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  • 1
    Online-Ressource
    Online-Ressource
    Building Machine Learning Pipelines (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (275 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed August 25, 2020)
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  • 2
    Online-Ressource
    Online-Ressource
    Using Asyncio in Python (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (150 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2020)
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  • 3
    Online-Ressource
    Online-Ressource
    Threat Modeling (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (200 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed April 25, 2020)
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  • 4
    Online-Ressource
    Online-Ressource
    Practical Statistics for Data Scientists, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (93 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed May 25, 2020)
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  • 5
    Online-Ressource
    Online-Ressource
    Mastering Blockchain (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (50 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed October 25, 2020)
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  • 6
    Online-Ressource
    Online-Ressource
    Full Stack Serverless (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (52 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed November 25, 2020)
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  • 7
    Online-Ressource
    Online-Ressource
    Arduino Cookbook, 3rd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (800 pages)
    Ausgabe: 3rd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed April 25, 2020)
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  • 8
    Online-Ressource
    Online-Ressource
    Learning Spark, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (300 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed June 25, 2020)
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  • 9
    Online-Ressource
    Online-Ressource
    Enterprise Architecture Patterns with Python (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (280 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed April 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492052197/?ar
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  • 10
    Online-Ressource
    Online-Ressource
    Programming PHP, 4th Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (540 pages)
    Ausgabe: 4th edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed April 25, 2020)
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  • 11
    Online-Ressource
    Online-Ressource
    Practical Natural Language Processing (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (375 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed May 25, 2020)
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  • 12
    Online-Ressource
    Online-Ressource
    Python for DevOps (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (451 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed January 3, 2020)
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  • 13
    Online-Ressource
    Online-Ressource
    Mastering Serverless Applications with Google Cloud Run (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (37 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 25, 2020)
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  • 14
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    Online-Ressource
    Lean AI (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (210 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492059301/?ar
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  • 15
    Online-Ressource
    Online-Ressource
    Java Performance, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (450 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed February 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492056102/?ar
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  • 16
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    Online-Ressource
    High Performance Python, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (87 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed June 25, 2020)
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  • 17
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    Online-Ressource
    Laws of UX : using psychology to design better products & services (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (58 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als Yablonski, Jon Laws of UX
    RVK:
    QP 624
    Schlagwort(e): Electronic books ; local ; Webdesign ; Gebrauchsgrafik ; Mensch-Maschine-Kommunikation ; Benutzerfreundlichkeit ; Verhaltenspsychologie
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed April 25, 2020)
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  • 18
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    Online-Ressource
    JavaScript Everywhere (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (300 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2020)
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  • 19
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    Modern System Administration (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (300 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 25, 2020)
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    Distributed Tracing in Practice (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (350 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed June 25, 2020)
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    Building Machine Learning Powered Applications (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (250 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed February 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492045106/?ar
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    Programming AWS Lambda (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (224 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed February 25, 2020)
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    JavaScript : The Definitive Guide, 7th Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (232 pages)
    Ausgabe: 7th edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed July 25, 2020)
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    Innovative Tableau (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (56 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 25, 2020)
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    Fundamentals of Software Architecture (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781492043423 , 1492043427 , 9781492043409 , 1492043400
    Sprache: Englisch
    Seiten: 1 online resource (500 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 005.12
    Schlagwort(e): Software architecture ; Software architecture Vocational guidance ; Electronic books ; local ; Architecture logicielle ; Architecture logicielle ; Orientation professionnelle ; Software architecture
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed February 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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    Sprache: Englisch
    Seiten: 1 online resource (66 pages)
    Ausgabe: 3rd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 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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    Sprache: Englisch
    Seiten: 1 online resource (300 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed June 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492057161/?ar
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    The Practitioner's Guide to Graph Data (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (250 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed April 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492044062/?ar
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    Kubernetes Operators (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (150 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492048039/?ar
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    Web Application Security (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (51 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed June 25, 2020)
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    Natural Language Processing with Spark NLP (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (94 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 25, 2020)
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    Java Cookbook, 4th Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (600 pages)
    Ausgabe: 4th edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed April 25, 2020)
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    Building Secure and Reliable Systems (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (600 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2020)
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    The Enterprise Big Data Lake (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (221 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491931547/?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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    Sprache: Englisch
    Seiten: 1 online resource (330 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046431/?ar
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    Spotlight on Innovation : Predicting the Next Big Breakthrough with Nima Montazeri (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 57 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: With new technologies increasing the pace of innovation every day, companies demand a constant supply of fresh ideas. To be successful, an innovation process must deliver two things: a superior solution and a great market response. Once you have the former, how do you ensure the latter? It all starts by examining the key dimensions of a technology’s evolution and understanding how it’s delighting customers. Learn how to make better decisions about where to focus your innovation efforts and money. You’ll also find out—through two case studies—how backing the right industry innovations can pay off for your organization in a major way. Recorded on April 10, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed August 29, 2019)
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    Spotlight on Cloud : Becoming Cloud Native with Jon Collins (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Startups seem to come out of nowhere, disrupting their markets and leaving traditional organizations to ask themselves how they too can adopt cloud-centric models and approaches. But just how realistic is this? Today’s enterprises are sometimes criticized for legacy thinking, but they also have to bear the burden of infrastructure, supply chains, security, governance frameworks, and customer drivers that can’t be changed at the flick of the switch. Here's the good news: enterprise concerns and cloud native principles may be better aligned than you think. Flexible infrastructure is becoming a staple of modern data centers. Microservices models align with software architecture best practices, while Agile innovation approaches such as DevOps are maturing in governance. At the same time, cybersecurity and risk management is an area of traditional strength, and operational principles used in the enterprise are as important as ever. Find out how businesses can adopt cloud native principles without throwing away what it means to be an enterprise. Recorded on May 2, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
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    O'Reilly Velocity Conference 2019 - San Jose, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 61 hr., 11 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: O’Reilly Media’s Velocity San Jose 2019 conference had one overarching goal: offer conference attendees the opportunity to gather expert insight on building and maintaining cloud native systems. How did Velocity meet that goal? By giving the world’s best cloud native system engineers, SREs, and DevOps experts the chance to share their experiences. For example: Alex Chen (Alibaba Cloud) described how cloud native storage products such as table storage, object storage, and log storage enabled the Alibaba platform to handle RMB 10B worth of sales in two minutes and five seconds. Ory Segal's (PureSec) revealed how attackers approach and exploit the weaknesses of serverless and what you can do about it. Nivia Henry (Spotify) demonstrated how an algorithm is built and what you can do to catch, reduce, or eliminate the algorithmic biases that produce infamous events like Tay the racist Twitter Bot. This video compilation contains all of these talks plus the best keynotes, tutorials, and tech sessions delivered at Velocity San Jose 2019. Looking to build your knowledge of how to build and maintain cloud native systems? Get this compilation and you’ll be on your way. Highlights include: Complete video recordings of Velocity San Jose 2019’s best tutorials, keynote speeches, and technical sessions—contains hours of material to review and study at your own pace and schedule. Cloud engineering tutorials, such as Patrick Meenan (Facebook) on fixing broken HTTP/2 deployments; Michael Kehoe (LinkedIn) on using Terraform to modernize your cloud infrastructure; and Ben Bleything (Google) on using the open source InSpec framework to build infrastructure and compliance tests. Keynotes from luminaries such as Liz Fong-Jones (Honeycomb), Everett Harper (Truss), Julie Horvath (Apple), Alex Qin (Code Cooperative), Lena Hall (Microsoft), and Jessica Kerr (Atomist). Sessions devoted to building secure and resilient systems, including Ian Coldwater’s (Independent) deep dive into Kubernetes CVE-2018-1002105 protections and Nora Jones (Slack) on the advanced approaches required for each piece of the chaos experiments cycle. Special sessions called “Overcoming Obstacles: Lessons in Resilience,” featuring the stories of cloud engineering success in the face of overwhelming barriers from practitioners such as Ryan Kitchens (Netflix), Tim Bonci (Vistaprint), and Tammy Butow (Gremlin). Sessions covering production engineering, SRE, and DevOps, including Charity Majors (Honeyco...
    Anmerkung: Online resource; Title from title screen (viewed June 12, 2019)
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    What Is SRE? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (38 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed June 25, 2019)
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    Emerging Programming Languages (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (35 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492082590/?ar
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    Spotlight on Learning from Failure : Data Ethics Is Good Business with Heather Krause (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 58 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Ethical lapses aren’t just embarrassing and expensive—they can put your organization at serious risk in a number of ways and damage its reputation and bottom line. If you collect any kind of data, you’re more vulnerable to ethical errors than you may realize. From acquisition and model-building to algorithms, it’s critical to view all aspects of data science through an ethical lens and implement best practices to ensure accuracy. We need only look to some very public failures as proof. Learn about three cases when data ethics mistakes cost companies both money and trust—and how your business can avoid their mistakes. Recorded on January 29, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Anmerkung: Online resource; Title from title screen (viewed August 27, 2019)
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    Spotlight on Innovation : Building Resilient Systems with Heidi Waterhouse (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 57 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: LaunchDarkly’s Heidi Waterhouse shares some of the biggest challenges in feature management. In a perfect world, we’d develop tidy, discrete features that are easy to manage. But in reality, we’re often struggling with a complicated snarl of features that are difficult to test and deploy. Heidi explains how you can use feature management design to build modular, testable, resilient systems. Recorded on April 23, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed September 17, 2019)
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    Programming PyTorch for Deep Learning (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (217 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 27, 2019)
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    Programming C# 8.0 (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (801 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed December 20, 2019)
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    DevOps Automation with Terraform and VMware (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (35 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492073765/?ar
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    Database Internals (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (370 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed October 8, 2019)
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    Deep Learning from Scratch (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (250 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041405/?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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    Sprache: Englisch
    Seiten: 1 online resource (478 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed November 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045595/?ar
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    Artificial Intelligence Conference 2019 - Beijing, China (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: A unique keynote speech by Yangqing Jia, the leader of Alibaba’s AI and Big Data organization. A revealing talk by Ion Stoica (UC Berkeley) describing some the AI projects underway at UC Berekely's renowned RISELab. A thoughtful presentation by Long Wang, VP of TenCent Cloud, illustrating what TenCent believes AI will do for the cloud. These are just three of the illuminating talks given by the many AI experts from China, the U.S., and elsewhere who gathered to speak at O'Reilly Media's Artificial Intelligence Conference Beijing June 2019. This video compilation gives you the opportunity to see all of the best presentations from AI Beijing—it contains more than 60 hours of material to review on your schedule. AI Beijing's unique focus is applied AI—bridging the gap between AI developments in research and their commercial applications in business and industry. If you want to understand how AI will change the business landscape, or are working with deep learning or AI (or plan to be)— this video compilation is for you. Highlights include: Complete video recordings from the best of AI Beijing June 2019—this video compilation contains hours of material to review at your own schedule. 55% of the presentations are in English, 42% are in Chinese, and 3% are in English and Chinese. Keynote speeches by AI thought leaders such as Maria Zhang (LinkedIn), Pete Warden (Google Brain Team), Michael James (Cerebras), Hao Zheng (PlusAI), and Tim Kraska (MIT). Tutorials in Chinese, including Intels' Zhen Zhao's exploration into the OpenVINO toolkit and Microsoft's Henry Zeng, Lu Zhang, and Xiao Zhang's introduction to automated machine learning using Python and AutoML. Tutorials in English, such as Alejandro Saucedo's (The Institute for Ethical AI & Machine Learning) practical guide to de-mystifying machine learning bias and Richard Liaw (UC Berkeley RISELab) on how to build reinforcement learning models and AI applications with Ray. "Implementing AI" sessions presented in Chinese, such as Zhenxiao Luo (Uber) on how to run big data and machine learning systems at scale; Hui Xue (Microsoft) on the latest automated machine learning advances at Microsoft Research Asia; and Guoqiong Song (Intel) and Luyang Wang (Office Depot) on how Home Depot's real-time recommendation system was built using Analytics Zoo on BigDL and Apache Spark "Implementing AI sessions" delivered in English, including Google's Kaz Sato's examination of ML operations and Kubeflow pipelines; Rak...
    Anmerkung: Online resource; Title from title screen (viewed June 28, 2019)
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    AI for People and Business (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (314 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492036562/?ar
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    Spotlight on Learning from Failure : Stablecoin Derisks The Blockchain Landscape with Wayne Chang (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 55 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Stablecoins—cryptocurrencies designed to avoid volatility—have been tried various times in the past with little to no success. Today, they're seeing a resurgence, as multiple firms work to develop their own stablecoins in an effort to solve the volatility crisis in cryptocurrency. Although nascent, these deployments have seen a wide amount of traction with both trading and application. But does the increased interest in stablecoins actually assuage the volatility crisis, and what does it mean for the future of blockchain-enabled businesses? In this edition of Spotlight on Learning from Failure , find out how stablecoins work, what opportunities and risks they present, and what to expect in the future with regard to the greater blockchain landscape. Wayne Chang will explain the history of stablecoins, how they solve for volatility issues in businesses and applications, and how they’ve been implemented over time. Wayne will also discuss the trade-offs between different stablecoins and how they fit into existing business models in order to drive value. Recorded on May 28, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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    Spotlight on Innovation : How Blockchain Will Change Your Business with Alison McCauley (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 53 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Blockchain: there’s a lot of excitement around this technology that decentralizes data, and even more opportunity. Ultimately, a business and social strategy that integrates blockchain can have a major impact on your organization, making it more efficient and increasing transparency. Recorded on January 9, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed August 1, 2019)
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    Spotlight on Innovation : AI Trends with Roger Chen (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 59 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Artificial intelligence can be intimidating. There are complex, sticky challenges of data collection and verification, algorithms and bias, and deploying AI services to production, plus ever-expanding ethical concerns. New trends in hardware, algorithms, tools, and data ecosystems are quickly transforming AI into a must-have for today’s organizations. Progress is accelerating, but so are obstacles; a successful, real-world implementation of AI depends on balancing many interdependent concerns. Recorded on March 13, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
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    Spotlight on Cloud : The Hidden Costs of Kubernetes with Bridget Lane (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: If you’re considering Kubernetes, you’ve probably thought about the potential time and cost savings you could stand to gain. At Gannett and USA TODAY, migrating to Kubernetes cut their daily infrastructure spend in half and reduced their network failover time from almost four hours to about 10 minutes. These are huge savings for any company. That said, there were a number of costs to migrating that they didn't anticipate. Gannett’s migration to Kubernetes had a ripple effect through its entire stack—from its CI pipelines to its approach to monitoring and even employee happiness. In this case study, Bridget Lane, Gannett’s manager of developer solutions, details the problems her team faced while migrating and explain how they dealt with them. Recorded on September 19, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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    Short-range Wireless Communication, 3rd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Newnes | Boston, MA : Safari
    Details
    ISBN: 9780128154069
    Sprache: Englisch
    Seiten: 1 online resource (462 pages)
    Ausgabe: 3rd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Short-range Wireless Communication, Third Edition, describes radio theory and applications for wireless communication with ranges of centimeters to hundreds of meters. Topics covered include radio wave propagation, the theory of antennas and transmission lines, architectures of transmitters, and radio system design guidelines as a function of basic communication parameters, such as sensitivity, noise and bandwidth. Topics new to this edition include MIMO, metamaterials, inductance coupling for loop antennas, very high throughput Wi-Fi specifications, Bluetooth Low Energy, expanded coverage of RFID, wireless security, location awareness, wireless sensor networks, Internet of Things, millimeter wave and optical short-range communications, body area networks, energy harvesting, and more. Engineers, programmers, technicians and sales management personnel who support short-range wireless products will find the book a comprehensive and highly readable source to boost on-the-job performance and satisfaction. Presents comprehensive, up-to-date coverage of short-range wireless technologies Provides an in-depth explanation of wave propagation and antennas Describes communication system components and specifications, including transmitters, receivers, frequency synthesizers, sensitivity, noise, distortion, and more Includes an introduction to error detection and correction
    Anmerkung: Online resource; Title from title page (viewed August 1, 2019)
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    Scrum, Lean, Design Thinking, Kanban, and XP (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Scrum...Lean...Design Thinking...Get past juggling the jargon, and use this guide to find an approach that gets your team building the right thing, and building the thing right.
    Anmerkung: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038962/?ar
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    Turn devices into data scientists—at the edge (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 36 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Today’s approach to processing streaming data is based on legacy big-data centric architectures, the cloud, and the assumption that organizations have access to data scientists to make sense of it all—leaving organizations increasingly overwhelmed. Simon Crosby (SWIM.AI) shares a new architecture for edge intelligence that turns this thinking on its head. Edge intelligence (encompassing analytics, learning and prediction, and edge computing) can frequently be accomplished on the fly on streaming data, cheaply, at the edge, without data scientists. Simon demonstrates how you can save up to $5,000 a month in cloud processing and storage costs while delivering accurate predictions that can transform outcomes, using well-established architectural pillars, such as the distributed actor model, to process voluminous real-time data at the edge, along with the rich commons of open source analytics and learning tools like Flink and Spark, on nothing more than a $200 device such as an NVIDIA Jetson. The key insight is to use streaming data to build a digital twin model on the fly at the edge, avoiding a ton of complexity and infrastructure costs. Instead, a user defines the entities in their environment (e.g., traffic intersections, compressors, or assembly robots) that deliver data. Using the stateful distributed actor model, you can dynamically build a digital twin (actor) model of the real-world from the data, linking twins based on their relationships. Each digital twin reduces, labels, and analyzes its data and self-trains a machine learning model to predict future performance, at the edge, discarding the original data. This method needs only a tiny fraction of the resources of a big data solution and delivers results in real time. As a result, it bypasses the dev, ops, and data science challenges of edge intelligence, effectively turning devices into data scientists—or at least, building data science twins for entities in the real world. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Web Performance as a Competitive Advantage (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492039921/?ar
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    Think Java, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (322 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed November 29, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492072492/?ar
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    Test in production : Yes, you can (and you should) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 32 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Testing in production has gotten a bad rap. People act like testing in production implies you aren’t doing due diligence with your tests before production. But it’s more like a fact of life: you can only catch the easy bugs in staging—the known-unknowns, the things you predicted would fail, and the things that have failed before. Which isn’t nothing, but it’s no better than running tests on your laptop. Most interesting problems are only going to manifest under real workloads, on real data, with real users doing unpredictable things under real concurrency and resource pressure. So you should use much fewer of your scarce engineering cycles poring over staging and much more of them building guard rails for prod. Production—where your customers live—is the only environment that matters. Time spent interacting with nonprod systems is wasted time. Replicas are not valuable for helping build your instincts, your skill set, your intuition. Secondary environments actually train you to expect faulty assumptions and to take dangerous shortcuts and run terrifying commands. You should force people to develop and test on production as much as possible and interact with production every day. Charity Majors (Honeycomb) dives into tooling and shares ways to harden production and make it safe for engineers to do their work directly on it—from deploys and canarying to feature flags, instrumentation and observability, human practices and workflows, and much more. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Product Design vs. Design Thinking (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Product design tends to jump between business thinking and creative thinking, but design thinking blends them together. This infographic describes the skillset and processes behind product design and design thinking.
    Anmerkung: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492031888/?ar
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    Spotlight on Data : Data Storytelling with Mico Yuk (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 56 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The power of storytelling has long been used in Hollywood to engage viewers and generate billions of dollars in sales. However, data storytelling, while highly trendy, is frequently misused and often limited to pretty charts. In this Spotlight on Data , learn how to use the power of storytelling with your data to skyrocket user engagement. Get your users to take action by implementing a few proven techniques. Recorded on July 15, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed July 30, 2019)
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    Spotlight on Data : Caching Big Data for Machine Learning at Uber with Zhenxiao Luo (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven machine learning to create seamless trip experiences. Within engineering, big data and machine learning inform decision-making processes across the board. As Uber expands to new markets, the ability to accurately and quickly use data to make predictions becomes even more important. In this case study, Uber’s Zhenxiao Luo details the company's machine learning architecture and talk about how Uber uses big data to power machine learning jobs. Recorded on June 17, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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    Shortcuts that short-circuit talent pipelines : Data-driven optimization of hiring (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: As acute shortages for data scientists and engineers further develop in competitive talent markets, it’s imperative to address biases and bottlenecks in the hiring of data scientists and engineers. Most companies approach hiring and talent management as an art, relying on judgment and experience when conceptualizing jobs, drafting JDs, and screening and assessing candidates. Maryam Jahanshahi (TapRecruit) explains how often-innocuous recruiting decisions have dramatic impacts on hiring outcomes, from the success of a hiring process to the candidate pool composition and the amount of time it takes to hire. She then discusses how using data-driven approaches provide an arbitrage opportunity that has significant impact on both the quality and diversity of candidate pools for data science and engineering roles. Maryam covers the role of confounders in the hiring process, explores the complexity of job descriptions, and shares how she extracted signal from noise to extract the key conclusions she presents. She then presents key hiring heuristics in three vignettes: the one word that creates significant ripple effects at every stage of the hiring process; the surprising way that startups do better in the talent war for data scientists and engineers; and hacking diversity, or how she and her team learned to reproducibly and robustly recruit a diverse pool of data scientists and engineers. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    O'Reilly Software Architecture Conference 2019 - Berlin, Germany (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 49 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. Thousands of software architects, aspiring software architects, senior developers, system leads, tech leads, software engineers, data architects, and tech team managers came together at O’Reilly Media’s Software Architecture Conference Berlin 2019 to learn how to design, build, and improve the architectures that are the foundation of all modern software systems. Who did the attendees learn from? They learned from experts like senior software architect Carola Lilienthal (Workplace Solutions), a 30-year software engineering vet, who broke down the causes and costs of technical debt and then outlined the ways to eliminate it. And they learned from site reliability expert Jibby Ayo-Ani (Welkin) as she described Google’s BeyondCorp, a new enterprise security model in cloud computing that every software architect needs to understand. These speakers and gave SACON Berlin 2019’s attendees what they hoped to receive: The knowledge and insights required to become the best software architects they could be. Get this video compilation of SACON Berlin 2019 and you’ll gain the opportunity to increase your skill set and move forward in your software architecture career. Highlights include: Complete video coverage of SACON Berlin 2019’s best keynotes, tutorials, and technical sessions—this compilation contains hours of SACON talks to study and absorb at your own pace and schedule. Keynote addresses from software architecture’s most incisive thinkers, including Bosatsu Consulting President Brian Sletten, ThoughtWorks principal technology consultant Zhamak Dehghani, and the Cloud Native Computing Foundation’s Director of Ecosystem, Cheryl Hung. Hands-on tutorials covering subjects like reusable information architecture; event storming for domain-driven design modeling; and building, specifying, and testing APIs with microservices. Application Architecture sessions, including Patrick Kua (Chief Scientist, N26) on scaling out architectural decision-making during rapid growth; Vladik Khononov (Chief Architect, Naxex) on DDD’s most common mistakes; and Paddy Fagan (Chief Architect, IBM Watson Care Manager) on implementing continuous architectural refactoring in a SaaS offering. Distributed Systems sessions, such as on the need for autonomous APIs in a landscape of impossibly complex distribu...
    Anmerkung: Online resource; Title from title screen (viewed November 6, 2019)
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    Operationalizing the Data Lake (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (171 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Big data and advanced analytics have increasingly moved to the cloud as organizations pursue actionable insights and data-driven products using the growing amounts of information they collect. But few companies have truly operationalized data so it’s usable for the entire organization. With this pragmatic ebook, engineers, architects, and data managers will learn how to build and extract value from a data lake in the cloud and leverage the compute power and scalability of a cloud-native data platform to put your company’s vast data trove into action. Holden Ackerman and Jon King of Qubole take you through the basics of building a data lake operation, from people to technology, employing multiple technologies and frameworks in a cloud-native data platform. You'll dive into the tools and processes you need for the entire lifecycle of a data lake, from data preparation, storage, and management to distributed computing and analytics. You’ll also explore the unique role that each member of your data team needs to play as you migrate to your cloud-native data platform. Leverage your data effectively through a single source of truth Understand the importance of building a self-service culture for your data lake Define the structure you need to build a data lake in the cloud Implement financial governance and data security policies for your data lake through a cloud-native data platform Identify the tools you need to manage your data infrastructure Delineate the scope, usage rights, and best tools for each team working with a data lake—analysts, data scientists, data engineers, and security professionals, among others
    Anmerkung: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049517/?ar
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    NGINX Unit Cookbook (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (50 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: In addition to its popular web server, NGINX now provides a dynamic application server that supports a RESTful JSON API. The open source NGINX Unit server deploys configuration changes without service disruptions and runs apps built with multiple languages and frameworks. With this handy cookbook, developers, DevOps personnel, network admins, and cloud infrastructure pros will learn how to quickly get started with this new server. Hands-on recipes demonstrate NGINX Unit’s new approach and describe how to deploy and configure the server for different applications. You’ll learn how the comprehensive RESTful API simplifies configuration, how to run applications written in different languages on the same server, and how to use NGINX Unit as the foundation for your service mesh. Recipes in this ebook will help you: Install NGINX Unit using source code, Red Hat- and Debian-based systems, or third-party repositories Configure the server using application, router, and listener objects Explore NGINX Unit usage and operations, including application restart and upgrades Learn how the server provides security through application isolation, Unix user permissions, and API encryption Integrate NGINX Unit with the WordPress content management system and the Django and Express.js web application frameworks
    Anmerkung: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492054313/?ar
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    Navigating the Continuous Delivery Pipeline (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Continuous delivery (CD) is a key component of the DevOps workflow that enables you to make code changes and release new features quickly, effectively, and reliably. The CD pipeline includes six high-level stages, each with corresponding tools and processes that leverage automation to ensure fast feedback. Manual or automated handoffs trigger a new stage or process, and DevOps engineers work collaboratively through the cycle. This infographic describes the DevOps cycle and how your organization can navigate that effectively.
    Anmerkung: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492031949/?ar
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    Monolith to Microservices (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781492047810 , 1492047813 , 9781492047797 , 1492047791
    Sprache: Englisch
    Seiten: 1 online resource (284 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 005.1
    Schlagwort(e): Application software Development ; Computer architecture ; Distributed operating systems (Computers) ; Computer software Development ; Software patterns ; Electronic books ; local ; Logiciels d'application ; Développement ; Ordinateurs ; Architecture ; Systèmes d'exploitation répartis ; Logiciels ; Modèles de conception ; Application software ; Development ; Computer architecture ; Computer software ; Development ; Distributed operating systems (Computers) ; Software patterns
    Kurzfassung: How do you detangle a monolithic system and migrate it to a microservices architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices , this new book details a proven method for transitioning an existing monolithic system to a microservice architecture. With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You’ll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture. Ideal for organizations looking to transition to microservices, rather than rebuild Helps companies determine whether to migrate, when to migrate, and where to begin Addresses communication, integration, and the migration of legacy systems Discusses multiple migration patterns and where they apply Provides database migration examples, along with synchronization strategies Explores application decomposition, including several architectural refactoring patterns Delves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more
    Anmerkung: Online resource; Title from title page (viewed November 25, 2019)
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    Microservices architecture in the real world (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 50 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Over the past two years, Credit Karma has gone from zero to nearly 100 microservices, supporting over 300 engineers while serving our more than 80 million members. Drawing on his experience at Credit Karma, Mason Jones shares approaches based on his real-world experiences making the shift to microservices, covering routing (How does service A find and call service B?), management (How do you handle hundreds of containers?), observability (How do you know what’s going on out there?), and experience (How do your developers deal with these services?), as well as the cultural and organizational impact that you can’t avoid. Join in to explore solutions, pitfalls, and practical examples that have worked in the real world at scale. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Machine Learning Pocket Reference (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (318 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed August 29, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492047537/?ar
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    Machine Learning at Enterprise Scale (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (40 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 25, 2019)
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  • 73
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    Leveraging data science in asset management (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Asset managers of all stripes are ramping up their data science capabilities. Andrew Chin and Celia Chen (AllianceBernstein) offer an overview of data science applications within the asset management industry, covering case studies spanning different functions within an asset management organization. Along the way, they look at an investment research project that used a new “big dataset” as well as a machine algorithm to create a more powerful prediction model and detail a machine learning model they developed to understand their clients better. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 74
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    Kotlin Cookbook (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (204 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed November 5, 2019)
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  • 75
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    How to build privacy and security into deep learning models (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 38 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: In recent years, we’ve seen tremendous improvements in artificial intelligence, due to the advances of neural-based models. However, the more popular these algorithms and techniques get, the more serious the consequences of data and user privacy. These issues will drastically impact the future of AI research—specifically how neural-based models are developed, deployed, and evaluated. Yishay Carmiel (IntelligentWire) shares techniques and explains how data privacy will impact machine learning development and how future training and inference will be affected. Yishay first dives into why training on private data should be addressed, federated learning, and differential privacy. He then discusses why inference on private data should be addressed, homomorphic encryption and neural networks, a polynomial approximation of neural networks, protecting data in neural networks, data reconstruction from neural networks, and methods and techniques to secure data reconstruction from neural networks. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 76
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    Hands-On Smart Contract Development with Solidity and Ethereum (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (270 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed December 2, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045250/?ar
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  • 77
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    Game engines and machine learning (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Games are wonderful contained problem spaces, making them great places to explore AI—even if you’re not a game developer. Paris Buttfield-Addison (Secret Lab Pty. Ltd.), Mars Geldard (University of Tasmania), and Tim Nugent (lonely.coffee) teach you how to use Unity to train, explore, and manipulate intelligent agents that learn. You’ll train a quadruped to walk, then train it to explore, fetch, and manipulate the world. It’s a little bit technical, a little bit creative. Join Paris, Mars, and Tim to learn how to use game technologies such as Unity to further your understanding of machine learning fundamentals and solve problems. Topics include: How video game engines are a perfect environment to constrain a problem and train an agent How easy it is to get started, using Unity How to build up a model and use it in the engine to explore a particular idea or problem This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 78
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    Expert Playlist Intro : Lessons from Amazon, Google, Apple and Other Silicon Valley Giants (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: In this brief introduction to Tim O'Reilly's Expert Playlist , find out why he selected these pieces to study how some of the most advanced companies on the planet not only use technology but build their culture to support it.
    Anmerkung: Online resource; Title from title screen (viewed August 25, 2019)
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    Engineering Reliable Mobile Applications (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (35 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Imagine a situation where your service reports as healthy and serving but you receive multiple user reports of poor availability. How are these users accessing your service? Most likely, they’re using a client application, such as a mobile phone. Traditionally, SRE has only supported systems and services running in data centers rather than code running on the client, which has impeded issue detection. This report examines the challenges of client-side reliability and provides a useful set of SRE concepts and tools you can apply to your own apps. Four site reliability engineers from Google share their experiences developing and supporting first-party native mobile applications. You’ll learn core concepts critical to engineering reliable client apps as well as phenomena unique to mobile applications and key takeaways from issues caused by or related to them, including: Designing mobile apps that are resilient to unexpected inputs Rolling out changes in a controlled, metric-driven way Monitoring apps in production by measuring critical user interactions Releasing changes using feature flags so they can be evaluated and rolled back independently Understanding and preparing for your app’s impact on servers Using practices that avoid feedback patterns between your apps and services
    Anmerkung: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492057444/?ar
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  • 80
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    Enabling insights and analytics with data streaming architectures and pipelines using Kafka and Hadoop (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 40 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: In a large global health services company, streaming data for processing and sharing comes with its own challenges. Data science and analytics platforms need data fast, from relevant sources, to act on this data quickly and share the insights with consumers with the same speed and urgency. Join Mohammad Quraishi (Cigna) to learn why streaming data architectures are a necessity—Kafka and Hadoop are key. Mohammad outlines architectures centered around the Hadoop Platform and Kafka that were implemented to support a variety of integration and analytics requirements. Topics include: Enabling streaming to and from relational sources and files using custom frameworks that automate and speed up workflows Combining the polyglot techniques with Kafka API to support various streaming solutions Combining data driven techniques to support consumers through a simple streaming architecture and microservices How HBase, Kudu, and Kafka Streams are used to reduce latency between these microservices and frontend application APIs Enabling the consumption and sharing of data sources and results using streams Enabling Spark Structured Streaming, Flink, and Spark ML on these streams Enabling data sync between on-premises data lakes and the cloud Supporting cloud native architectures that enable machine learning in the cloud This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 81
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    Disrupting data discovery (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Before any analysis can begin, a data scientist needs to discover the right data sources to analyze, understand them, and determine whether they can trust them. Unfortunately, data discovery is very inefficient today. Countless hours are lost trying to find the right data to use. (The most common way still remains to ask a coworker.) Gaining trust in data requires running a bunch of queries (max timestamp, counts per day, count distincts, etc.) that waste time and add unnecessary load on the databases. There’s no clear way to know how to find folks to answer questions about the table. And worst of all, many times analysis is redone and models are rebuilt because previous work isn’t discoverable. Lyft has reduced the time it takes to discover data by 10x by building its own data portal, Amundsen. Amundsen is built on three key pillars: an augmented data graph, an intuitive user experience, and centralized metadata. Amundsen uses a graph database under the hood to store relationships between various data assets (tables, dashboards, protobuf events, etc.). What’s unique to Amundsen is that it treats people as a first-class data asset; in other words, there’s a graph node for each person in the organization that connects to other nodes (like tables, and dashboards). In addition, Amundsen runs PageRank using data from access logs to power search ranking, similar to how Google ranks web pages on the internet. Finally, Amundsen gathers metadata from various different sources (Hive, Presto, Airflow, etc.) and exposes it in one central place. The right place to store all this metadata is a work in progress. Mark Grover and Tao Feng (Lyft) offer a demo of Amundsen and lead a deep dive into its architecture, covering how it leverages centralized metadata, page rank, and a comprehensive data graph to achieve its goal. They also explore the future roadmap, unsolved problems, and its collaboration model. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 82
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    Choreographing microservices (NY) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Choreographed microservices talk to each other asynchronously, blindly broadcasting notifications into a service cloud. Those notifications are handled by whatever client services are interested. These systems eliminate many of the problems associated with orchestrated systems (which work more like synchronous function calls) and are typically much faster than orchestrated systems, but they have their own idiosyncrasies and implementation challenges. Allen Holub explores the inherent problems in orchestrated systems and then looks at how choreography can solve those problems. Allen explores three approaches to choreography: HTTP based, pub/sub messaging based, and brokerless swarming systems. He introduces appropriate messaging architectures and frameworks and looks at several practical examples. Finally, Allen looks at event storming: one of the best approaches to designing choreographed systems. You’ll leave with an understanding of both why you should be using choreography for most high-level APIs and how to design and build these systems. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 83
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    Brains considered harmful : How cognitive biases undermine your software architecture (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 45 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Most software engineers come up through the ranks as coders and believe that the valuable lessons they’ve learned from their years in the trenches are an infallible guide to the future. While experience is certainly useful, the emerging field of cognitive psychology has another story to tell: the real reasons for our decisions aren’t entirely the subject of our conscious choice—or even awareness. Ian Varley (Salesforce) covers the emerging field of cognitive biases—bugs in our mental operating system—and takes a cold, hard look at how these mental blind spots defeat our attempts to build quality software in every domain. (If you’ve read books like Thinking Fast and Slow and You Are Not So Smart , you’ll be familiar with the basic idea.) While awareness of cognitive biases is a good life skill in general, it’s particularly critical if you’re in a software architect role, because your opinions set the conditions for massive amounts of work by other engineers. As such, it’s worth the time to thoroughly debug your own process for learning and making important decisions. Ian explains why the sunk cost fallacy means you’re not throwing things out fast enough; how confirmation bias can sneak into even the most data-driven decisions; how hindsight bias is obscuring the real lessons you might have learned from that failed project; how priming and fixation is shooting down your most promising inputs; and how arguing over architectural decisions is unlikely to help anybody. (See also: “Nobody ever changed their mind between Vim and Emacs.”) Most importantly, Ian shares concrete techniques you can use to check your own decision making for these unwelcome guests. We might not be capable of being perfectly rational beings, but we can be a lot less dumb. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Bringing data to life : Combining machine learning and art to tell a data story (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 24 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Analytics and AI are powerful methods for extracting insights hidden in data. However, these methods by themselves cannot convey insights. Visualization is a key requirement for explaining analytical findings, but visualizations such as graphs and charts are not always enough to explain data, especially to a nontechnical audience. This audience may need a different approach to connect with the data. Nancy Rausch (SAS Institute) shares a case study for a project that combined machine learning and art to tell a big data story. She explains how she and her team collected and prepared IoT streaming data from a solar array farm, applied an analytical model to forecast future output, and then visualized the results for general audiences using interactive art. They also used artificial intelligence and natural language processing to allow visitors to interact with the art installation. The project brought solar array technology to life in a way that was able to engage and delight visitors of all ages and backgrounds. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 85
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    Artificial Intelligence Conference 2019 - New York, New York (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 75 hr., 47 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Why did companies like Intuit, JP Morgan Chase, MasterCard, and BuzzFeed deploy AI and what business advantages have they already reaped from those deployments? How have the toolsets recently developed at Google (BERT) and Microsoft (Project Brainwave) opened up AI as a mainstream business reality? How does IBM's AI Fairness 360 toolkit combat the very real problem of unwanted bias in AI applications? You'll find the answers to these questions and many more in this video compilation of the best talks from AI New York 2019. Containing hours of material to explore at your own pace, this video compilation provides an insider's view of the latest developments in AI. Highlights include:M/p〉 Complete video recordings of the talks delivered at AI NY 2019 by 170 of the world's top AI experts. Keynote addresses from AI's best thinkers, such as MIT's Aleksander Madry, Intuit's Desiree Gosby, Princeton University's Olga Troyanskaya, Netflix's Tony Jebara, Stanford University's Christopher Ré, Facebook's Kim Hazelwood, Carnegie Mellon University's Martial Hebert, and Primer's Sean Gourley, plus a look at Dell's "Sophia", the world’s first robot citizen. All of the Executive Briefings and detailed case studies from the exclusive AI Business Summit, including Kristian Hammond's (Northwestern Computer Science) day long tutorial offering a practical framework for bringing AI into your company; Adam Cheyer's (Samsung) look at how AI enables a totally new form of software development where humans and machines work collaboratively together; and Jennifer Fernick's (NCC Group) learned predictions of the industries that will benefit from the coming intersection of quantum computing, machine learning, and AI. Tutorials by AI's most experienced practitioners, including Gunnar Carlsson (Stanford University) on using topological data analysis to understand, build, and improve neural networks; Bruno Goncalves (JPMorgan Chase) on using recurrent neural networks for time series analysis; and Mo Patel (Independent) on how to build machine learning models in PyTorch. Sessions focused on machine learning, including Alina Matyukhina's (Canadian Institute for Cybersecurity) reveal of the methods dishonest actors use ML to mimic the coding style of software developers in open source projects; Chakri Cherukuri's (Bloomberg LP) discussion of how to apply machine learning and deep learning techniques in quantitative finance; and Cibele Montez Halasz's (Twitter) description of time...
    Anmerkung: Online resource; Title from title screen (viewed April 17, 2019)
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    Applied machine learning in finance - 2019 O'Reilly Strata Data Conference, San Francisco (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 34 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Quantitative finance is a rich field in finance where advanced mathematical and statistical techniques are employed by both sell-side and buy-side institutions. Techniques like time series analysis, stochastic calculus, multivariate statistics, and numerical optimization are often used by “quants” for modeling asset prices, portfolio construction and optimization, and building automated trading strategies. Chakri Cherukuri (Bloomberg LP) explains how machine learning and deep learning techniques are being used in quantitative finance. Chakri outlines use cases for machine learning in finance and dives into a few examples, involving both structured and unstructured datasets, to examine in detail how machine learning models can be used for predictive analytics. Chakri details how these models work under the hood and explores the interpretability of these models. Along the way, you’ll look at novel interactive visualizations and diagnostic plots that will help you better understand these models.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    An architect's guiding principles for leadership (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 44 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Architects are leaders. We need to understand our business, our users, and our ecosystem. We need to effectively interact with our stakeholders, productively collaborate with design and product teams, and give direction and motivate our development teams. Achieving these goals requires much more than technical excellence. Seth Dobbs (Bounteous) shares a primer on leadership for architects, focusing on guiding principles that are easy to learn and put into practice. Principles cover both inward focus (personal mastery) and external focus (effective interactions) and include topics such as vision, problem solving, ownership, and conflict. Seth explores material he’s used to train team members ranging from developers and designers up into the executive level but focuses on core guiding principles specific to helping architects be more effective in their roles. Each principle will be presented first with a problem or anti-pattern, then the principle, and then examples of the principle in practice. This approach should be valuable whether you are new in a leadership role and looking to understand the “soft” skills required or have been leading for a while and want to formalize your thinking on leadership. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 88
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    Microservices for Java Developers, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (117 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038290/?ar
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    Load Balancing in Microsoft Azure (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (38 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053934/?ar
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    Terraform : Up & Running, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (360 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 19, 2019)
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    Strengthening Deep Neural Networks (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (244 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 23, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492044949/?ar
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    Storytelling in Design (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (300 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als Dahlström, Anna Storytelling in design
    Schlagwort(e): Electronic books ; local ; Erzählen ; Benutzeroberfläche ; Produktgestaltung ; Design
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed December 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491959411/?ar
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    Mastering Spark with R (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (293 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed October 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046363/?ar
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    Learning CoreDNS (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (203 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 9, 2019)
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    Cloud Native (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (229 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed August 28, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053811/?ar
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    Learning Apache OpenWhisk (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (391 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: 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
    Details
    Sprache: Englisch
    Seiten: 1 online resource (83 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052630/?ar
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    Concurrency in C# Cookbook, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (251 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed August 27, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492054498/?ar
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    Taking graph applications to production (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 41 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Over the past decade, Denise Gosnell (DataStax) has helped build some of the largest production applications of graph databases around the world. From those experiences, she’s collected a set of common areas in which teams frequently misstep when getting started with graph technology. It also happens that those themes parallel the experience of playing one of her favorite games, SimCity 2000. Denise walks you through a few of these topics. Know the rules. The introduction of graph data into your application introduces a new paradigm of data modeling: relationship-first design instead of entity-first design. The transition to relationship-first design principles introduces a new set of rules to consider for understanding your application’s performance, just like learning the rules of building a successful metropolis in SimCity . In this section, you’ll dive into the computational overhead introduced into your system from the branching factor and selectivity of your graph traversals. Things can quickly become catastrophic. Relationship-first data modeling can create a sleeping time bomb in your graph data: namely, supernodes. Just like in SimCity , high volumes of progress without proper planning will eventually introduce a catastrophe. To plan for this, you will need to track, mitigate, and eliminate the potential for supernodes within your applications. In this section, Denise introduces supernodes and presents tangible plans for avoiding the disasters which they can create. You’re going to make mistakes. Just like the learning process for understanding the tools and rules for building a successful city, you’ll inevitably make some mistakes when starting down the path of integrating graph technology into your stack. These common mistakes often start out as red herrings that are misinterpreted as graph problems. In this section, you’ll explore three use cases that are frequently misinterpreted as graph problems and learn techniques for avoiding these traps. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Strata Data Conference 2019 - San Francisco, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 122 hr., 4 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Thousands of the data scientists, analysts, engineers, developers, and executives converged at the Strata Data Conference San Francisco in March 2019 to absorb the insights and wisdom of the data world's best minds. The conference featured more than 300 speakers, 10 keynotes, 10 tutorials, and 150+ technical sessions. This video compilation captures the best from the conference, offering more than 100 hours of material to review at your own pace. Highlights include: The Strata Business Summit - speakers, executive briefings, and tech sessions laser focused on a central theme: How do the world’s leading companies build their successful data strategies? Learn about recommendation engines, AI-based personalization solutions, data governance, ML based customer insight harvesting, and more from data wizards like Zachery Anderson (Electronic Arts), Eric Bradlow (The Wharton School), David Talby (Pacific AI), Paco Nathan (derwen.ai), Jonathan Francis (Starbucks), and JoLynn Lavin (General Mills). The Strata Data Ethics Summit – Is your AI really making good decisions or have you built a deceptive black box that reinforces ugly stereotypes? Alistair Croll (Strata Chair), Tim O'Reilly (O'Reilly Media), and Susan Etlinger's (Altimeter Group) eight hour deep dive into the thorny issues of data and algorithms with help from Jana Eggers (Nara Logics), Rumman Chowdhury (Accenture), Kathy Baxter (Salesforce), Carole Piovesan (McCarthy Tétrault), and more. Hours of tutorials from the world's top data engineers, such as Francesca Lazzeri (Microsoft) and Holden Karau (Google) on training and deploying models with Kubeflow across different cloud vendors; Dean Wampler (Lightbend) on performing machine learning using Kafka-based streaming pipelines; and Jason Dai (Intel) on the Analytics Zoo, an analytics/AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. Sessions devoted to Data Science, Machine Learning & AI, including Sharad Goel (Stanford University) on the challenges of "fair machine learning", which aims to ensure that decisions guided by algorithms are equitable; Kelley Rivoire (Stripe) on scaling machine learning using the Railyard API; Vinod Vaikuntanathan (MIT) on performing machine learning on encrypted data; and Jeremy Howard (platform.ai) on recent advances in deep learning that allow non-engineers to train neural networks from scratch without needing code or pre-existing labels. Sessions focus...
    Anmerkung: Online resource; Title from title screen (viewed March 27, 2019)
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