds, formatting text, page layout, and even simple animation effects Learn how JavaScript works and why the language is so important in web design Create and optimize web images so they'll download as quickly as possible NEW! Use CSS Flexbox and Grid for sophisticated and flexible page layout NEW! Learn the ins and outs of Responsive Web Design to make web pages look great on all devices NEW! Become familiar with the command line, Git, and other tools in the modern web developer's toolkit NEW! Get to know the super-powers of SVG graphics
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed June 19, 2018)
    URL: lizenzpflichtig
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    Feature engineering for machine learning : principles and techniques for data scientists (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You'll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491953235/?ar
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    CSS : the definitive guide : visual presentation for the web (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fourth edition.
    Keywords: Cascading style sheets ; Web sites ; Design ; Electronic books ; Electronic books ; local
    Abstract: If you're a web designer or app developer interested in sophisticated page styling, improved accessibility, and saving time and effort, this book is for you. This revised edition provides a comprehensive guide to CSS implementation, along with a thorough review of the latest CSS specifications. CSS is a constantly evolving language for describing the presentation of web content on screen, printers, speech synthesizers, screen readers, and chat windows. It is used by all browsers on all screen sizes on all types of IoT devices, including phones, computers, video games, televisions, watches, kiosks, and auto consoles. Authors Eric Meyer and Estelle Weyl show you how to improve user experience, speed development, avoid potential bugs, and add life and depth to your applications through layout, transitions and animations, borders, backgrounds, text properties, and many other tools and techniques. This guide covers: Selectors, specificity, and the cascade Values, units, fonts, and text properties Padding, borders, outlines, and margins Colors, backgrounds, and gradients Floats and positioning tricks Flexible box layout The new Grid layout system 2D and 3D transforms, transitions, and animation Filters, blending, clipping, and masking Media and feature queries
    Note: Previous edition published: 2006. - Includes index. - Description based on online resource; title from title page (Safari, viewed October 20, 2017)
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    Building a modern security program : adapting security for DevOps and cloud (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Computer networks ; Security measures ; Computer networks ; Access control ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: .
    Note: Description based on online resource; title from title page (Safari, viewed August 15, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492044680/?ar
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    IPhone : the missing manual (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: Twelfth edition.
    Series Statement: Missing manual
    Keywords: iPhone (Smartphone) ; Handbooks, manuals, etc ; Cell phones ; Handbooks, manuals, etc ; Mobile computing ; Handbooks, manuals, etc ; Electronic books ; Electronic books ; local
    Abstract: The iPhone XS, XS Max, and XR aren't just faster and more powerful than ever-they're also better at all of the things you use an iPhone for. With the latest edition of this bestselling guide, you get a funny, gorgeously illustrated guide to the tips, shortcuts, and workarounds that will turn you into an iPhone master. This easy-to-use book will also get you up to speed on all iOS 12 features, including new Siri shortcuts, Group FaceTime, and improved parental controls. Missing Manual series creator and former New York Times columnist David Pogue helps you accomplish everything from web browsing to watching videos. You'll get up to speed on features such as Dual SIM Support that lets you use two lines on one phone and True Tone technology that adjusts the display to your environment. Pick up this beautiful full-color book and learn how to get the most out of your iPhone.
    Note: Includes index. - Description based on online resource; title from title page (viewed February 14, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492040439/?ar
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    Hacking web performance : moving beyond the basics of web performance optimization (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    ISBN: 9781492039419 , 1492039411
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Web sites ; Design ; Mobile apps ; Design ; Web sites ; Security measures ; Hacking ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: In spite of the many performance optimization techniques in use today, web developers face significant loading issues, particularly on the mobile web. Fortunately, there's much more you can do to increase your conversion rate in this constantly changing web landscape. With this practical ebook, web developer and trainer Max Firtman provides the latest tips, techniques, and best practices for hacking web performance. You'll learn how to improve everything from the initial load and data transfer to resource loading and the overall user experience. You'll start by reviewing a list of basic actions you should already be using, then dive into network performance hacking techniques with HTTP/2 Push and QUIC. This ebook also provides best practices for executing mobile loading and using JavaScript frameworks. Some hacks won't require much effort to implement, while others will involve architectural changes. Discover techniques for: Hacking the initial load: Reduce redirects and implement fast rendering techniques to keep the initial load to a minimum Hacking data transfer: Use readable streams, service workers, and other techniques to increase transfer speeds Hacking resource loading: Reduce loading times by using HTTP/2 Push, modern cache control, and other tools Hacking images and animations: Learn how responsive images, increased use of SVG, and new bitmap formats can improve performance Hacking user experience performance: Keep frame rate and feedback response times consistent in every interaction
    Note: Description based on online resource; title from title page (Safari, viewed July 3, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492039426/?ar
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  • 95
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    Understanding experimentation platforms : drive smarter product designs through online controlled experiments (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Mobile apps ; Time to market (New products) ; Computer software ; Testing ; Electronic books ; Electronic books ; local
    Abstract: Thanks to approaches such as continuous integration and continuous delivery, companies that once introduced new products every six months are now shipping software several times a day. Reaching the market quickly is vital today, but rapid updates are impractical unless they provide genuine customer value. With this ebook, you'll learn how online controlled experiments can help you gain customer feedback quickly so you can maintain a speedy release cycle. Using examples from Google, LinkedIn, and other organizations, Adil Aijaz, Trevor Stuart, and Henry Jewkes from Split Software explain basic concepts and show you how to build a scalable experimentation platform for conducting full-stack, comprehensive, and continuous tests. You'll learn practical tips on best practices and common pitfalls you're likely to face along the way. This ebook is ideal for engineers, data scientists, and product managers. Build an experimentation platform that includes a robust targeting engine, a telemetry system, a statistics engine, and a management console Dive deep into types of metrics, as well as metric frameworks, including Google's HEART framework and LinkedIn's 3-tiered framework Learn best practices for an building experimentation platform, such as A/A testing, power measuring, and an optimal ramp strategy Understand common pitfalls: how users are assigned across variants and control, how data is interpreted, and how metrics impact is understood
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 29, 2019)
    URL: lizenzpflichtig
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  • 96
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    Machine learning is changing the rules : ways business can utilize AI to innovate (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Artificial intelligence ; Business enterprises ; Technological innovations ; Electronic books ; Electronic books ; local
    Abstract: We live in a time of massive market disruption. On top of the long-running computer revolution, the business world is now faced with artificial intelligence, machine learning, and deep learning-part of the emerging fourth industrial revolution. This in-depth ebook provides practical advice for organizations looking to launch a machine-learning initiative, and explores use cases for six industries involved in AI and machine learning today. Author Peter Morgan, CEO of Data Science Partnership, takes you through three primary requirements for machine learning: sophisticated learning algorithms, dedicated hardware, and large datasets. Companies with big data strategies have already satisfied one condition, but any organization can jump into machine learning through a variety of open source and proprietary solutions. This ebook guides you through several options. You'll explore: How machine learning is transforming healthcare, finance, transportation, computer technology, energy, and science Use cases including self-driving cars, software development, genomics, blockchains, algorithmic trading, particle physics, and data center energy management Open source datasets and proprietary data sources for organizations that don't generate their own unique data A typical data science life cycle, from data collection to production and scale Examples of commercial off-the-shelf (COTS) and open source machine-learning solutions-and the pros and cons of each Open source deep learning frameworks such as TensorFlow, MXnet, and PyTorch AI as a Service providers including AWS, Google Cloud Platform, Azure, and IBM Cloud Disruptive technologies that are just beginning to emerge
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed July 26, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492035367/?ar
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  • 97
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    How a multi-cloud strategy enables digital transformation (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Having spent an estimated $1.2 trillion in 2017 alone, industries today are investing heavily in digital transformation technologies. Cloud providers are a key part of the investment, but many companies are finding that no single provider can meet the specific needs of every business. In this article, author Maliha Balala explains how a growing number of companies are covering all the bases by engaging more than one cloud provider. By choosing a multi-cloud approach, you can mix and match technologies and services from different providers to create the best possible solution for your company. Whether you want to spread workloads and data across multiple cloud platforms, mitigate risk, or enable specific business units to choose their ideal cloud service, this article shows you how this approach can help you migrate from your old model of customer engagement to a newer, digital-based strategy.
    Note: Description based on online resource; title from title page (Safari, viewed February 19, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033653/?ar
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  • 98
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    CSS pocket reference (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fifth edition.
    Keywords: Web sites ; Design ; Cascading style sheets ; Electronic books ; Electronic books ; local
    Abstract: When you're working with CSS and need an answer now, this concise yet comprehensive quick reference provides the essential information you need. Revised and updated for CSS3, this fifth edition is ideal for intermediate to advanced web designers and developers. You'll find a short introduction to the key concepts of CSS and alphabetical summaries of CSS selectors and properties. You'll also discover information on new properties, including grid, flexbox, clipping, masking, and compositing. Quickly find the information you need Explore CSS concepts, values, selectors and queries, and properties Learn how new features complement and extend your CSS practices Discover new properties including animations, grid, flexbox, masking, filtering, and compositing in this new edition
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed May 2, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033387/?ar
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  • 99
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    Thinking architecturally : lead technical change within your engineering team (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Technological innovations ; Management ; Information technology ; Management ; Computer architecture ; Electronic books ; Electronic books ; local
    Abstract: New software technology appears every year. Like clockwork, another language, library, pattern, or approach will arrive on the scene with plenty of hype and developer enthusiasm. As someone whose job requires making architectural decisions, you need to evaluate these new technologies with an eye toward the inevitable trade-offs before deciding if a new framework or language is right for your project. In this ebook, solution architect Nathaniel Schutta guides tech leads, practicing architects, and both senior and junior developers through the process of appraising promising new technologies. Recognizing how today's tech is informed by the past is a key part-some approaches that didn't work years ago might now have all the ingredients to succeed. You'll learn how to make effective decisions regarding the use of new tech solutions and explore the value of fitness functions to ensure that your ultimate choice is reflected in the codebase. Get guidelines, techniques, and advice for evaluating new tools and technologies Determine the unique needs of your project before deciding which technology to use Examine the codebase, documentation, testability, and other criteria when evaluating new tools Learn approaches for introducing new technology to skeptical people in your company and on your team Manage the quality attributes of your system once new technology is introduced Learn practical techniques to stay current in an ever-evolving industry
    Note: Description based on online resource; title from title page (Safari, viewed July 10, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492034421/?ar
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  • 100
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    Managing Kubernetes : operating Kubernetes clusters in the real world (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic data processing ; Distributed processing ; Application software ; Development ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: While Kubernetes has greatly simplified the task of deploying containerized applications, managing this orchestration framework on a daily basis can still be a complex undertaking. With this practical book, site reliability and DevOps engineers will learn how to build, operate, manage, and upgrade a Kubernetes cluster-whether it resides on cloud infrastructure or on-premises. Brendan Burns, cofounder of Kubernetes, and Craig Tracey, staff field engineer at Heptio, dissect how Kubernetes works internally and demonstrate ways to maintain, adjust, and improve the cluster to suit your particular use case. You'll learn how to make architectural choices for designing a cluster, managing access control, monitoring and alerting, and upgrading Kubernetes. Dive in and discover how to take full advantage of this orchestration framework's capabilities. Learn how your cluster operates, how developers use it to deploy applications, and how Kubernetes can facilitate a developer's job Adjust, secure, and tune your cluster by understanding Kubernetes APIs and configuration options Detect cluster-level problems early and learn the steps necessary to respond and recover quickly Determine how and when to add libraries, tools, and platforms that build on, extend, or otherwise improve a Kubernetes cluster
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 28, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492033905/?ar
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