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  • Safari, an O’Reilly Media Company  (199)
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  • 1
    Online Resource
    Online Resource
    Mastering Serverless Applications with Google Cloud Run (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (37 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn how to build a serverless real-world application in the cloud that’s reliable, secure, maintainable, and can handle millions of users. If you have experience building traditional web applications, this practical guide shows you how to get started with serverless. Cloud engineer Wietse Venema takes you through the steps necessary to build serverless applications with Cloud Run, a container-based serverless platform on Google Cloud. Through the course of the book, you’ll learn how to become productive with serverless technology. You will build and explore several example applications that highlight different parts of the serverless stack, using (light) frontend technology and Go on the back end. You can also follow the lessons in the book using your own project on Google Cloud Platform. You’ll learn how to: Build a serverless application with Google’s Cloud Run and Firestore Approach testing and development Handle user management and authentication Combine serverless with a traditional relational database Run and monitor production services Integrate your application with external APIs
    Note: Online resource; Title from title page (viewed July 25, 2020)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    The Practitioner's Guide to Graph Data (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With Early Release ebooks, you get books in their earliest form—the authors' raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles. This book will enable you to apply graph thinking to solve complex problems. If you want to learn how to build architectures for extracting value for your domain’s complex problems, then this book is for you. You’ll learn how to think about your data as a graph, and how to determine if graph technology is right for your application. The book describes techniques for scalable, real-time, and multimodel architectures that solve complex problems, and shows how companies are successfully applying graph thinking in distributed production environments. Authors Denise Koessler Gosnell and Matthias Broecheler also introduce the Graph Schema Language, a set of terminology and visual illustrations to normalize how graph practitioners communicate conceptual graph models, graph schema, and graph database design.
    Note: Online resource; Title from title page (viewed April 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492044062/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Modern System Administration (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Early system administration required in-depth knowledge of a variety of services on individual systems. Now, the job is increasingly complex and different from one company to the next with an ever-growing list of technologies and third-party services to integrate. How does any one individual stay relevant in systems and services? This practical guide helps anyone in operations—sysadmins, automation engineers, IT professionals, and site reliability engineers—understand the essential concepts of the role today. Collaboration, automation, and the evolution of systems change the fundamentals of operations work. No matter where you are in your journey, this book provides you the information to craft your path to advancing essential system administration skills. Author Jennifer Davis provides examples of modern practices and tools with recommended materials to advance your skills. Topics include: Development and testing: Version control, fundamentals of virtualization and containers, testing, and architecture reviewDeploying and configuring services: Infrastructure management, networks, security, storage, serverless, and release managementScaling administration: Monitoring and observability, capacity planning, log management and analysis, and security and compliance
    Note: Online resource; Title from title page (viewed July 25, 2020)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Learning Spark, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Data is getting bigger, arriving faster, and coming in varied formats—and it all needs to be processed at scale for analytics or machine learning. How can you process such varied data workloads efficiently? Enter Apache Spark. Updated to emphasize new features in Spark 2.x., this second edition shows data engineers and scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine-learning algorithms. Through discourse, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level APIs: DataFrames and Datasets Peek under the hood of the Spark SQL engine to understand Spark transformations and performance Inspect, tune, and debug your Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow Use open source Pandas framework Koalas and Spark for data transformation and feature engineering
    Note: Online resource; Title from title page (viewed June 25, 2020)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    JavaScript Everywhere (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. JavaScript is the little scripting language that could. Once used chiefly to add interactivity to web browser windows, JavaScript is now a primary building block of powerful and robust applications. In this practical book, new and experienced JavaScript developers will learn how to use this language to create APIs as well as web, mobile, and desktop applications. Author and engineering leader Adam D. Scott covers technologies such as Node.js, GraphQL, React, and React Native. Ideal for developers who want to build full stack applications and web development beginners looking to bootstrap a startup, this book shows you how to create a single CRUD-style application that will work across several platforms. Explore GraphQL's simple process for querying data Learn about shared authentication for APIs, web apps, and native applications Build universal web applications with React and Next.js that perform and render on the server Use React Native to write cross-platform applications for iOS and Android that compile to native code Learn how to write desktop applications with Electron
    Note: Online resource; Title from title page (viewed March 25, 2020)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Building Machine Learning Powered Applications (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-world ML application step-by-step. Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science’s AI program, demonstrates key ML concepts with code snippets, illustrations, and screenshots from the book’s example application. The first part of this guide shows you how to plan and measure success for an ML application. Part II shows you how to build a working ML model, and Part III explains how to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Determine your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML model and address performance bottlenecks Deploy and monitor models in a production environment
    Note: Online resource; Title from title page (viewed February 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492045106/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Laws of UX : using psychology to design better products & services (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (58 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Yablonski, Jon Laws of UX
    RVK:
    QP 624
    Keywords: Electronic books ; local ; Webdesign ; Gebrauchsgrafik ; Mensch-Maschine-Kommunikation ; Benutzerfreundlichkeit ; Verhaltenspsychologie
    Abstract: Every designer today should learn the fundamentals of psychology. Instead of forcing users to conform to a product design or experience, designers need to learn how users behave and interact with various digital interfaces. This guide provides some key principles from psychology to help you design more intuitive, human-centered products and experiences. Humans have an underlying blueprint for how we perceive and process the world around us, and through simple lessons in psychology, this guide will help you define this blueprint.
    Note: Online resource; Title from title page (viewed April 25, 2020)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Kubernetes Operators (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Operators are a way of packaging, deploying, and managing Kubernetes applications. A Kubernetes application doesn’t just run on Kubernetes; it’s composed and managed in Kubernetes terms. Operators add application-specific operational knowledge to a Kubernetes cluster, making it easier to automate complex, stateful applications and to augment the platform. Operators can coordinate application upgrades seamlessly, react to failures automatically, and streamline repetitive maintenance like backups. Think of Operators as site reliability engineers in software. They work by extending the Kubernetes control plane and API, helping systems integrators, cluster administrators, and application developers reliably deploy and manage key services and components. Using real-world examples, authors Jason Dobies and Joshua Wood demonstrate how to use Operators today and how to create Operators for your applications with the Operator Framework and SDK. Learn how to establish a Kubernetes cluster and deploy an Operator Examine a range of Operators from usage to implementation Explore the three pillars of the Operator Framework: the Operator SDK, the Operator Lifecycle Manager, and Operator Metering Build Operators from the ground up using the Operator SDK Build, package, and run an Operator in development, testing, and production phases Learn how to distribute your Operator for installation on Kubernetes clusters
    Note: Online resource; Title from title page (viewed March 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492048039/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Enterprise Architecture Patterns with Python (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (280 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are now taking an interest in high-level software architecture patterns such as hexagonal/clean architecture, event-driven architecture, and strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward. With this practical guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity. Each pattern is illustrated with concrete examples in idiomatic Python that explain how to avoid some of the unnecessary verbosity of Java and C# syntax. You’ll learn how to implement each of these patterns in a Pythonic way. Architectural design patterns include: Dependency inversion, and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design’s distinction between entities, value objects, and aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command Query Responsibility Segregation (CQRS) Event-driven architecture and reactive microservices
    Note: Online resource; Title from title page (viewed April 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492052197/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Distributed Tracing in Practice (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most applications today are distributed in some fashion. Monitoring the health and performance of these distributed architectures requires a new approach. Enter distributed tracing, a method of profiling and monitoring applications—especially those that use microservice architectures. There’s just one problem: distributed tracing can be hard. But it doesn’t have to be. With this practical guide, you’ll learn what distributed tracing is and how to use it to understand the performance and operation of your software. Key players at LightStep walk you through instrumenting your code for tracing, collecting the data that your instrumentation produces, and turning it into useful, operational insights. If you want to start implementing distributed tracing, this book tells you what you need to know. You’ll learn: The pieces of a distributed tracing deployment: Instrumentation, data collection, and delivering value Best practices for instrumentation (the methods for generating trace data from your service) How to deal with or avoid overhead, costs, and sampling How to work with spans (the building blocks of request-based distributed traces) and choose span characteristics that lead to valuable traces Where distributed tracing is headed in the future
    Note: Online resource; Title from title page (viewed June 25, 2020)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Using Asyncio in Python (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you’re among the Python developers put off by Asyncio’s complexity, it’s time to take another look. Asyncio is complicated because it aims to solve problems in concurrent network programming for both framework developers and end-user developers like you. The features you need to consider are a small subset of the whole Asyncio API, but picking out the right features is the tricky part. That’s where this practical book comes in. Veteran Python developer Caleb Hattingh helps end-user developers gain a basic understanding of Asyncio’s building blocks—enough to get you started writing simple event-based programs. You’ll learn why Asyncio offers a safer alternative to preemptive multitasking (threading) and how this API provides a simple way to support thousands of simultaneous socket connections. Get a critical comparison of Asyncio and threading for concurrent network programming Take an Asyncio walkthrough, including a quickstart guide to help you hit the ground looping with event-based programming Learn the difference between Asyncio features for end-user developers and those for framework developers Understand Asyncio’s new async/await language syntax, including coroutines and task and future APIs Get detailed case studies (with code) of some popular Asyncio-compatible third-party libraries
    Note: Online resource; Title from title page (viewed March 25, 2020)
    URL: lizenzpflichtig
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  • 12
    Online Resource
    Online Resource
    Web Application Security (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (51 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: While many resources for network and IT security are available, detailed knowledge regarding modern web application security has been lacking—until now. This practical guide provides both defensive and offensive security concepts that software engineers can easily learn and apply. Andrew Hoffman, a product security lead at Salesforce.com, introduces three pillars of web application security: recon, offense, and defense. You’ll learn methods for effectively researching and analyzing modern web applications—including those you don’t have direct access to. You’ll also learn how to apply countermeasures to your own applications in order to prevent or mitigate risk from hackers. Ideal as a reference guide or educational text, this book helps you: Explore common vulnerabilities that plague today's web applications Learn essential hacking techniques that attackers use for exploiting applications Map and document web applications for which you do not have direct access Hack your application by applying the OWASP 10 exploits and other attacks Learn how to code your application to protect against the attacks you’ve identified Get practical tips to help you improve the overall security of your web products Develop and deploy your own customized exploits that can bypass many defenses
    Note: Online resource; Title from title page (viewed June 25, 2020)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 13
    Online Resource
    Online Resource
    Threat Modeling (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Threat modeling is one of the most essential—and most misunderstood—parts of the development lifecycle. Whether you’re a security practitioner or application developer, this book will help you gain a better understanding of core concepts and how to apply them to your practice to protect your systems from threats. Authors Izar Tarandach and Matthew Coles walk you through the myriad ways to approach and execute threat modeling. Contrary to popular belief, the process takes neither incredibly advanced security knowledge nor an unmanageable amount of effort. But it’s critical for spotting and addressing potential concerns in a cost-effective way before the code’s written and it’s too late to find a solution. Find out why threat modeling is important and how it can make you and your team better, more well-rounded architects and developers Learn the most effective ways to integrate threat modeling into your development lifecycle Use the results of a threat modeling exercise on other aspects of the system lifecycle
    Note: Online resource; Title from title page (viewed April 25, 2020)
    URL: lizenzpflichtig
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  • 14
    Online Resource
    Online Resource
    Practical Statistics for Data Scientists, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (93 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide—now including examples in Python as well as R—explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you’ll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning
    Note: Online resource; Title from title page (viewed May 25, 2020)
    URL: lizenzpflichtig
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  • 15
    Online Resource
    Online Resource
    Mastering Blockchain (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The future will be increasingly decentralized. As the publicity surrounding bitcoin and blockchain has shown, decentralized technology and distributed business models are already popular. Yet the disruptive potential of this technology is obscured by hype and misconceptions in equal measure. In this detailed guide, Lorne Lantz and Daniel Cawrey distill the complex ideas behind blockchain into an easily digestible reference that shows what is really going on under the hood. Finance and technology professionals will learn how a blockchain works as they explore the evolution and current state of cryptocurrencies, and the function of smart contracts. If you’re evaluating whether to invest your time in the cryptocurrency and blockchain industry, this book is for you. Get beyond the buzzwords and discover what the technology has to offer. Learn why Bitcoin was fundamentally important to the birth of blockchain Explore altcoin and altchain successes and failures, to see what can be done with blockchains and cryptocurrencies Understand the challenges of scaling a blockchain and forking a blockchain project See what Ethereum offers beyond Bitcoin Examine how the money flows in crypto markets Discover why, how, and where governments are intervening in the cryptocurrency and blockchain industry Understand the perspectives of real-world practitioners in the space
    Note: Online resource; Title from title page (viewed October 25, 2020)
    URL: lizenzpflichtig
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  • 16
    Online Resource
    Online Resource
    Lean AI (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (210 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: How can startups successfully scale customer acquisition and revenue growth with a lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. With this practical book, author Lomit Patel shows you how to use AI and machine learning (ML) to provide an operational layer atop those acquisition solutions to deliver meaningful results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and maintain customers. Learn how AI and ML can support the customer acquisition efforts of a lean startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use ML for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects
    Note: Online resource; Title from title page (viewed March 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492059301/?ar
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  • 17
    Online Resource
    Online Resource
    Java Cookbook, 4th Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (600 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Java continues to grow and evolve, and this Cookbook continues to evolve in tandem. This book helps to get you up to speed right away with hundreds of hands-on recipes across a broad range of Java topics. You’ll learn useful techniques for everything from string handling and functional programming to network communication. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. If you are familiar with the basics of the Java language, this cookbook will bolster your knowledge of the language in general and its many recent changes and how to apply them in your day-to-day development. Recipes include: Methods for compiling, running, and debugging “Packaging” Java classes and building applications Manipulating, comparing, and rearranging text Regular expressions for string- and pattern-matching Handling numbers, dates, and times Structuring data with collections, arrays, and other types Object-oriented and functional programming techniques Input/Output, Directory and filesystem operations Network programming on both client and server Processing JSON for data interchange Multithreading and concurrency Using Java in Big Data applications Interfacing Java with other languages The 4th Edition of this book has been updated to cover changes through Java 12 and includes new recipes for Big Data and data science.
    Note: Online resource; Title from title page (viewed April 25, 2020)
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  • 18
    Online Resource
    Online Resource
    Innovative Tableau (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (56 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Level up with Tableau to build eye-catching, easy-to-interpret data visualizations. In this follow-up guide to 2018’s Practical Tableau, author Ryan Sleeper takes you through a collection of unique tips and tutorials for using this popular software. Beginning to advanced Tableau users will learn how to go beyond Show Me to make better data charts and learn dozens of tricks to improve both the author and user experience. Featuring many tutorials he designed himself, Ryan shows you how to create charts that empower Tableau users to explore, understand, and derive value from their data. He also shares many of his favorite tricks that enabled him to become a Tableau Zen Master, Tableau Public Visualization of the Year author, and Tableau Iron Viz Champion. Learn what’s new in Tableau since Practical Tableau was released in 2018 Examine unique new charts—timelines, custom gauges, and leapfrog charts—plus innovations such as highlight tables, scatter plots, and maps Get tips that can help make a Tableau developer’s life easier Understand what developers can do to make users’ lives easier
    Note: Online resource; Title from title page (viewed July 25, 2020)
    URL: lizenzpflichtig
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  • 19
    Online Resource
    Online Resource
    Building Secure and Reliable Systems (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (600 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Can a system ever truly be considered reliable if it isn't fundamentally secure? In two previous O'Reilly books, experts from Google showed how reliability is fundamental to service design. Site Reliability Engineering and The Site Reliability Workbook demonstrated how and why a commitment to the entire service lifecycle enables organizations to successfully build, deploy, monitor, and maintain software systems. Security is also crucial to the design and operation of scalable systems in production, as it plays an important part in product quality, performance, reliability, and availability. In a world where most products are connected to the internet, and with cloud technologies and machine learning becoming more prevalent, enabling security by default is increasingly important. This book shares best practices to help an organization of any size design scalable and reliable systems that are fundamentally secure. It also offers insights into how teams across an organization can collaborate on security and reliability. Specifically, you'll learn about: Design Strategies Implementation and Operations Preparing for the Worst: Detection and Response Scaling Security and the Organization
    Note: Online resource; Title from title page (viewed March 25, 2020)
    URL: lizenzpflichtig
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  • 20
    Online Resource
    Online Resource
    Arduino Cookbook, 3rd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (800 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Want to create devices that interact with the physical world? This cookbook is perfect for anyone who wants to experiment with the popular Arduino microcontroller and programming environment. You’ll find more than 200 tips and techniques for building a variety of objects and prototypes such as IoT solutions, environmental monitors, location and position-aware systems, and products that can respond to touch, sound, heat, and light. You don’t need to have mastered Arduino or programming to get started. Updated for the Arduino 1.5 release, the recipes in this third edition include practical examples and guidance to help you begin, expand, and enhance your projects right away—whether you’re an engineer, designer, artist, student, or hobbyist. Get up to speed on the Arduino board and essential software concepts quickly Learn basic techniques for reading digital and analog signals Use Arduino with a variety of popular input devices and sensors Drive visual displays, generate sound, and control several types of motors Interact with devices that use remote controls, including TVs and appliances Learn techniques for handling time delays and time measurement Apply advanced coding and memory-handling techniques
    Note: Online resource; Title from title page (viewed April 25, 2020)
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    Architecting for Scale, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. And with the popularity of software as a service, scaling has never been more important. Updated with an expanded focus on modern architecture paradigms such as microservices and cloud computing, this practical guide provides techniques for building systems that can handle huge quantities of traffic, data, and demand without affecting the quality your customers expect. Author Lee Atchison shows architects, managers, and directors in both engineering andoperations organizations how to build applications at scale that run more smoothly and reliably and meet the needs of your customers. See how scaling affects the availability of your services, why that matters, and how to improve it Dive into a modern service-based application architecture that ensures high availability and reduces the effects of service failures Explore the Single Team Owned Service Architecture paradigm (STOSA)—a model for scaling your development organization as your application scales Understand, measure, and mitigate risk in your systems Use the cloud to build highly scalable applications
    Note: Online resource; Title from title page (viewed June 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492057161/?ar
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    Fundamentals of Software Architecture (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: 9781492043423 , 1492043427 , 9781492043409 , 1492043400
    Language: English
    Pages: 1 online resource (500 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.12
    Keywords: Software architecture ; Software architecture Vocational guidance ; Electronic books ; local ; Architecture logicielle ; Architecture logicielle ; Orientation professionnelle ; Software architecture
    Abstract: Although salary surveys worldwide regularly identify software architect as one of the top ten best jobs, no decent guides exist to help developers become architects. Until now. This practical guide provides the first comprehensive overview of software architecture’s many aspects. You’ll examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Authors Neal Ford and Mark Richards help you learn through examples in a variety of popular programming languages, such as Java, C#, JavaScript, and others. You’ll focus on architecture principles with examples that apply across all technology stacks.
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    Full Stack Serverless (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (52 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With a new generation of services and frameworks, frontend and mobile developers can use their existing skill set to build full stack applications by leveraging the cloud. Developers can build robust applications with production-ready features such as authentication, APIs, data layers, machine learning, chatbots, and AR scenes more easily than ever by taking advantage of these new serverless and cloud technologies. This practical guide explains how. Nader Dabit, developer advocate at Amazon Web Services, shows developers how to build full stack applications using React, AWS, GraphQL, and the Amplify Framework. You’ll learn how to create and incorporate services into your client applications while exploring general best practices, deployment strategies, continuous integration and delivery, and rich media management along the way. Learn how to build applications that solve real problems Understand what is (and isn’t) possible when using these technologies Examine how authentication works—and learn the difference between authentication and authorization Discover how serverless functions work and why they’re important Use GraphQL in your application—and learn why it’s important Learn how to build full stack applications on AWS
    Note: Online resource; Title from title page (viewed November 25, 2020)
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    Java Performance, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (450 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Coding and testing are generally considered separate areas of expertise. In this practical book, Java expert Scott Oaks takes the approach that anyone who works with Java should be equally adept at understanding how code behaves in the Java Virtual Machine—including the tunings likely to help performance. This updated second edition helps you gain in-depth knowledge of Java application performance using both the JVM and the Java platform. Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way Java 8 and 11 LTS releases perform. While the emphasis is on production-supported releases and features, this book also features previews of exciting new technologies such as ahead-of-time compilation and experimental garbage collections. Understand how various Java platforms and compilers affect performance Learn how Java garbage collection works Apply four principles to obtain best results from performance testing Use the JDK and other tools to learn how a Java application is performing Minimize the garbage collector’s impact through tuning and programming practices Tackle performance issues in Java EE and SE APIs Improve Java-driven database application performance
    Note: Online resource; Title from title page (viewed February 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492056102/?ar
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  • 25
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    Natural Language Processing with Spark NLP (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (94 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you want to build an enterprise-quality application that uses natural language text, but aren’t sure where to begin or what tools to use, this practical guide will help get you started. You’ll explore special concerns for developing text-based applications, such as performance. Alex Thomas, data scientist at Indeed, shows software engineers and data scientists how to build scalable NLP applications using deep learning and the Apache Spark NLP library. Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from NLP basics to applications of powerful modern techniques. Process text in a distributed environment using Spark NLP, a production-ready library for NLP built on Spark Create, tune, and deploy your own word embeddings Adapt your NLP applications to multiple languages Use text in machine learning and deep learning Learn why these techniques work from a machine learning, linguistic, and practical point of view
    Note: Online resource; Title from title page (viewed July 25, 2020)
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    JavaScript : The Definitive Guide, 7th Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (232 pages)
    Edition: 7th edition
    Keywords: Electronic books ; local
    Abstract: For web developers and other programmers interested in using JavaScript, this bestselling book provides the most comprehensive JavaScript reference section on the market. The seventh edition represents a significant update, with new material for ECMAScript 2017 (ES8), and new chapters on language-specific features. JavaScript: The Definitive Guide is ideal for experienced programmers who want to learn the programming language of the web, and for current JavaScript programmers who want to master it.
    Note: Online resource; Title from title page (viewed July 25, 2020)
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    High Performance Python, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (87 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, the updated edition of this practical guide, expanded and enhanced for Python 3, helps you gain a deeper understanding of Python’s implementation. You’ll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. How can you take advantage of multicore architectures or clusters? Or build a system that can scale up and down without losing reliability? Experienced Python programmers and students alike will learn concrete solutions to these and other issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and other situations. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Understand performant pandas Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix, vector, and even tensor computations Use tools to compile Python down to machine code, on CPUs and GPUs Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on a local or remote cluster Deploy code faster using tools like Docker Solve large problems while using less RAM Get real-life stories and lessons from Python programmers
    Note: Online resource; Title from title page (viewed June 25, 2020)
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    Cassandra : The Definitive Guide, 3rd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (66 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition—updated for Cassandra 4.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s nonrelational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data
    Note: Online resource; Title from title page (viewed July 25, 2020)
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    Practical Natural Language Processing (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (375 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you want to build, iterate and scale NLP systems in a business setting and to tailor them for various industry verticals, this is your guide. Consider the task of building a chatbot or text classification system at your organization. In the beginning, there may be little or no data to work with. At this point, a basic solution that uses rule based systems or traditional machine learning will be apt. As you accumulate more data, more sophisticated—and often data intensive—ML techniques can be used including deep learning. At each step of this journey, there are dozens of alternative approaches you can take. This book helps you navigate this maze of options.
    Note: Online resource; Title from title page (viewed May 25, 2020)
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    Programming PHP, 4th Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (540 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Why is PHP the most widely used programming language on the web? This updated edition teaches everything you need to know to create effective web applications using the latest features in PHP 7.3. You’ll start with the big picture and then dive into language syntax, programming techniques, and other details, using examples that illustrate both correct usage and common idioms. If you have a working knowledge of HTML and CSS, authors Kevin Tatroe and Peter MacIntyre provide style tips and practical programming advice in a clear, concise manner to help you become a top-notch PHP programmer. Get an overview of what’s possible when you use PHP programs Learn language fundamentals, including data types, variables, operators, and flow control statements Explore functions, strings, arrays, and objects Apply common web application techniques, such as form processing, data validation, session tracking, and cookies Interact with relational databases like MySQL or NoSQL databases such as MongoDB Generate dynamic images, create PDF files, and parse XML files Learn secure scripts, error handling, performance tuning, and other advanced topics Get a quick reference to PHP core functions and standard extensions
    Note: Online resource; Title from title page (viewed April 25, 2020)
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    Python for DevOps (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (451 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout all these transformations, Python has become one of the most popular languages in the world. This practical guide shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is an essential skill for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. If you’re looking for effective ways to "get stuff done" in Python, this is your guide. Automate several tasks using Python Work more efficiently by using a smaller subset of the language Use continuous integration systems to increase software quality Mix shell and Python commands to solve problems
    Note: Online resource; Title from title page (viewed January 3, 2020)
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    Programming AWS Lambda (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (224 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Serverless is a revolution in the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their language experience in the new world of serverless computing. You’ll discover how this cloud computing model can drastically reduce the complexity in developing and operating applications while reducing costs and time to market. Engineering leaders John Chapin and Mike Roberts guide you through the process of developing serverless applications using AWS Lambda, Amazon’s event-driven, serverless computing platform. You’ll learn how to prepare the development environment, program Lambda functions, and deploy and operate your serverless software. Chapters includes exercises to help you through each aspect of the process. Get an introduction to serverless, functions-as-a-service, and AWS Lambda Learn how to deploy working Lambda functions to the cloud Program Lambda functions and learn how to get data in and out Build and package Java-based Lambda code and dependencies Create serverless applications by building a serverless API and data pipeline Test your serverless applications using automated techniques Apply advanced techniques to build production-ready applications
    Note: Online resource; Title from title page (viewed February 25, 2020)
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    Building Machine Learning Pipelines (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (275 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. The book also explores new approaches for integrating data privacy into machine learning pipelines. Understand the machine learning management lifecycle Implement data pipelines with Apache Airflow and Kubeflow Pipelines Work with data using TensorFlow tools like ML Metadata, TensorFlow Data Validation, and TensorFlow Transform Analyze models with TensorFlow Model Analysis and ship them with the TFX Model Pusher Component after the ModelValidator TFX Component confirmed that the analysis results are an improvement Deploy models in a variety of environments with TensorFlow Serving, TensorFlow Lite, and TensorFlow.js Learn methods for adding privacy, including differential privacy with TensorFlow Privacy and federated learning with TensorFlow Federated Design model feedback loops to increase your data sets and learn when to update your machine learning models
    Note: Online resource; Title from title page (viewed August 25, 2020)
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    Machine Learning at Enterprise Scale (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (40 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Enterprises in traditional and emerging industries alike are increasingly turning to machine learning (ML) to maximize the value of their business data. But many of these teams are likely to experience significant hurdles and setbacks throughout the journey. In this practical ebook, data scientists and machine learning engineers explore six common challenges that teams face every day when creating, managing, and scaling ML applications. For each problem, you’ll get hard-earned advice from Hussein Mehanna, AI engineering director for Google Cloud; Nakul Arora, VP of product management and marketing at Infosys; Patrick Hall, senior director for data science products at H2O; Matt Harrison, consultant and corporate trainer at MetaSnake; Joao Natali, data science director at Neustar; and Jerry Overton, data scientist and technology fellow at DXC. Accomplished data scientist Piero Cinquegrana and Matheen Raza of Qubole examine ways to overcome challenges that include: Reconciling disparate interfaces Resolving environment dependencies Ensuring close collaboration among all ML stakeholders Building or renting adequate ML infrastructure Meeting the scalability needs of your application Enabling smooth deployment of ML projects
    Note: Online resource; Title from title page (viewed July 25, 2019)
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    Mining the Social Web, 3rd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (432 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits
    Note: Online resource; Title from title page (viewed January 2, 2019)
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    Leading Lean (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (276 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. From the startup to corporate giant, companies are facing massive amounts of disruption. More than ever before, organizations need nimble and responsive leaders who know how to exploit the opportunities that change brings. In this insightful book, senior executive Jean Dahl takes a hard look at how leadership needs to be redefined in this age of disruption by embracing lean principles. Drawing on nearly three decades of corporate experience, Dahl lays out a new holistic approach to developing today’s lean leaders. She shares personal experiences and compelling real-world case studies to explain the steps needed to get you and your company to embrace and respond to change proactively. Learn how to build a lean culture within your organization Discover the five dimensions of lean leadership and the skills and abilities involved Learn how to apply the seven steps necessary to become a lean leader Build a culture of continuous change within your organization by implementing the seven steps to building a lean culture
    Note: Online resource; Title from title page (viewed December 18, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046288/?ar
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    What Are Miniservices? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (26 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Miniservices provide a valuable middle ground between monoliths and microservices. As Nicholas Keune explains in this report, miniservices are suited for application landscapes involving data-intensive workloads that span monoliths and microservices or cross the traditional boundaries of a service context. Drawn from the work of many development teams, the report gives a model and language to data-centric system attributes so that they can be considered more proactively in the design discussion. Combining monolithic corporate or third-party systems with microservices requires a design pattern to balance both local and global aspects of the data lifecycle. The approach advocated here, called a data discourse , is both flexible and bounded by guiding principles that help bring data discussions into early architectural conversations. Using real-world experiences and use cases, the report focuses on three of the most commonly observed attributes in a miniservice: consistency, transactionality, and proximity. The examples illustrate how design discussions about data discourses lead to miniservice creation, and how miniservices help solve otherwise difficult architectural challenges. With this report, you’ll learn: What miniservices are and how they offer solutions to challenges What data discourses are and how to use them How data discourses and miniservices help shift design discussions around data
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492073505/?ar
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    Storytelling in Design (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Dahlström, Anna Storytelling in design
    Keywords: Electronic books ; local ; Erzählen ; Benutzeroberfläche ; Produktgestaltung ; Design
    Abstract: The number of devices we use on a daily basis is growing, with different devices playing different role at different times. Our ability as designers to control where users are coming from and how they get around the experiences we design is fading. Yet our need to ensure we understand where they are in their journey, so that we can deliver the right content and interactions at the right time and on the right device, is ever more important. By examining tried-and-tested storytelling principles from film, fiction, and music and applying them to the context of design and business, this book takes you on a journey to explore why storytelling matters and how you can apply it to your multi-device design projects and to your organization. For UX designers who want to learn how to apply simple storytelling tools, this comprehensive guide is a must. Understand the role of storytelling and why it matters in multi-device design Learn how to apply storytelling principles and tools to your project Define multi-device interaction design, and create a better user experience across devices Use storytelling principles to tell, sell, and present your multi-device design work Take advantage of case studies and examples of DOs and DON’Ts
    Note: Online resource; Title from title page (viewed December 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491959411/?ar
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    Strengthening Deep Neural Networks (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (244 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNs—the algorithms intrinsic to much of AI—are used daily to process image, audio, and video data. Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If you’re a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you. Delve into DNNs and discover how they could be tricked by adversarial input Investigate methods used to generate adversarial input capable of fooling DNNs Explore real-world scenarios and model the adversarial threat Evaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial data Examine some ways in which AI might become better at mimicking human perception in years to come
    Note: Online resource; Title from title page (viewed July 23, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492044949/?ar
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    What Is Domain-Driven Design? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (96 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The majority of software projects are delivered late or over budget, or they fail to meet the client’s requirements. Attack the problem head-on and build better software with domain-driven design (DDD)—a methodology that aligns software design with a business’s domain, needs, and strategy. In this report, Vladik Khononov introduces the key patterns and practices of domain-driven design and shows you how to apply them to improve the success rate of your projects. You’ll discover how to explore, analyze, and model your company’s business domain along with techniques for implementing that knowledge. Once you understand the fundamentals, you’ll be able to selectively apply DDD concepts to analyze and simplify your codebase, explore new requirements, and more. You’ll learn: Key domain-driven design concepts, including ubiquitous language and bounded contexts How to employ “event storming” to streamline the process of discovering domain knowledge and building a ubiquitous language Patterns and techniques for implementing business logic and architecting solutions that deliver business goals How to maintain and evolve both tactical and strategic designs over time
    Note: Online resource; Title from title page (viewed October 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492057802/?ar
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    Semantic Software Design (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (331 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect. This book covers each key aspect of architecture comprehensively, including how to incorporate business architecture, information architecture, data architecture, application (software) architecture together to have the best chance for the system’s success. Get a practical set of proven architecture practices focused on shipping great products using architecture Learn how architecture works effectively with development teams, management, and product management teams through the value chain Find updated special coverage on machine learning architecture Get usable templates to start incorporating into your teams immediately Incorporate business architecture, information architecture, data architecture, and application (software) architecture together
    Note: Online resource; Title from title page (viewed October 2, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045946/?ar
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    Programming C# 8.0 (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (801 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: C# is undeniably one of the most versatile programming languages available to engineers today. With this comprehensive guide, you’ll learn just how powerful the combination of C# and .NET can be. Author Ian Griffiths guides you through C# 8.0 fundamentals and teaches you techniques for building web and desktop applications. Designed for experienced programmers, this book provides many code examples to help you work with the nuts and bolts of C# code, such as generics, dynamic typing, nullable reference types, and asynchronous programming features. You’ll also get up to speed on ASP.NET, LINQ, and other .NET tools. Discover how C# supports fundamental coding features such as classes, custom types, collections, and error handling Understand the differences between dynamic and static typing in C# Query and process diverse data sources such as in-memory object models, databases, and XML documents with LINQ Use .NET’s multithreading features to exploit your computer’s parallel processing capabilities Learn how the new asynchronous language features can help improve application responsiveness and scalability
    Note: Online resource; Title from title page (viewed December 20, 2019)
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    Head First Kotlin (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (480 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: What will you learn from this book? Head First Kotlin is a complete introduction to coding in Kotlin. This hands-on book helps you learn the Kotlin language with a unique method that goes beyond syntax and how-to manuals and teaches you how to think like a great Kotlin developer. You’ll learn everything from language fundamentals to collections, generics, lambdas, and higher-order functions. Along the way, you’ll get to play with both object-oriented and functional programming. If you want to really understand Kotlin, this is the book for you. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Kotlin 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 multisensory learning experience is designed for the way your brain really works.
    Note: Online resource; Title from title page (viewed February 22, 2019)
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    DevOps Automation with Terraform and VMware (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Despite the size or scale of your production environment, your organization can gain significant value by adopting DevOps practices. Yet most organizations today still deploy application code and packages manually. To facilitate your adoption of DevOps-style practices, this hands-on guide shows you how to automate your IT operations using HashiCorp Terraform and VMware. DevOps is as much a people and process change as it is a technology change. Terraform and VMware provide the automation infrastructure, so you can focus on acquiring and adapting DevOps skills and processes. Eric Wright, technology evangelist at Turbonomic, shows architects and administrators how to build and operate VMware vSphere virtual machines and infrastructure using the Terraform CLI. With this report, you will: Learn how to codify virtual infrastructure step-by-step Understand how DevOps processes apply to VMware infrastructure Easily build VMware virtual machines and applications as Terraform resources Perform lifecycle management and immutable concepts using Terraform and VMware
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492073765/?ar
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    Deep Learning from Scratch (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks work using a first principles approach. You’ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you’ll be set up for success on all future deep learning projects. This book provides: Extremely clear and thorough mental models—accompanied by working code examples and mathematical explanations—for understanding neural networks Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework Working implementations and clear-cut explanations of convolutional and recurrent neural networks Implementation of these neural network concepts using the popular PyTorch framework
    Note: Online resource; Title from title page (viewed September 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041405/?ar
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  • 46
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    Database Internals (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (370 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
    Note: Online resource; Title from title page (viewed October 8, 2019)
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    What's New in Java 11? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (60 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The Java release train is moving faster than ever. Beginning with Java 9 in 2017, the platform’s one-to-three year release cycle accelerated to every six months, ensuring that timely new features and fixes would reach developers quickly. But as this ebook explains, Java 11 is more than just another incremental release. Benjamin Muschko, software engineer and consultant, examines the many changes in Java 11, including several new features and the removal or deprecation of some older ones. You’ll also learn the intricate differences between the Oracle JDK and other open source JDK distributions when it comes to licensing terms and patch update availability. This ebook covers: The merging of Oracle JDK and OpenJDK: Flight Recorder, Java Mission Control, and other commercial features are now free. Latest features and API enhancements: Java 11 includes a modern HTTP client, Unicode 10, nest-based access control, and more. Removed APIs and deprecations: Java 11 eliminates Java EE modules as well as applets and Java Web Start and decouples JavaFX from the JDK. Performance and security: Java 11 features two new garbage collectors and supports TLS 1.3, the latest version of the Transport Layer Security protocol.
    Note: Online resource; Title from title page (viewed January 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492047575/?ar
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    Web Performance as a Competitive Advantage (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To the typical web user, speed doesn’t only mean performance. Users’ perception of your app or site’s speed is heavily influenced by their user experience. This infographic describes the various ways your organization can improve performance to have a leg up on the competition.
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492039921/?ar
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    Web Development with Node and Express, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (334 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. Build dynamic web applications with Express, a key component of the Node/JavaScript development stack. In this updated edition, author Ethan Brown teaches you Express 5 fundamentals by walking you through the development of an example application. This hands-on guide covers everything from server-side rendering to API development suitable for use in single-page apps (SPAs) Express strikes a balance between a robust framework and no framework at all, allowing you a free hand in your architecture choices. Frontend and backend engineers familiar with JavaScript will also learn best practices for building multi-page and hybrid web apps with Express. Pick up this book and discover new ways to look at web development.
    Note: Online resource; Title from title page (viewed November 1, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053507/?ar
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    What Is Augmented Analytics? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your business tries to make sense of today’s staggering amount of structured and unstructured data, traditional analytics will take you only so far. The key to success over the next few years will depend on augmented analytics, a method that embeds machine learning and natural language processing (NLP) in the process. This report explains how augmented analytics can help you uncover hidden insights, predict results, and even prescribe solutions. Author Alice LaPlante provides best practices for deploying augmented analytics, along with real-world case studies that show you how to take full advantage of this method. IT professionals, business managers, and CFOs will learn ways to democratize data use among business users and executives, using a self-service model. The future belongs to those who can get more from their data. This report shows you how. Get a primer on the key components and learn how they work together Delve into the benefits of—and roadblocks to—adopting augmented analytics Learn how companies use this method in marketing, sales, finance, and human resources Examine case studies of companies including Accenture and Riverbed
    Note: Online resource; Title from title page (viewed October 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492058458/?ar
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    Unblocked (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (274 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand the Blockchain Opportunity: No Technical Background Required . Remember thedawn of the internet? The advent of mobile and social media? Yet another digital revolution is nowunderway. Like its predecessors, blockchains are about to transform the way we live, work, and play,while disrupting entrenched industries and shattering conventional business models. Move past the hype and equip yourself to forecast how blockchains will change our world and impactyou and your business. Author Alison McCauley helps non-technical executives to understandhow this technology will trigger change, shift the balance of power, and bring competitiveadvantage to those who know how to leverage them. Unblocked explains: Why ignoring this technology exposes you to competitive disruption What this new technology revolution embraces—no technical background required How to prepare your organization to respond to the coming shift
    Note: Online resource; Title from title page (viewed June 19, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492057963/?ar
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    What Is SRE? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (38 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Site Reliability Engineering is an outgrowth of the "always-on" world of online services. Initiated at Google more than a decade ago, SRE helps many of today’s sites run effectively and reliably, even as those sites continuously introduce new features. This ebook explains how site reliability engineers work with development teams to meet the fundamental customer expectation that online services can and must be reliable. Kurt Andersen from LinkedIn and Craig Sebenik from Split explain how new and existing organizations can successfully adopt SRE processes for managing—and learning from—a host of system incidents. Complete with case studies from Google, LinkedIn, and Slack, this ebook explores SRE and provides guiding principles for implementing the role in your organization. Understand how your company’s culture, capabilities, and organizational structure affect the way you approach SRE Learn how SREs strive to maintain system components in a resilient, predictable, consistent, repeatable, and measured state Examine differences between SRE and other operational roles, such as DevOps and classical ops Learn approaches for adopting SRE in either a new or existing organization Explore key patterns and anti-patterns for introducing SRE in your organization
    Note: Online resource; Title from title page (viewed June 25, 2019)
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    What Is Libra? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (29 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Facebook recently announced Libra, an ambitious project to bring blockchain-based cryptocurrency technology to its users around the world. This large-scale project involves a consortium of organizations in technology and finance hoping to reimagine digital finance. With this report, you’ll explore the promises and challenges Facebook and its stakeholders face as Libra approaches its expected 2020 launch. Once it arrives, Libra could have a huge impact on finance and consumer banking. What does it mean for average people using financial services? How could Libra impact the global finance and technology sectors? Author Daniel Cawrey ( Mastering Blockchain ) takes you through the issues and possibilities. Learn how: Libra will leverage blockchain, cryptocurrency, and smart contracts within Facebook’s existing platforms A consortium of organizations across business, technology, and nonprofits will govern Libra Facebook’s Calibra digital wallet will work within this ecosystem Libra took ideas from Bitcoin and the greater blockchain community The system needs to scale to billions of users if it is to work across many devices and networks Libra could help people with little or no access to the banking system
    Note: Online resource; Title from title page (viewed November 25, 2019)
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    What Is Service Design? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Companies and their customers today often don’t focus on the same things. While a restaurant may work hard to create an exciting new menu item, diners care more about courtesy. A bank will spend thousands promoting trust while customers struggle to access their website. This report explains how service design can help your organization innovate to deliver great experiences, not just great products, by understanding your customers' needs. Service design experts Adam Lawrence, Marc Stickdorn, Markus Hormeß, and Jakob Schneider explain that service design is a mindset, a process, a toolset, and a cross-disciplinary language. You’ll learn how cross-functional teams can create and orchestrate great customer or employee experiences that satisfy the requirements of the business, the user, and other stakeholders. This report explores how: Service design applies to physical and digital products as well as services Today’s informed customers have created a new challenge for businesses Service design is similar to design thinking and compatible with Agile and Lean Designers can promote low-risk progress through iterative prototyping Lightweight, iterative research can keep teams from solving the wrong problem This approach offers a common language for cross-silo collaboration
    Note: Online resource; Title from title page (viewed August 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053668/?ar
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    What Is Blockchain? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (46 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Everyone’s talking about blockchain. This exciting technology has the potential to impact our lives in much the same way as the internet did, but few understand how it actually works. Written for business technology leaders, this report breaks down the complexity of blockchain into plain language and simple illustrations so you can easily explain it to your colleagues. Sir John Hargrave and Evan Karnoupakis go beyond the hype to help you discover valuable opportunities for using blockchain in your business. The practical examples in this report will inspire you to get started on your own project; the real-world lessons will ensure you get it right. Understand the building blocks of blockchain, including the decentralized ledger, nodes, consensus protocols, and smart contracts Get up to speed on basic blockchain concepts, such as mining, forking, governance, and regulation Learn the power of the Blockchain Network Effect, the mystery of the Consensus Paradox, and other key blockchain principles Discover the challenges to setting up a blockchain project, plus four simple best practices to succeed
    Note: Online resource; Title from title page (viewed October 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781098114749/?ar
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    The Enterprise Big Data Lake (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (221 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries
    Note: Online resource; Title from title page (viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491931547/?ar
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    R Cookbook, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (598 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492040675/?ar
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    Programming PyTorch for Deep Learning (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (217 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Deep learning is changing everything. This machine learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework. Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data. Learn how to deploy deep learning models to production Explore PyTorch use cases in companies other than Facebook Learn how to apply transfer learning to images Apply cutting-edge NLP techniques using a model trained on Wikipedia
    Note: Online resource; Title from title page (viewed September 27, 2019)
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    Practical Automated Machine Learning on Azure (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (196 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you’ll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology. Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, you’ll understand how to apply Automated Machine Learning to your data right away. Learn how companies in different industries are benefiting from Automated Machine Learning Get started with Automated Machine Learning using Azure Explore aspects such as algorithm selection, auto featurization, and hyperparameter tuning Understand how data analysts, BI professionals, and developers can use Automated Machine Learning in their familiar tools and experiences Learn how to get started using Automated Machine Learning for use cases including classification and regression.
    Note: Online resource; Title from title page (viewed September 24, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492055587/?ar
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    Native Mobile Development (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (484 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Native Application Development will provide engineers with professionally developed and curated recipes for the 20 of the most common tasks that represent functionality seen in modern native iOS and Android applications. The selected tasks will provide a cross-reference for each platform–a modern Rosetta Stone, of sorts. A developer can look up an easily translatable set of instructions for completing a routine bit of functionality in both platforms in a way that follows best practices. Following that, we'll provide step-by-step direction to create a fully-functional application using modern practices and designs that will utilize those tasks, one in each platform. The development of the apps will be laid out side-by-side, so that the friction usually involved in switching between platforms while developing is greatly reduced. By the end of the book, the reader will have developed both an iOS app and an Android with exactly the same core features, as well as some additional features that are relevant and unique to each app’s operating system. This book will provide a blueprint for software engineers to create an app that will reach 99.9% of the smartphone market, while functioning as a Rosetta stone in multi-platform development. The reality of modern application development is that most developers will need to have some reference across platforms at some point, if not as a regular requirement.
    Note: Online resource; Title from title page (viewed November 13, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052869/?ar
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    MongoDB : The Definitive Guide, 3rd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (425 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; MongoDB ; NoSQL-Datenbanksystem
    Abstract: With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. Manage your data in a database system designed to support modern application development. The updated edition of this authoritative and accessible guide shows you the many advantages of using document-oriented databases, including how this secure, high-performance system enables flexible data models, high availability, and horizontal scalability. Written by current and former members of the MongoDB team, the third edition is updated for MongoDB 4.0. You’ll find substantial updates on querying, indexing, aggregation, replica sets, ops manager, sharding administration, data administration, durability, monitoring, and security. Authors Shannon Bradshaw (MongoDB) and Kristina Chodorow (Google) provide guidance for database developers, advanced configuration for system administrators, and use cases for a variety of projects. Ideal for NoSQL newcomers and experienced MongoDB users alike, this book also includes many real-world schema design examples.
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491954454/?ar
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    Modern Web Development on the JAMstack (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (123 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to run your web projects—everything from simple sites to complex applications—without a single server. It’s possible with the JAMstack, a modern web development architecture for deploying fast, highly-scalable sites and applications that don’t require traditional origin infrastructure. This practical report explains how the JAMstack delivers better performance, higher security, and lower cost of scaling than server-run web apps. Based on client-side J avaScript, reusable A PIs, and prebuilt M arkup, the JAMstack sits at the center of several converging trends and technologies already being used to support today’s web projects. Authors Mathias Biilmann and Phil Hawksworth from Netlify demonstrate how the JAMstack drastically improves performance, increases reliability, and reduces the surface for attacks. With this report, you’ll explore: Methods for solving web development challenges—from bloated legacy architecture to managing microservices Why the JAMstack’s cleaner architecture eliminates the need to scale sites up front How separating the frontend from your build process makes maintenance easier Best practices for adopting the JAMstack in your organization A case study that examines how Smashing Magazine applied the JAMstack for commerce, authentication and membership, and publishing at scale
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492058571/?ar
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    Microservices for Java Developers, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (117 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Is microservice architecture right for your organization? Microservices have many benefits, but they also come with their own set of drawbacks. With this updated edition, Java developers and architects will learn how to navigate popular application frameworks such Spring Boot and MicroProfile to deploy and manage microservices at scale with Linux containers. This hands-on, example-driven guide provides step-by-step instructions to help you get started. Adopting microservices requires much more than changes to your technology. Author Rafael Benevides, director of developer experience at Red Hat, also examines the organizational agility necessary to deliver these services. This concise ebook shows you how rapid feedback cycles, autonomous teams, and shared purpose are key to making microservices work. Learn why microservices require you to think differently about building, deploying, and operating cloud-native applications Design microservices using the popular Spring Boot and Eclipse MicroProfile frameworks Build an API gateway with Apache Camel to help clients access microservices Use Docker and Kubernetes to deploy microservices, regardless of language Run microservices at scale using cluster management, failover, and load-balancing techniques Use OpenTracing to monitor requests, response time, and the path of particular invocations
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038290/?ar
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    Mastering Spark with R (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (293 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions
    Note: Online resource; Title from title page (viewed October 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046363/?ar
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    Load Balancing in Microsoft Azure (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (38 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With more and more companies moving on-prem applications to the cloud, software and cloud solution architects alike are busy investigating ways to improve load balancing, performance, security, and high availability for workloads. This practical report describes Microsoft Azure’s load balancing options and explains how NGINX can contribute to a comprehensive solution. Cloud solution architect Arlan Nugara takes you through the steps necessary to design a practical solution for your network. Software developers and technical managers will learn how these technologies have a direct impact on application development and architecture. While the examples are specific to Azure, these load balancing concepts and implementations also apply to cloud providers such as AWS, Google Cloud Platform, DigitalOcean, and IBM Cloud. Understand load balancing—what it is and why it’s important Explore load balancing in Azure, including the traffic manager and application gateway Learn how NGINX Plus on Azure lets you create an ideal end-to-end application platform Walk through three load balancing options with Azure and NGINX Plus Explore security choices including NGINX management, NGINX Web Application Firewall, and Azure Firewall integration
    Note: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053934/?ar
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    Learning Apache OpenWhisk (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (391 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Serverless computing greatly simplifies software development. Your team can focus solely on your application while the cloud provider manages the servers you need. This practical guide shows you step-by-step how to build and deploy complex applications in a flexible multicloud, multilanguage environment using Apache OpenWhisk. You’ll learn how this platform enables you to pursue a vendor-independent approach using preconfigured containers, microservices, and Kubernetes as your cloud operating system. Michele Sciabarrà demonstrates how to build a serverless application using classical design patterns and the programming language or languages that best fit your task. You’ll start by building a simple serverless application hands-on before diving into the more complex aspects of the OpenWhisk platform. Examine how OpenWhisk’s serverless architecture works, including the use of packages, actions, sequences, triggers, rules, and feeds Learn how OpenWhisk compares to existing architectures, such as Java Enterprise Edition Manipulate OpenWhisk features using the command-line interface or a JavaScript API Design applications using common Gang of Four design patterns Use architectural design patterns such as model-view-controller to combine several OpenWhisk actions Learn how to test and debug your code in a serverless environment
    Note: Online resource; Title from title page (viewed July 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046158/?ar
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    Introducing Istio Service Mesh for Microservices, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (83 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Microservices fundamentally change the way you design enterprise software. By adding network dependencies to your application logic, you invite in a host of potential hazards that grow proportionally with the number of connections you make. With the updated edition of this practical ebook, application architects and development team leads will learn how to use the Istio service mesh to connect, manage, and secure microservices in order to create powerful cloud-native applications. Burr Sutter and his team at Red Hat introduce you to several key microservices capabilities that Istio provides on top of Kubernetes and OpenShift. You’ll learn how your application can offload service discovery, load balancing, resilience, observability, and security to Istio so you can focus on differentiating business logic. Dive into Istio with detailed examples of: Traffic control: Examine Istio patterns including smarter canaries and dark launches Service resiliency: Discover how Istio provides load balancing, circuit breaking, and pool ejection Chaos testing: Test your system’s ability to withstand turbulent conditions through fault injection Observability: Use tracing and metrics to learn the relationships between individual system components Security: Explore Istio’s security capabilities, such as mTLS, RBAC, and policy enforcement
    Note: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052630/?ar
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    Generative Deep Learning (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (327 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
    Note: Online resource; Title from title page (viewed June 28, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041931/?ar
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    Cloud Native Data Center Networking (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (478 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The kinds of analysis and data sharing that takes place in modern business relies on fast, robust communications among computer systems. Network architects, network operators, and even the designers of distributed applications need to understand architecture and communications protocols in the data center. And best practices have changed radically over the past decade. For the first time, you can find out what a modern data center looks like, thanks to this book by a leading network developer, Dinesh G. Dutt. This book offers both theory to ground your work and practical advice on topics, such as: Connecting systems in modern data centers Multitenancy How to automate common practices Proper monitoring Choices in routing protocols With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles.
    Note: Online resource; Title from title page (viewed November 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045595/?ar
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    Cloud Native (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (229 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Developers often struggle when first encountering the cloud. Learning about distributed systems, becoming familiar with technologies such as containers and functions, and knowing how to put everything together can be daunting. With this practical guide, you’ll get up to speed on patterns for building cloud native applications and best practices for common tasks such as messaging, eventing, and DevOps. Authors Boris Scholl, Trent Swanson, and Peter Jausovec describe the architectural building blocks for a modern cloud native application. You’ll learn how to use microservices, containers, serverless computing, storage types, portability, and functions. You’ll also explore the fundamentals of cloud native applications, including how to design, develop, and operate them. Explore the technologies you need to design a cloud native application Distinguish between containers and functions, and learn when to use them Architect applications for data-related requirements Learn DevOps fundamentals and practices for developing, testing, and operating your applications Use tips, techniques, and best practices for building and managing cloud native applications Understand the costs and trade-offs necessary to make an application portable
    Note: Online resource; Title from title page (viewed August 28, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053811/?ar
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    Building Intelligent Cloud Applications (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (154 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the application’s business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure. You’ll learn step-by-step how to code machine learning into your projects using Python and pre-trained models that include tools such as image recognition, speech recognition, and classification. You’ll also examine issues around deployment and continuous delivery including scaling, security, and monitoring. This book is divided into four parts: Cloud-based development: learn the basics of serverless computing with machine learning, functions as a service (FaaS), and the use of APIs Adding intelligence: create serverless applications using Azure Functions; learn how to use pre-built machine-learning and deep-learning models Deployment and continuous delivery: get up to speed with Azure Kubernetes Service, as well as Azure Security Center, and Azure Monitoring Application examples: deliver data at the edge, build conversational interfaces, and use convolutional neural networks for image classification
    Note: Online resource; Title from title page (viewed September 17, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052319/?ar
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    Arista Warrior, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (569 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Arista Networks has become a key player in software-driven cloud networking solutions for large data center, storage, and computing environments, and is poised to make an impact in other areas as well. In this updated edition, renowned trainer, consultant, and technical author Gary A. Donahue ( Network Warrior ) provides an in-depth, objective guide to Arista’s products. You’ll learn why the company’s network switches, software products, and Extensible Operating System (EOS) are so effective. Anyone who has or is pursuing networking certification (especially Arista’s own!) or who is just curious about why Arista is better will benefit from this book, especially entrenched administrators, engineers, or architects tasked with building an Arista network. Pick up this in-depth guide and find out how Arista can help both you and your company. Topics in the second edition include: Configuration Management: config sessions, config replace, and config checkpoints CloudVision: Arista’s management, workload orchestration, workflow automation, and configuration tool VXLAN: Layer 2 overlay networking FlexRoute: two million routes in hardware Tap Aggregation: make your switch or blade into a Tap Aggregation device Advanced Mirroring: mirror to a port-channel or even the CPU eAPI: Arista’s fabulous extended Application Programmable Interface
    Note: Online resource; Title from title page (viewed July 2, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491953037/?ar
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    AI for People and Business (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (314 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You’ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing—but too many AI initiatives end in failure. With this book, you’ll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You’ll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book’s AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend
    Note: Online resource; Title from title page (viewed July 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492036562/?ar
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    AI-Driven Analytics (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (36 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: What happens when you incorporate artificial intelligence into your analytics portfolio? A decade ago, business intelligence applications were simply trying to become more visual. Now, analytics software provides intuitive search and AI-driven features as an integral part of the experience. This practical ebook explains how business professionals like you can AI to find insights buried in your corporate data to make the right decision. Sean Zinsmeister, Andrew Yeung, and Ryan Garrett take you through the many benefits of AI-driven analytics for the enterprise. Analysts will be able to reduce analysis from days to minutes. Decision makers, whether they’re in the boardroom or on the frontlines, will find insights faster and deeper than is possible with static BI dashboards. This ebook explains how AI can increase data literacy by helping business people discover what to look for in the first place. Delve into the origins of AI and BI and see how the two evolved simultaneously Learn why AI requires database and analytics technologies that operate at massive volume and speed Understand common AI algorithms and applications used in analytics Explore the variety of technology choices for implementing AI Learn how nontechnical users can leverage AI to conduct analyses Examine AI-driven analytics in retail, financial services, manufacturing, and high tech
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492055785/?ar
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    Why Angular for Enterprise Development (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (57 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Enterprises looking to build robust, reliable, and performant applications are increasingly turning to Angular, a cross-platform solution for building mobile, desktop, and web apps. In this instructive guide, Lukas Ruebbelke and Brian Love take you through the key benefits that are helping enterprises of all stripes save time and money with Angular. You’ll explore Angular’s support for common enterprise patterns, its components and tools (including support for code generation, code hinting, and unit testing), and its vibrant ecosystem—all of which mean developers can get up and running immediately. You’ll also learn how Google (the creator of Angular), FedEx, and Capital One are using Angular to meet the needs of their customers, employees, vendors, suppliers, and more. You’ll discover: How Angular follows familiar patterns, including TypeScript, dependency injection, and Reactive Extensions for JavaScript Angular’s built-in modules for routing, fetching data, animations, and service worker integration for building progressive web applications Angular tools and components, including the Angular CLI, the Angular Console, and Nrwl Extensions The Angular ecosystem: Angular Material, Firebase, Ionic, and more How global organizations use Angular to build reliable, scalable applications
    Note: Online resource; Title from title page (viewed August 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492030294/?ar
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    Terraform : Up & Running, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (360 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on second edition, expanded and thoroughly updated for Terraform version 0.12 and beyond, shows you the fastest way to get up and running. Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform’s simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers. Explore changes from Terraform 0.9 through 0.12, including backends, workspaces, and first-class expressions Learn how to write production-grade Terraform modules Dive into manual and automated testing for Terraform code Compare Terraform to Chef, Puppet, Ansible, CloudFormation, and Salt Stack Deploy server clusters, load balancers, and databases Use Terraform to manage the state of your infrastructure Create reusable infrastructure with Terraform modules Use advanced Terraform syntax to achieve zero-downtime deployment
    Note: Online resource; Title from title page (viewed September 19, 2019)
    URL: lizenzpflichtig
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    Programming Quantum Computers (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (333 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Quantum computers are poised to kick-start a new computing revolution—and you can join in right away. If you’re in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer’s guide to understanding quantum computing. Rather than labor through math and theory, you’ll work directly with examples that demonstrate this technology’s unique capabilities. Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You’ll understand what quantum computers can do and learn how to identify the types of problems they can solve. This book includes three multichapter sections: Programming for a QPU —Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation. QPU Primitives —Learn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation. QPU Applications —Investigate how QPU primitives are used to build existing applications, including quantum search techniques and Shor’s factoring algorithm.
    Note: Online resource; Title from title page (viewed July 8, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492039679/?ar
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    Practical Time Series Analysis (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (497 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance
    Note: Online resource; Title from title page (viewed October 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041641/?ar
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    Practical Data Science with SAP (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (330 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data. Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths. You'll explore: Examples of how data analysis can help you solve several SAP challenges Natural language processing for unlocking the secrets in text Data science techniques for data clustering and segmentation Methods for detecting anomalies in your SAP data Data visualization techniques for making your data come to life
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046431/?ar
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  • 80
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    Learning Chaos Engineering (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (175 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most companies work hard to avoid costly failures, but in complex systems a better approach is to embrace and learn from them. Through chaos engineering, you can proactively hunt for evidence of system weaknesses before they trigger a crisis. This practical book shows software developers and system administrators how to plan and run successful chaos engineering experiments. System weaknesses go beyond your infrastructure, platforms, and applications to include policies, practices, playbooks, and people. Author Russ Miles explains why, when, and how to test systems, processes, and team responses using simulated failures on Game Days. You’ll also learn how to work toward continuous chaos through automation with features you can share across your team and organization. Learn to think like a chaos engineer Build a hypothesis backlog to determine what could go wrong in your system Develop your hypotheses into chaos engineering experiment Game Days Write, run, and learn from automated chaos experiments using the open source Chaos Toolkit Turn chaos experiments into tests to confirm that you’ve overcome the weaknesses you discovered Observe and control your automated chaos experiments while they are running
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492050995/?ar
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  • 81
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    Learning CoreDNS (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (203 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Until recently, learning CoreDNS required reading the code or combing through the skimpy documentation on the website. No longer. With this practical book, developers and operators working with Docker or Linux containers will learn how to use this standard DNS server with Kubernetes. John Belamaric, senior staff software engineer at Google, and Cricket Liu, chief DNS architect at Infoblox, show you how to configure CoreDNS using real-world configuration examples to achieve specific purposes. You’ll learn the basics of DNS, including how it functions as a location broker in container environments and how it ties into Kubernetes. Dive into DNS theory: the DNS namespace, domain names, domains, and zones Learn how to configure your CoreDNS server Manage and serve basic and advanced zone data with CoreDNS Configure CoreDNS service discovery with etcd and Kubernetes Learn one of the most common use cases for CoreDNS: the integration with Kubernetes Manipulate queries and responses as they flow through the plug-in chain Monitor and troubleshoot the availability and performance of your DNS service Build custom versions of CoreDNS and write your own plug-ins
    Note: Online resource; Title from title page (viewed September 9, 2019)
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  • 82
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    Kubernetes : Up and Running, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (275 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Kubernetes radically changes the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. The updated edition of this practical book shows developers and ops personnel how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency. Kelsey Hightower, Brendan Burns, and Joe Beda—who’ve worked on Kubernetes at Google and beyond—explain how this system fits into the lifecycle of a distributed application. You’ll learn how to use tools and APIs to automate scalable distributed systems, whether it’s for online services, machine learning applications, or a cluster of Raspberry Pi computers. Create a simple cluster to learn how Kubernetes works Dive into the details of deploying an application using Kubernetes Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets Explore deployments that tie together the lifecycle of a complete application Get practical examples of how to develop and deploy real-world applications in Kubernetes
    Note: Online resource; Title from title page (viewed October 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046523/?ar
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  • 83
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    Istio : Up and Running (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (268 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: You did it. You successfully transformed your application into a microservices architecture. But now that you’re running services across different environments—public to public, private to public, virtual machine to container—your cloud native software is beginning to encounter reliability issues. How do you stay on top of this ever-increasing complexity? With the Istio service mesh, you’ll be able to manage traffic, control access, monitor, report, get telemetry data, manage quota, trace, and more with resilience across your microservice. In this book, Lee Calcote and Zack Butcher explain why your services need a service mesh and demonstrate step-by-step how Istio fits into the life cycle of a distributed application. You’ll learn about the tools and APIs for enabling and managing many of the features found in Istio. Explore the observability challenges Istio addresses Use request routing, traffic shifting, fault injection, and other features essential to running a solid service mesh Generate and collect telemetry information Try different deployment patterns, including A/B, blue/green, and canary Get examples of how to develop and deploy real-world applications with Istio support
    Note: Online resource; Title from title page (viewed October 18, 2019)
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  • 84
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    Getting Your Data Ready for AI (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (23 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Despite the enthusiasm for AI, a recent survey reveals that few organizations have adopted this technology in any meaningful way. One reason is the tedious process of accessing, labeling, and transforming data—known as data wrangling—that consumes 80% of a data scientist’s time. There’s a better way to model data. This practical ebook explores a new crop of self-service data preparation tools and services, including IBM Watson Studio, for automating data wrangling. Featuring interviews with data analytics experts, including Alex Castrounis (InnoArchiTech), Jay Limburn (IBM), and Katharine Jarmul ( Data Wrangling with Python ) among others, this ebook examines key barriers to capturing value from AI processes, including problems with data access and preparation. Author Kate Shoup shows data scientists and analysts how Watson Studio and other self-service tools enable domain experts, developers, and business analysts to practice data science. Get an overview of data science and learn how it differs from data analysis Examine a typical AI workflow, including challenges that surface at each step of the data wrangling process Learn solutions to AI workflow challenges, including the use of data catalogs to help you access and prep data Dive into Watson Studio and learn how the platform combines data catalogs with support for data science tools in one environment Evaluate a Watson Studio example and explore real-world use cases
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492042419/?ar
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    Getting DataOps Right (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Many large organizations have accumulated dozens of disconnected data sources to serve different lines of business over the years. These applications might be useful to one area of the enterprise, but they’re usually inaccessible to other data consumers in the organization. In this short report, five data industry thought leaders explore DataOps—the automated, process-oriented methodology for making clean, reliable data available to teams throughout your company. Andy Palmer, Michael Stonebraker, Nik Bates-Haus, Liam Cleary, and Mark Marinelli from Tamr use real-world examples to explain how DataOps works. DataOps is as much about changing people’s relationship to data as it is about technology, infrastructure, and process. This report provides an organizational approach to implementing this discipline in your company—including various behavioral, process, and technology changes. Through individual essays, you’ll learn how to: Move toward scalable data unification (Michael Stonebraker) Understand DataOps as a discipline (Nik Bates-Haus) Explore the key principles of a DataOps ecosystem (Andy Palmer) Learn the key components of a DataOps ecosystem (Andy Palmer) Build a DataOps toolkit (Liam Cleary) Build a team and prepare for future trends (Mark Marinelli)
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492031765/?ar
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    Emerging Programming Languages (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: C++, Java, Python, and other established programming languages may yet be with us for a long time, but our current software development landscape has given rise to new languages that benefit from the lessons learned over decades of programming. In this report, you’ll examine six of the fastest-growing programming languages: Crystal, Elixir, Elm, Julia, Kotlin, and Rust. The O’Reilly editorial team covers the issues that drive modern language development and provides an overview of each language’s origins, features, usage, and trends. You’ll learn the answers to several key questions: Why are these languages important to software developers and the programming community? What makes them good at challenging other, more established languages? What problems do they solve for programmers and software architects? This report examines: Issues addressed by these modern languages such as concurrency, visibility, environment, syntax, robustness, data types, and functions The purpose that motivated each language’s creation, as well as choices and trade-offs made in the process Unique features that each language offers to programmers What their rapid rise reveals about the shifting ecosystem
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492082590/?ar
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    Concurrency in C# Cookbook, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (251 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: If you’re one of many developers still uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 85 code-rich recipes in this updated second edition, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques using libraries and language features in .NET and C# 8.0. Concurrency is now more common in responsive and scalable application development, but it’s still extremely difficult to code. The detailed solutions in this cookbook show you how modern tools raise the level of abstraction, making concurrency much easier than before. Complete with ready-to-use code and discussions about how and why solutions work, these recipes help you: Get up to speed on concurrency and async and parallel programming Use async and await for asynchronous operations Enhance your code with asynchronous streams Explore parallel programming with .NET’s Task Parallel Library Create dataflow pipelines with .NET’s TPL Dataflow library Understand the capabilities that System.Reactive builds on top of LINQ Utilize threadsafe and immutable collections Learn how to conduct unit testing with concurrent code Make the thread pool work for you Enable clean, cooperative cancellation Examine scenarios for combining concurrent approaches Dive into asynchronous-friendly object-oriented programming Recognize and write adapters for code using older asynchronous styles
    Note: Online resource; Title from title page (viewed August 27, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492054498/?ar
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    Think Java, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (322 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards The updated second edition of Think Java also features new chapters on polymorphism and data processing, as well as content covering changes through Java 12.
    Note: Online resource; Title from title page (viewed November 29, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492072492/?ar
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    TinyML (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size—small enough to work on the digital signal processor in an Android phone. With this practical book, you’ll learn about TensorFlow Lite for Microcontrollers, a miniscule machine learning library that allows you to run machine learning algorithms on tiny hardware. Authors Pete Warden and Daniel Situnayake explain how you can train models that are small enough to fit into any environment, including small embedded devices that can run for a year or more on a single coin cell battery. Ideal for software and hardware developers who want to build embedded devices using machine learning, this guide shows you how to create a TinyML project step-by-step. No machine learning or microcontroller experience is necessary. Learn practical machine learning applications on embedded devices, including simple uses such as speech recognition and gesture detection Train models such as speech, accelerometer, and image recognition, you can deploy on Arduino and other embedded platforms Understand how to work with Arduino and ultralow-power microcontrollers Use techniques for optimizing latency, energy usage, and model and binary size
    Note: Online resource; Title from title page (viewed December 25, 2019)
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    The Experience-Centric Organization (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (266 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Is your organization prepared for the next paradigm of customer experience, or will you be left behind? This practical book will make you a winner in a market driven by experience, enabling you to develop desirable offerings and standout service to attract loyal customers. Author Simon Clatworthy shows you how to transform your organization into one that aligns your customers’ experiential journey with platforms, organizational structures, and strategic alliances. Rather than treat customer experience as an add-on to product and service design, you’ll discover how experience-centricity can drive the whole organization. Learn the five steps necessary to transform into an experience-centric organization Explore the underlying structure needed to design and deliver memorable experiences Understand how customers and clients experience products and services Develop experiential DNA as an extension of your brand DNA Be proactive by translating cultural trends into experiences
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045762/?ar
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    Practical Deep Learning for Cloud, Mobile, and Edge (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (618 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
    Note: Online resource; Title from title page (viewed October 17, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492034858/?ar
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    Machine Learning Pocket Reference (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (318 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines
    Note: Online resource; Title from title page (viewed August 29, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492047537/?ar
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    Digital Transformation Game Plan (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (361 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The Digital Age is having a broad and profound impact on companies and entire industries. Rather than simply automate or embed digital technology into existing offerings, your business needs to rethink everything. In this practical book, three ThoughtWorks professionals provide a game plan to help your business through this transformation, along with technical concepts that you need to know to be an effective leader in a modern digital business. Chock-full of practical advice and case studies that show how businesses have transitioned, this book reveals lessons learned in guiding companies through digital transformation. While there’s no silver bullet available, you’ll discover effective ways to create lasting change at your organization. With this book, you’ll discover how to: Realign the business and operating architecture to focus on customer value Build a more responsive and agile organization to deal with speed and ambiguity Build next generation technology capability as a core differentiator
    Note: Online resource; Title from title page (viewed October 30, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492054382/?ar
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    iPhone : The Missing Manual, 13th Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (719 pages)
    Edition: 13th edition
    Keywords: Electronic books ; local
    Abstract: The iPhone 11, 11 Pro, 11R, and 11Max are faster than ever and have more powerful cameras. With the latest edition of this bestselling guide, you get a funny, gorgeously illustrated guide to the tips, shortcuts, and workarounds that will turn you into an iPhone master. Written by David Pogue—Missing Manual series creator, New York Times columnist, and Emmy-winning tech correspondent for CNBC, CBS, and NPR—this update shows you everything you need to know about new iPhone features and the iOS 13 user interface. Pick up this beautiful full-color book and learn how to get the most out of your iPhone.
    Note: Online resource; Title from title page (viewed November 5, 2019)
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    Kubernetes Best Practices (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (254 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: You’ve studied the theory and procedures behind Kubernetes, and now it’s time to put that knowledge into practice. Whether you’re planning to move existing applications or build new ones with containers and Kubernetes, this practical guide provides best practices for everything from CI/CD and RBAC to application design, deployments, and experiments. You’ll learn exactly what you need to know to build your best app with Kubernetes the first time. Four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container-orchestration system, based on the experiences of companies that are running Kubernetes in production successfully. Many of the best practices are also backed by concrete code examples. This book is ideal for those already familiar with basic Kubernetes concepts who want to learn common best practices.
    Note: Online resource; Title from title page (viewed October 31, 2019)
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    Kotlin Cookbook (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (204 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Kotlin is the fastest-growing "alternative" language on the JVM, and its use is becoming pervasive in Android, native applications, and other areas. Other books on Kotlin teach the language in the traditional manner. The appeal of a cookbook is that it lets you find exactly the techniques you need exactly when you need them. This book will be a daily reference for existing Kotlin developers and those programmers learning to apply the language to new areas.
    Note: Online resource; Title from title page (viewed November 5, 2019)
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    Introducing Python, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (627 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.
    Note: Online resource; Title from title page (viewed November 13, 2019)
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    Cloud FinOps (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Despite many uncertainties in cloud computing, one truth is evident: costs will always tend to go up unless you’re actively engaged in the process. Whether you’re new to managing cloud spend or a seasoned pro, this book will clarify the often misunderstood workings of cloud billing fundamentals and provide expert strategies on creating a culture of cloud cost management in your organization. Drawing on real-world examples of successes and failures of large-scale cloud spenders, this book outlines a road map for building a culture of FinOps in your organization. Beginning with the fundamental concepts required to understand cloud billing concepts, you’ll learn how to enable an efficient and effective FinOps machine. Learn how the cloud works when it comes to financial management Set up a FinOps team and build a framework for making spend efficiency a priority Examine the anatomy of a cloud bill and learn how to manage it Get operational recipes for maximizing cloud efficiency Understand how to motivate engineering teams to take cost-saving actions Explore the FinOps lifecycle: Inform, Optimize, and Operate Learn the DNA of a highly functional cloud FinOps culture
    Note: Online resource; Title from title page (viewed December 24, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492054610/?ar
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    Hands-On Smart Contract Development with Solidity and Ethereum (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (270 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to design, develop, and deploy smart contracts on the Ethereum blockchain. With this practical book, software developers with a high-level understanding of the blockchain will use the Solidity programming language to write decentralized applications (dApps) using the web3.js library. Smart contracts have allowed technologists to create a new breed of software systems that have ushered in the next revolution in human organization. Kevin Solorio, Randall Kanna, and David Hoover teach you the fundamentals of Solidity, as well as key topics such as unit testing, deployment, and preventing security vulnerabilities. You'll also learn how to leverage the built-in public/private key cryptography in the Ethereum protocol. Learn the fundamentals of how the Ethereum blockchain works Setup a local Ethereum client using Parity Develop and test secure smart contracts using Solidity and Vyper Learn how to deploy smart contracts Interact with your smart contract using Web3 (JavaScript) Work with hands-on examples and walkthroughs of common scenarios
    Note: Online resource; Title from title page (viewed December 2, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045250/?ar
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  • 100
    Online Resource
    Online Resource
    C# 8.0 Pocket Reference (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (246 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: When you need answers about using C# 8.0, this tightly focused and practical book tells you exactly what you need to know without long intros or bloated samples. Easy to browse, C# 8.0 Pocket Reference is ideal as a quick source of information or as a guide to get you rapidly up to speed if you already know Java, C++, or an earlier C# version. All programs and code snippets are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the author of C# 7.0 in a Nutshell , this pocket reference covers C# 8.0 without skimping on detail, including: C# fundamentals and features new to C# 8.0 Advanced topics like operator overloading, type constraints, iterators, nullable types, operator lifting, lambda expressions, and closures LINQ: sequences, lazy execution, standard query operators, and query expressions Unsafe code and pointers, custom attributes, preprocessor directives, and XML documentation
    Note: Online resource; Title from title page (viewed November 19, 2019)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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