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  • Sebastopol, CA : O'Reilly Media  (1,031)
  • Electronic books  (1,031)
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  • 1
    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
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    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.
  • 3
    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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    Online Resource
    MPI Ethno. Forsch.
  • 4
    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.
  • 5
    Online Resource
    Online Resource
    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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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    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
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    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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    Online Resource
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  • 8
    Online Resource
    Online Resource
    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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  • 9
    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
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    Online Resource
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  • 10
    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
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  • 11
    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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  • 12
    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
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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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  • 14
    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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  • 15
    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
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  • 16
    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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  • 17
    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
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    MPI Ethno. Forsch.
  • 18
    Online Resource
    Online Resource
    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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  • 19
    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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  • 20
    Online Resource
    Online Resource
    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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    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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  • 22
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    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
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  • 23
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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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  • 24
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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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  • 25
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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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  • 26
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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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  • 27
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    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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    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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  • 29
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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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    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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    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 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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    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
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    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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    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
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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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    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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    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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    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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    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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  • 41
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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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  • 42
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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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    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)
    URL: lizenzpflichtig
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    A developer's guide to building AI applications : create your first intelligent bot with Microsoft AI (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Artificial intelligence ; Computer programs ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: AI is accelerating the digital transformation for every industry, with examples ranging from manufacturing, retail, finance, healthcare, and many others. At this rate, every industry will be able to use AI to amplify human ingenuity. In this ebook, Joseph Sirosh, Corporate VP of Microsoft's Artificial Intelligence and Research group, provides developers with a comprehensive roadmap to creating your first AI-infused application. Using a Conference Buddy as an example, you'll learn the key ingredients needed to develop an intelligent chatbot that helps conference participants interact with speakers. This ebook provides a gentle introduction on how to leverage the tools, infrastructure, and services on the Microsoft AI Platform to create powerful, intelligent applications. Understand how the intersection of cloud, data, and AI is enabling organizations to build intelligent systems Learn the tools, infrastructure, and services available as part of the Microsoft AI Platform for developing AI applications Teach the Conference Buddy application new AI skills, using pre-built AI capabilities such as vision, translation, and speech Learn about the Open Neural Network Exchange (ONNX)
    Note: Description based on online resource; title from title page (viewed February 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492037835/?ar
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  • 46
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    Integration and the path to becoming a digital business : why and how to interconnect everything (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic commerce ; Business enterprises ; Computer networks ; Electronic books ; Electronic books ; local
    Abstract: In the race to compete in today's fast-moving markets, large enterprises are busy adopting new technologies for creating new products, processes, and business models. But one obstacle on the road to digital transformation is placing too much emphasis on technology, and not enough on the types of processes technology enables. What if different lines of business could build their own services and applications-and decision-making was distributed rather than centralized? This report explores the concept of a digital business platform as a way of empowering individual business sectors to act on data in real time. Much innovation in a digital enterprise will increasingly happen at the edge, whether it involves business users (from marketers to data scientists) or IoT devices. To facilitate the process, your core IT team can provide these sectors with the digital tools they need to innovate quickly. This report explores: Key cultural and organizational changes for developing business capabilities through cross-functional product teams A platform for integrating applications, data sources, business partners, clients, mobile apps, social networks, and IoT devices Creating internal API programs for building innovative edge services in low- code or no-code environments Tools including Integration Platform as a Service, Application Platform as a Service, and Integration Software as a Service The challenge of integrating microservices and serverless architectures An integration solution for a digital business platform that serves every audience in your organization
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492025320/?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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    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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    Vue.js up and running : building accessible and performant web apps (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Vue (Electronic resource) ; Web site development ; Web applications ; Development ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Get a brisk introduction to building fast, interactive single-page web applications with Vue.js, the popular JavaScript framework that organizes and simplifies web development. With this practical guide, you'll quickly move from basics to custom components and advanced features-including JSX, the JavaScript syntax extension. Author Callum Macrae shows you how to use the most useful libraries in the Vue ecosystem, such as vue-router for routing, vuex for state management, and vue-test-utils for testing. If you're a frontend developer familiar with JavaScript, HTML, and CSS, this book will show you how to develop a fully featured web application using Vue. Learn Vue.js basics, including its use of templates to display data on a page Set up Vue projects from scratch, or use vue-cli to set up from a template Create a maintainable codebase by splitting code into self-contained components Discover how Vue.js works with CSS to style your websites and applications Use render functions and JSX, rather than templates, to determine what Vue displays Control how code is executed and displayed with vue-router Manage state in one centralized place with the Vuex library Write unit tests to ensure your Vue components don't break in the future
    Note: Includes index. - Description based on online resource; title from title page (viewed April 26, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491997239/?ar
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    macOS Mojave : 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) ; Electronic books ; local ; Electronic books
    Abstract: Answers found here! Apple's latest Mac software, macOS Mojave, is a glorious boxcar full of new features and refinements. What's still not included, though, is a single page of printed instructions. Fortunately, David Pogue is back, delivering the expertise and humor that have made this the #1 bestselling Mac book for 18 years straight. The important stuff you need to know Big-ticket changes. The stunning new Dark Mode. Self-tidying desktop stacks. FaceTime video calls with up to 32 people. New screen-recording tools. If Apple has it, this book covers it. Apps. This book also demystifies the 50 programs that come with the Mac, including the four new ones in Mojave: News, Stocks, Home, and Voice Memos. Shortcuts. This must be the tippiest, trickiest Mac book ever written. Undocumented surprises await on every page. Power users. Security, networking, remote access, file sharing with Windows-this one witty, expert guide makes it all crystal clear. MacOS Mojave gives the Mac more polish, power, and pep- and in your hands, you hold the ultimate guide to unlocking its potential.
    Note: Includes index. - Description based on online resource; title from title page (viewed February 14, 2019)
    URL: lizenzpflichtig
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    What is Python? (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Why has Python become an essential tool for programmers, engineers, researchers, and data scientists across academia and industry? This programming language is known for its simplicity and beauty, as well as its large ecosystem of domain-specific tools such as NumPy, SciPy, and Pandas. If you're looking for a brief but comprehensive tour of Python and its capabilities, this article will help.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 24, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492039754/?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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    Should you containerize your Go code : containers help distribute, deploy, run and test your Golang projects (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Go (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Docker's catchphrase for its containers is compelling: "Build, Ship and Run Any App, Anywhere." Go already has some of those attributes built in, including cross-compilation and the production of single executable files without dependencies. Are there any reasons, then, for Go programmers to use containers to deploy code? In this lesson, veteran developer Liz Rice outlines several advantages that containers can provide for Go programmers-such as how they help you restrict the resources that your code can access, and how you can use them to run and test your software locally with other components. You'll then look at some cases where containers wouldn't add any benefit at all. As always, it's important to use the right tool for the job, and containers can offer advantages for Go programmers in the right circumstances. This lesson provides some helpful guidelines.
    Note: Description based on online resource; title from title page (Safari, viewed February 7, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492031512/?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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    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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    Product manager vs. project manager : what's the difference and which one do I need? (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Product management ; Project management ; Marketing ; Management ; Product life cycle ; Electronic books ; Electronic books ; local
    Abstract: Positions in product management are in high demand today for job seekers and companies alike, and yet there is much confusion in the market about what, exactly, this role is and does. Many conflate product management with project management, a much more familiar role. This ebook explains the distinction between product and project management for executives and hiring managers, including how these two roles often overlap and complement one another. Bruce McCarthy, CEO of UpUp Labs and President of the Boston Product Management Association, explains that while project managers are responsible for marshalling resources to deliver products on time and on budget, product managers are responsible for the entire lifecycle, from initial research to final product-including market analysis after the product is released. This ebook examines the responsibilities, skills, and expertise that define and differentiate product management and project management, and provides guidelines to help you determine which position best fits your needs.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492034452/?ar
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    Setting up your Go development docker environment (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: 1st edition.
    Keywords: Computer software ; Development ; Go (Computer program language) ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: Are you a Go programmer looking to introduce Docker containers into your workflow? In this lesson, you'll learn how to set up a containerized development environment that rebuilds Go code automatically as you edit it. You'll learn how to use tools such as Realize, and how to generate a small and efficient container image for production distribution using Docker Multistage Builds.
    Note: Description based on online resource; title from title page (viewed January 29, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491982297/?ar
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    Making data visual : a practical guide to using visualization for insight (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition
    Keywords: Information visualization ; Visual analytics ; Electronic books ; Electronic books ; local ; Daten ; Visualisierung
    Abstract: You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you're a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way. When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world. You'll learn: The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualization The role that visual representations play in data discovery Common visualization types by the tasks they fulfill and the data they use Visualization techniques that use multiple views and interaction to support analysis of large, complex data sets
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491960493/?ar
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    Securing microservice APIs : sustainable and scalable access control (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 ; Computer networks ; Security measures ; Business ; Data processing ; Security measures ; Software architecture ; Electronic books ; Electronic books ; local
    Abstract: There are several techniques for controlling access to web APIs in microservice architectures, ranging from network controls to cryptographic methods and platform-based capabilities. This short ebook introduces an API access control model that you can implement on a single platform or across multiple platforms to provide cohesive security across your network of microservices. Until now, speed of delivery rather than security has motivated organizations to adopt a microservices architecture. Authors Matt McLarty and Rob Wilson propose a vocabulary and model for logical and physical systems of microservices, review current practices for web API access control in a microservice architecture, and present DHARMA-a comprehensive, platform independent approach to API access control. This ebook is ideal for architects, product owners, development leaders, platform teams, and operational managers. This ebook includes: A platform-neutral overview of the microservices landscape Current network-, trust-, and platform-based security technologies and solutions that apply to microservice APIs The proposed DHARMA cross-platform model for securing microservice API access control A word on the future direction of microservice API security
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492027140/?ar
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  • 60
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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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    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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  • 62
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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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  • 63
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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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    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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    MarkLogic cookbook : querying, searching, and transforming data (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Non-relational databases ; Querying (Computer science) ; Information retrieval ; Database searching ; Electronic books ; Electronic books ; local
    Abstract: Learn how to get the most out of MarkLogic with recipes from people who understand this powerful multi-model database platform from the inside out. MarkLogic comes with a broad set of capabilities to help you quickly integrate data from silos, but it takes time to learn how to harness that power. In this three-part series, key members of the MarkLogic team-including engineers who built the database-provide targeted recipes to get you up to speed. In Part 1, you'll learn how to solve real-world problems with XQuery, the functional language for working with hierarchical data structures such as XML. Part 2 helps you solve common search-related problems with recipes that work with MarkLogic 9 as well as with older versions. With recipes in Part 3, you'll explore the multiple ways MarkLogic represents data. XQuery: Gain XQuery peak performance, and explore its use in maps, documents, document security, the task server, and administration Search-related problems: Conduct document searches, score search results, understand how data is used, and search with the Optic API MarkLogic and data: Work with input transformations, tokenization, template-driven extraction, and redaction
    Note: Description based on online resource; title from title page (viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491994610/?ar
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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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    Scaling data services with Pivotal GemFire : getting started with in-memory data grids (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Data curation ; Computer programs ; Electronic data processing ; Information storage and retrieval systems ; Electronic books ; Electronic books ; local
    Abstract: In-memory data grids (IMDG) such as Pivotal GemFire, which is powered by Apache Geode, are key to making today's modern high-speed, data-intensive applications work. By keeping data in the RAM of a horizontally scalable cluster of servers, IMDG solutions enable apps to achieve consistently low latency for data access at any scale. Many in the application development community, however, aren't aware of IMDG's benefits, use cases, or underlying technology. This report brings you up to speed by providing GemFire basics, including use cases and easily understood examples. You'll determine whether GemFire can benefit your application, and learn how to install a simple test environment and build a small proof of concept. Explore GemFire use cases for Java applications-including microservices, high-speed data ingest, and transaction and event processing Get an architectural overview of GemFire, and learn installation requirements for both hardware/VM and cloud Dive into GemFire's capabilities with continuous queries, server-side functions, and Apache Lucene integration Learn how GemFire works with the persistence model, off-heap memory, and WAN replication
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492027584/?ar
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    Getting started with Kudu : perform fast analytics on fast data (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Apache Hadoop ; Electronic data processing ; Distributed processing ; Big data ; Real-time data processing ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Fast data ingestion, serving, and analytics in the Hadoop ecosystem have forced developers and architects to choose solutions using the least common denominator-either fast analytics at the cost of slow data ingestion or fast data ingestion at the cost of slow analytics. There is an answer to this problem. With the Apache Kudu column-oriented data store, you can easily perform fast analytics on fast data. This practical guide shows you how. Begun as an internal project at Cloudera, Kudu is an open source solution compatible with many data processing frameworks in the Hadoop environment. In this book, current and former solutions professionals from Cloudera provide use cases, examples, best practices, and sample code to help you get up to speed with Kudu. Explore Kudu's high-level design, including how it spreads data across servers Fully administer a Kudu cluster, enable security, and add or remove nodes Learn Kudu's client-side APIs, including how to integrate Apache Impala, Spark, and other frameworks for data manipulation Examine Kudu's schema design, including basic concepts and primitives necessary to make your project successful Explore case studies for using Kudu for real-time IoT analytics, predictive modeling, and in combination with another storage engine
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491980248/?ar
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    Head first learn to code (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    ISBN: 9781491958834 , 1491958839
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: First edition.
    Series Statement: Head first
    Keywords: Python (Computer program language) ; Object-oriented programming (Computer science) ; Object-oriented programming languages ; Computer programming ; Electronic books ; Electronic books ; local
    Abstract: What will you learn from this book? It's no secret the world around you is becoming more connected, more configurable, more programmable, more computational. You can remain a passive participant, or you can learn to code. With Head First Learn to Code you'll learn how to think computationally and how to write code to make your computer, mobile device, or anything with a CPU do things for you. Using the Python programming language, you'll learn step by step the core concepts of programming as well as many fundamental topics from computer science, such as data structures, storage, abstraction, recursion, and modularity. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Learn to Code uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.
    Note: Includes index. - Description based on online resource; title from title page (viewed February 2, 2018)
    URL: lizenzpflichtig
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    How to choose a cloud provider : practical questions to help you make a decisions (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    ISBN: 9781492032892 , 1492032891
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Web services ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: If your organization is planning a move to the cloud this year, choosing a provider from among hundreds available can be the most difficult part. How do you narrow down the field? In this article, Jesse Anderson, managing director of the Big Data Institute, provides guidelines to help you find a cloud provider that meets your company's specific needs. Understanding your use case is key. Providers employ different technologies, and if your organization is tackling big data problems at scale, those differences can be critical. There are also logistical concerns: How difficult will it be to train your staff on the provider's technologies? Who in your company will be responsible for the many moving parts? How do you deal with vendor lock-in? With the guidelines in this article, you'll learn how to distinguish among the capabilities of various cloud providers and then fine-tune your decision process by homing in on questions related to your particular use case.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (viewed February 2, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492032908/?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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    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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    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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    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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    The enterprise path to service mesh architecture : decoupling at layer 5 (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer networks ; Management ; Computer architecture ; Electronic books ; Electronic books ; local
    Abstract: Whether you're preparing to build microservice-architected, cloud-native applications or looking to modernize your existing set of application services, you may want to consider using a service mesh. The more services your enterprise manages, the more intense your headaches are likely to be. This practical ebook explains how a service mesh provides a configurable infrastructure layer that makes service-to-service communication flexible, reliable, and fast. Author Lee Calcote, Head of Technology Strategy at SolarWinds, demonstrates how service meshes work and provides a path to help you build or convert applications using this architecture. This ebook is ideal for developers, operators, architects, and IT leaders tasked with building distributed systems. You'll learn how service meshes function with other technologies in your stack as well as how to overcome issues that may arise. You'll explore: Service mesh concepts, architecture, and components, such as control planes and data planes How a service mesh provides visibility, resiliency, traffic, and security control of distributed application services Differences among service meshes and service mesh components from Istio, Linkerd, Envoy, Conduit, and Consul Connect How service meshes compare to related technologies, including container orchestrators, API gateways, and client-side libraries Practical steps for service mesh adoption, deployment, customization, and integration
    Note: Description based on online resource; title from title page (viewed November 7, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492041795/?ar
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    Five principles for deploying and managing Linux in the cloud : with Azure (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Linux ; Windows Azure ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: A successful migration to the cloud can have a positive impact on the cost, ease of access, maintenance, scalability, elasticity, and versatility of your IT infrastructure. But the migration process itself can be demanding. In this practical ebook, author Sam Alapati examines five principles for deploying and managing your Linux-based system in the cloud. There are many half-baked truths and pitfalls in cloud computing, and without thorough assessments and planning, your migration can lead to excessive costs in time and money. Using examples from Azure Cloud Services and other providers, this ebook demonstrates best practices for moving your system out of your data center and into the cloud. DevOps engineers and system administrators also get a detailed overview of the various types of cloud services and deployments available. By learning these five cloud migration principles, your team will be able to: Assess and identify which Linux virtual machines are adaptable in the cloud Determine and plan for your workload's level of availability for new deployments Monitor your applications running on Linux across the entire stack Ensure your Linux virtual machines are secure and backed up Govern your cloud environment using policy management best practices
    Note: Description based on online resource; title from title page (Safari, viewed January 18, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492040934/?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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  • 78
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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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    Architecting data lakes : data management architectures for advanced business use cases (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Big data ; Database management ; Business enterprises ; Data processing ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Many organizations today are succeeding with data lakes, not just as storage repositories but as places to organize, prepare, analyze, and secure a wide variety of data. Management and governance is critical for making your data lake work, yet hard to do without a roadmap. With this ebook, you'll learn an approach that merges the flexibility of a data lake with the management and governance of a traditional data warehouse. Author Ben Sharma explains the steps necessary to deploy data lakes with robust, metadata-driven data management platforms. You'll learn best practices for building, maintaining, and deriving value from a data lake in your production environment. Included is a detailed checklist to help you construct a data lake in a controlled yet flexible way. Managing and governing data in your lake cannot be an afterthought. This ebook explores how integrated data lake management solutions, such as the Zaloni Data Platform (ZDP), deliver necessary controls without making data lakes slow and inflexible. You'll examine: A reference architecture for a production-ready data lake An overview of the data lake technology stack and deployment options Key data lake attributes, including ingestion, storage, processing, and access Why implementing management and governance is crucial for the success of your data lake How to curate data lakes through data governance, acquisition, organization, preparation, and provisioning Methods for providing secure self-service access for users across the enterprise How to build a future-proof data lake tech stack that includes storage, processing, data management, and reference architecture Emerging trends that will shape the future of data lakes
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 8, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492033004/?ar
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  • 80
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    Web application firewalls : securing modern web applications (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Firewalls (Computer security) ; Application software ; Development ; Computer networks ; Security measures ; Internet ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Firewalls have traditionally focused on network traffic, but with the advent of cloud computing and DevOps, security and operations professionals need a more sophisticated solution to track session state and application layer activity. In this ebook, cyber security consultant Chad Russell covers the current application threat landscape for modern deployment architectures, and explains the evolution of web application firewall (WAF) technologies for countering these attacks. Developers today increasingly rely on third-party libraries for application development, but many of these libraries include vulnerabilities that attackers actively exploit. With this ebook, you'll explore the specifics of WAF functionality for filtering, monitoring, and blocking HTTP traffic to and from a web application, and learn how to incorporate WAFs into existing and planned infrastructure, whether it's a cloud, on-premise, or hybrid deployment. You'll examine: The Top 10 application layer attacks compiled by the Open Web Application Security Project (OWASP) Security vulnerabilities, including business logic attacks, distributed denial of service, online fraud, social engineering, and malware WAF core and emergent capabilities, such as XSS and sessions attack protection, SIEM integration, and malware inspection and sandboxing Security solutions and technologies that work with WAF, including API gateways, and data loss prevention solutions
    Note: Description based on online resource; title from title page (Safari, viewed January 14, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492032311/?ar
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  • 81
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    Web performance and the customer experience (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Web sites ; Design ; Web site development ; Customer relations ; Management ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: IT executives in companies undergoing digital transformation have many stakeholders. Business units stress online sales, conversions, and self-service, while product owners push for new online features and products. Each group has its own key performance indicators (KPIs) for tracking progress. Yet, one leading indicator essential to the success of all of these other metrics-web performance-is often neglected. Yet it's the one area IT professionals directly control. In this article, professor and Comcast engineer Tom Barker explains how poor application performance can hinder your company's digital transformation. Customers quick to abandon slow-loading applications can be left with the impression that your site's problems are indicative of other offerings. You'll learn tips for addressing web performance on a large scale, including the recruitment of internal and external champions to help you set up processes and best practices for improving and maintaining your application's day-to-day performance.
    Note: Description based on online resource; title from title page (Safari, viewed January 11, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492030829/?ar
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  • 82
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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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    Product management in practice : a real-world guide to the key connective role of the 21st century (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Product management ; Marketing ; Management ; 21st century ; Electronic books ; Electronic books ; local
    Abstract: Product management has become a critical connective role for modern organizations, from small technology startups to global corporate enterprises. And yet the day-to-day work of product management remains largely misunderstood. In theory, product management is about building products that people love. The real-world practice of product management is often about difficult conversations, practical compromises, and hard-won incremental gains. In this book, author Matt LeMay focuses on the CORE connective skills-communication, organization, research, execution-that can build a successful product management practice across industries, organizations, teams, and toolsets. For current and would-be product managers, this book explores: Real-world tactics for facilitating collaboration and communication How to talk to users and work with executives The importance of setting clear and actionable goals Using roadmaps to connect and align your team A values-first approach to implementing Agile practices Stories that convey realities of product management in the field Common behavioral traps that turn good product managers bad
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 17, 2017)
    URL: lizenzpflichtig
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    Kubernetes cookbook : building cloud-native applications (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 ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: If your organization is preparing to move toward a cloud-native computing architecture, this cookbook shows you how to successfully use Kubernetes, the de-facto standard for automating the deployment, scaling, and management of containerized applications. With more than 80 proven recipes, developers, system administrators, and architects will quickly learn how to get started with Kubernetes and understand its powerful API. Through the course of the book, authors Sébastien Goasguen and Michael Hausenblas provide several detailed solutions for installing, interacting with, and using Kubernetes in development and production. You'll learn how to adapt the system to your particular needs and become familiar with the wider Kubernetes ecosystem. Each standalone chapter features recipes written in O'Reilly's popular problem-solution-discussion format. Recipes in this cookbook focus on: Creating a Kubernetes cluster Using the Kubernetes command-line interface Managing fundamental workload types Working with services Exploring the Kubernetes API Managing stateful and non-cloud native apps Working with volumes and configuration data Cluster-level and application-level scaling Securing your applications Monitoring and logging Maintenance and troubleshooting
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed March 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491979679/?ar
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    Escaping the build trap : how effective product management creates real value (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Product management ; Customer relations ; Management ; Electronic books ; Electronic books ; local
    Abstract: To stay competitive in today's market, organizations need to adopt a culture of customer-centric practices that focus on outcomes rather than outputs. Companies that live and die by outputs often fall into the "build trap," cranking out features to meet their schedule rather than the customer's needs. In this book, Melissa Perri explains how laying the foundation for great product management can help companies solve real customer problems while achieving business goals. By understanding how to communicate and collaborate within a company structure, you can create a product culture that benefits both the business and the customer. You'll learn product management principles that can be applied to any organization, big or small. In five parts, this book explores: Why organizations ship features rather than cultivate the value those features represent How to set up a product organization that scales How product strategy connects a company's vision and economic outcomes back to the product activities How to identify and pursue the right opportunities for producing value through an iterative product framework How to build a culture focused on successful outcomes over outputs
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed January 7, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491973783/?ar
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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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    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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    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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    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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    Seeking SRE : conversations about running production systems at scale (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: Organizations big and small have started to realize just how crucial system and application reliability is to their business. They've also learned just how difficult it is to maintain that reliability while iterating at the speed demanded by the marketplace. Site Reliability Engineering (SRE) is a proven approach to this challenge. SRE is a large and rich topic to discuss. Google led the way with Site Reliability Engineering , the wildly successful O'Reilly book that described Google's creation of the discipline and the implementation that's allowed them to operate at a planetary scale. Inspired by that earlier work, this book explores a very different part of the SRE space. The more than two dozen chapters in Seeking SRE bring you into some of the important conversations going on in the SRE world right now. Listen as engineers and other leaders in the field discuss: Different ways of implementing SRE and SRE principles in a wide variety of settings How SRE relates to other approaches such as DevOps Specialties on the cutting edge that will soon be commonplace in SRE Best practices and technologies that make practicing SRE easier The important but rarely explored human side of SRE David N. Blank-Edelman is the book's curator and editor.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed September 7, 2018)
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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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    Adopting InnerSource : principles and case studies (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Open source software ; Computer software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: The application of open source principles and practices to create in-house software is taking off in the corporate world. Known as InnerSource, this development strategy lets development teams collaborate and share code to speed delivery and improve quality while helping to eliminate silos and bottlenecks. With this practical ebook, you'll explore case studies from Bell Labs, PayPal, Ericsson, Nike, Bosch, and Europace that demonstrate why and how InnerSource can work in your organization. These case studies candidly discuss the difficulties of starting InnerSource projects, as well as the benefits and trials each company experienced during the process. Authors Danese Cooper and Klaas-Jan Stol also provide executives, midlevel managers, and developers with advice for choosing and structuring your first InnerSource experiment. You'll explore how: The Apache Software Foundation codified many of the best practices learned by open source developers over decades Bell Laboratories used an early InnerSource approach to implement VoIP Bosch uses InnerSource to improve collaboration among business units worldwide PayPal's Symphony module developed into the company's longest and most intentional InnerSource experiment Fintech company Europace uses InnerSource to move toward decentralized self-organization Ericsson developed its own unique InnerSource model for several projects, including a consistent user interface Nike built a reusable continuous development infrastructure using InnerSource principles
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed October 4, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492041863/?ar
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    Fast data use cases for telecommunications : how fast data can help telcos virtualize, monetize, and deal with the data deluge (2018)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Big data ; Streaming technology (Telecommunications) ; Internet of things ; Application software ; Development ; Storage area networks (Computer networks) ; Business enterprises ; Computer networks ; Electronic books ; Electronic books ; local
    Abstract: Telecommunications networks have always generated data at line speed, but with the massive increase in streaming data these service providers now handle, telcos have to process and act on data in milliseconds. Fast data-not just big data-is the future of telco. This report examines several use cases that illustrate telco's increasing need for fast data in operational and business support (OSS and BSS) systems, flexible NFV and 5G architectures, subscription services, and IoT devices. You'll explore case studies involving VoltDB, an in-memory, NewSQL database popular with telcos for its ability to handle the speed and scale of fast data. This report reflects the experiences of VoltDB engineers and their telco customers-Openet, Nokia, Emagine International, and Nimble Storage-that recently deployed flexible, cost-effective fast-data solutions. Discover how: Fast-data systems ingest, analyze, act upon, and export data while meeting stringent non-functional requirements Openet evolved its mediation product with a VoltDB system to process 1 trillion real-time events per day Nokia seamlessly transitioned to NFV and SDN to deliver converged broadband and IoT communication Emagine used VoltDB to provide real-time analysis of network subscriber data based on event triggers Nimble upgraded its predictive analytics platform to predict, diagnose, and prevent performance problems in IoT storage arrays
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed December 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491998267/?ar
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    Deep learning cookbook : practical recipes to get started quickly (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: Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'll learn how to solve deep-learning problems for classifying and generating text, images, and music. Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you're stuck. Examples are written in Python with code available on GitHub as a set of Python notebooks. You'll learn how to: Create applications that will serve real users Use word embeddings to calculate text similarity Build a movie recommender system based on Wikipedia links Learn how AIs see the world by visualizing their internal state Build a model to suggest emojis for pieces of text Reuse pretrained networks to build an inverse image search service Compare how GANs, autoencoders and LSTMs generate icons Detect music styles and index song collections
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491995839/?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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    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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  • 97
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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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  • 98
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    Online Resource
    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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  • 99
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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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  • 100
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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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