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  • [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.  (620)
  • Electronic books ; local  (620)
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  • 101
    Online Resource
    Online Resource
    Practical Machine Learning for Computer Vision (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (140 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: By using machine learning models to extract information from images, organizations today are making breakthroughs in healthcare, manufacturing, retail, and other industries. This practical book shows ML engineers and data scientists how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow/Keras. This book also covers best practices to improve the operationalization of the models using end-to-end ML pipelines. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    MPI Ethno. Forsch.
  • 102
    Online Resource
    Online Resource
    Mastering the Lightning Network (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Launched in early 2018, the Lightning Network (LN) is rapidly growing in users and capacity. This second-layer payment protocol works on top of Bitcoin and other cryptocurrencies to provide near-instantaneous transactions between two parties. With this practical guide, authors Andreas M. Antonopoulos, Olaoluwa Osuntokun, and Rene Pickhardt explain how this advancement will enable the next level of scale for Bitcoin, increasing speed and privacy while reducing fees. Ideal for developers, systems architects, investors, and entrepreneurs looking to gain a better understanding of LN, this book demonstrates why experts consider LN a critical solution to Bitcoin's scalability problem. You'll learn how LN has the potential to support far more transactions than today's financial networks, ushering in an era of global micro-transactions at sub-second resolution. In several parts, this book examines: The challenges of scaling blockchain technology and why the Lightning Network was invented LN basics including wallets, nodes, and lightning payments Lightning payment channels and how they work Routing payments by constructing paths of payment channels from sender to recipient, including onion routing, and atomic multi-path payments Lightning developments such as eltoo, Schnorr signatures, HODL invoices, JIT routing, channel splicing, and channel factories Building applications on Lightning (Lapps)
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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  • 103
    Online Resource
    Online Resource
    Learning Tensorflow.js (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Combining the demand for AI with the ubiquity of JavaScript was inevitable. With Google's TensorFlow.js framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on, end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-ready deep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js and other tools Use resources to convert, train, and manage machine learning data Start building and training your own training models from scratch Learn how to create your own image classification models Examine transfer learning: retraining an advanced model to perform a new task
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 104
    Online Resource
    Online Resource
    Getting Started with InnerSource (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (21 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Welcome to InnerSource, the powerful movement for developing open source software within the walls of a single organization, where the "openness" of a project extends across teams inside the company. In this report, O’Reilly editor and author Andy Oram takes you inside InnerSource, first by reviewing the principles that make open source development successful, and then by describing how InnerSource has worked at PayPal, the leading Internet commerce facilitator. PayPal’s path to InnerSource involved a series of large-scale corporate decisions that included a conscious shift in tools and corporate culture. Through InnerSource, the company not only achieved faster development and better quality, but also created an environment of cross-team cooperation that encouraged programmers to contribute to any of PayPal’s development projects. You’ll learn specific advantages of the InnerSource strategy, including: Faster development: Programmers use unit tests, code coverage, and continuous integration to remove bugs at early stages Complete documentation: Code is documented better, both in-code comments and less formally on discussion lists Code reuse: Programmers across the organization understand the code and architecture of modules developed by other teams Cross-team collaboration: Contributions by members outside of the team are frictionless and rarely have to be rewritten Development with GitHub: GitHub maintains private repositories for in-house projects as well as public repositories for open source code
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 105
    Online Resource
    Online Resource
    Machine Learning for Financial Risk Management with Python (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and deep learning models for assessing financial risk. You'll learn how to compare results from ML models with results obtained by traditional financial risk models. Author Abdullah Karasan helps you explore the theory behind financial risk assessment before diving into the differences between traditional and ML models. Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Revisit and improve market risk models (VaR and expected shortfall) using machine learning techniques Develop a credit risk based on a clustering technique for risk bucketing, then apply Bayesian estimation, Markov chain, and other ML models Capture different aspects of liquidity with a Gaussian mixture model Use machine learning models for fraud detection Identify corporate risk using the stock price crash metric Explore a synthetic data generation process to employ in financial risk
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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  • 106
    Online Resource
    Online Resource
    Trino : The Definitive Guide (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (308 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. With this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Trino. Initially developed by Facebook, open source Trino is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization. Get started: Explore Trino's use cases and learn about tools that will help you connect to Trino and query data Go deeper: Learn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more Put Trino in production: Secure Trino, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Trino
    Note: Online resource; Title from title page (viewed April 21, 2021) , Mode of access: World Wide Web.
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  • 107
    Online Resource
    Online Resource
    Security and Microservice Architecture on AWS (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (143 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Security is usually an afterthought when organizations design microservices for cloud systems. Most companies today are exposed to potential security threats, but their response is more reactive than proactive. That leads to unnecessarily complicated architecture that's harder to implement and even harder to manage and scale. Author Gaurav Raje shows you how to build highly secure systems on AWS without increasing overhead. Ideal for cloud solution architects and software developers with AWS experience, this practical book starts with a high-level architecture and design discussion, then explains how to implement your solution in the cloud in a secure but frictionless manner. By leveraging the AWS Shared Responsibility Model, you'll be able to: Achieve complete mediation in microservices at the infrastructure level Implement a secure and reliable audit trail of all events within the system Develop architecture that aims to simplify compliance with various regulations in finance, medicine, and legal services Put systems in place that detect anomalous behavior and alert the proper administrators in case of a breach Scale security mechanisms on individual microservices independent of each other
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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  • 108
    Online Resource
    Online Resource
    Practical Weak Supervision (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most data scientists and engineers today rely on quality labeled data to train their machine learning models. But building training sets manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Amit Bahree, Senja Filipi, and Wee Hyong Tok from Microsoft show you how to create products using weakly supervised learning models. You'll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies pursue ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. Get a practical overview of weak supervision Dive into data programming with help from Snorkel Perform text classification using Snorkel's weakly labeled dataset Use Snorkel's labeled indoor-outdoor dataset for computer vision tasks Scale up weak supervision using scaling strategies and underlying technologies
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 109
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    Online Resource
    Multithreaded JavaScript (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Traditionally, JavaScript has been a single-threaded language. Nearly all online forum posts, books, online documentation, and libraries refer to the language as single threaded. Thanks to recent advancements in the language--such as the Atomics and SharedArrayBuffers objects and Web Workers in the browser--JavaScript is now a multi-threaded language. These features will go down as being the biggest paradigm shift for the world's most popular programming language. Multithreaded JavaScript explores the various features that JavaScript runtimes have at their disposal for implementing multithreaded programming, providing both practical real-world examples, as well as reference material. You'll learn: What multithreaded programming is and how you can benefit from it The differences between a web worker, a service worker, and a worker thread When and when not to use multithreading in an application How to leverage the Atomics object to orchestrate communication between threads
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 110
    Online Resource
    Online Resource
    Mastering Apache Pulsar (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (31 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds. Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you'll learn Pulsar's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer. This book helps you: Understand how event streaming fits in the big data ecosystem Explore Pulsar producers, consumers, and readers for writing and reading events Build scalable data pipelines by connecting Pulsar with external systems Simplify event-streaming application building with Pulsar Functions Manage Pulsar to perform monitoring, tuning, and maintenance tasks Use Pulsar's operational measurements to secure a production cluster Process event streams using Flink and query event streams using Presto
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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  • 111
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    Learning PHP, MySQL & JavaScript, 6th Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (296 pages)
    Edition: 6th edition
    Keywords: Electronic books ; local
    Abstract: Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. With the latest edition of this popular hands-on guide, you'll tackle dynamic web programming using the most recent versions of today's core technologies: PHP, MySQL, JavaScript, CSS, HTML5, and the powerful React and React Native libraries. Web designers will learn how to use these technologies together while picking up valuable web programming practices along the way--including how to optimize websites for mobile devices. Finally, you'll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. Explore MySQL from database structure to complex queries Use the MySQL PDO extension, PHP's improved MySQL interface Create dynamic PHP web pages that tailor themselves to the user Manage cookies and sessions and maintain a high level of security Enhance JavaScript with the React and React Native libraries Use Ajax calls for background browser server communication Style your web pages by acquiring CSS skills Implement HTML5 features, including geolocation, audio, video, and the canvas Reformat your websites into mobile web apps
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 112
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    Learning Domain-Driven Design (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (180 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Today, more than ever, building software is hard. Not only we have to chase ever-changing technological trends, but we also have to grasp business domains that we are building the software for. The latter is often overseen, and it explains why so many projects are doomed to fail. After all, how can you build a solution if you don't understand the problem? Through this book, you will learn the Domain-Driven Design (DDD) methodology which provides a set of core patterns, principles, and practices for analyzing business domains, understanding business strategy, and, most importantly, aligning software design with its business needs. These include Ubiquitous Language, Bounded Contexts, Event Storming, and others. You will see how these practices not only lead to robust implementation of business logic, but also to future-proof software design and architecture. You will also learn the relationship between DDD and other methodologies to ensure that you are able to make architectural decisions that will meet the business needs. The final section puts all of this into practice using a real life story of implementing Domain-Driven Design in a startup company. Reading the book will allow you to use DDD for analyzing business domains, aligning software and business strategies, and making socio-technical design decisions. By the end of this book, you will be able to:-Build a shared understanding of a business domain-Analyze a company's business domain and competitive strategy-Decompose a system into bounded contexts-Coordinate the work of multiple teams working together-Gradually start implementing domain-driven design
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 113
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    Head First Java, 3rd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (688 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: What will you learn from this book? Ready to learn Java? This book combines puzzles, strong visuals, mysteries, and soul-searching interviews with famous Java objects to engage you in many different ways. It's fast, it's fun, and it's effective. And despite its playful appearance, Head First Java is serious stuff: a complete introduction to object-oriented programming and Java. You'll learn everything from the fundamentals to advanced topics. The new third edition brings the book up-to-date for Java 8-17, including major recent updates to the Java language and development platform. Java has seen some deep code-level changes and more modern approaches, requiring even more careful study and implementation. So learning the Head First way is more important than ever. What's so special about this book? If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn Java through a multi-sensory experience that engages your mind rather than a text-heavy approach that puts you to sleep.
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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  • 114
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    AI and Machine Learning On-Device Development (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (124 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating models and running them on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today. Explore the options for implementing ML and AI on mobile devices--and when to use each Create ML models for iOS and Android Write ML Kit and TensorFlow Lite apps for iOS and Android and Core ML/Create ML apps for iOS Understand how to choose the best techniques and tools for your use case: on-device inference versus cloud-based inference, high-level APIs versus low-level APIs, and more Learn privacy and ethics best practices for ML on devices
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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  • 115
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    97 Things Every Information Security Professional Should Know (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Whether you're searching for new or additional opportunities, information security can be vast and overwhelming. In this practical guide, author Christina Morillo introduces technical knowledge from a diverse range of experts in the infosec field. Through 97 concise and useful tips, you'll learn how to expand your skills and solve common issues by working through everyday security problems. You'll also receive valuable guidance from professionals on how to navigate your career within this industry. How do you get buy-in from the C-suite for your security program? How do you establish an incident and disaster response plan? This practical book takes you through actionable advice on a wide variety of infosec topics, including thought-provoking questions that drive the direction of the field. Get started whether you're new to the infosec space or want to pivot onto a different path Assess your organization's security posture Understand and implement security and risk management controls Effectively communicate the importance of infosec to C-level executives Build and scale an infosec team and program Evaluate return on investment including progress, adoption, and risks mitigated, and relay this information back to stakeholders
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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  • 116
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    Understanding Log Analytics at Scale, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Using log analytics provides organizations with powerful and necessary capabilities for IT security. By analyzing log data, you can drive critical business outcomes, such as identifying security threats or opportunities to build new products. Log analytics also helps improve business efficiency, application, infrastructure, and uptime. In the second edition of this report, data architects and IT infrastructure leads will learn how to get up to speed on log data, log analytics, and log management. Log data, the list of recorded events from software and hardware, typically includes the IP address, time of event, date of event, and more. You'll explore how proactively planned data storage and delivery extends enterprise IT capabilities critical to security analytics deployments. Explore what log analytics is--and why log data is so vital Learn how log analytics helps organizations achieve better business outcomes Use log analytics to address specific business problems Examine the current state of log analytics, including common issues Make the right storage deployments for log analytics use cases Understand how log analytics will evolve in the future With this in-depth report, you'll be able to identify the points your organization needs to consider to achieve successful business outcomes from your log data.
    Note: Online resource; Title from title page (viewed May 10, 2021) , Mode of access: World Wide Web.
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  • 117
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    Cloud Without Compromise (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (275 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Many companies claim to have "gone to the cloud," yet returns from their efforts are meager, and sometimes worse. Why? Because they've defined cloud as a destination, not a capability. Using cloud as a single-vendor, one-stop destination is fiction; in practice, you'll require a mosaic of capabilities across several vendors. Your data strategy needs to follow a hybrid multicloud model, one that delivers cloud's value at destinations you choose. This practical guide from IBM experts provides business leaders and C-level executives with guidelines from Agile development, microservices, and open source solutions--including pro tips for strengthening operations along the way. Apply in-the-field best practices and lessons learned as you define your hybrid cloud strategy and drive your company's transformation strategy. This book gets you started. Learn cloud fundamentals and patterns, including basic concepts and history Get a framework for cloud maturation phases to value-plot your cloud future Know which questions to ask about a cloud provider before you sign Discover potential pitfalls for everything from the true cost of your cloud solution to adopting open source the right way See how IBM infrastructure can boost your cloud journey
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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  • 118
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    Changing Mindsets : The Missing Ingredient to Digital Transformation (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (56 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most organizations are toiling away at their digital transformation strategy. Many have created enclaves of digital innovation, but few have modernized the entire organization. Why? They start with practices and technologies before changing the most important part: their organization's mindset. Executives in these organizations voice the same complaint: how do you get your people to actually change? In this report, Michael Cote discusses how you can change your company's mindset from thinking about producing software to thinking about the purpose of software. Do you usually celebrate the completion of a software project? Or when the business runs better because of your software? That mindset shift has to start with people at the top. With this report, you will: Learn how to think about software as a product rather than software as a project Explore a collection of mindset shifts, practices, and "thought technologies" to help you think and act differently Help managers change the way they think about their daily tasks, goals, and staff Examine case studies that reveal why this transformation is successful, straightforward, and well documented
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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  • 119
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    Encyklopedia elementów elektronicznych (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: 9788328369443
    Language: English , Polish
    Pages: 1 online resource (274 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To książka przeznaczona dla początkujących i zaawansowanych elektroników, zarówno inżynierów, jak i hobbystów. Zawiera starannie zebrane, skompletowane, uporządkowane, a co najważniejsze, sprawdzone i potwierdzone informacje o elementach elektronicznych. Pierwszy z trzech tomów obejmuje informacje o podstawowych elementach, wykorzystywanych chyba we wszystkich projektach. Materiał został uzupełniony licznymi fotografiami, schematami i wykresami. Dowiesz się stąd, do czego służy każdy z prezentowanych podzespołów, jak działa, dlaczego jest przydatny i w jakich odmianach występuje. Nawet jeśli masz duże doświadczenie w dziedzinie elektroniki, znajdziesz tu mnóstwo przydatnych szczegółów, o których nie miałeś pojęcia, a które z pewnością ułatwią Ci tworzenie wspaniałych projektów.
    Note: Online resource; Title from title page (viewed February 12, 2021) , Mode of access: World Wide Web.
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    Financial Theory with Python (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Nowadays, finance, mathematics, and programming are intrinsically linked. Financial Theory with Python provides relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance. Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, Financial Theory with Python teaches you the basics of financial economics. Written by the bestselling author of Python for Finance , Yves Hilpisch, this practical guide explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other. Draw upon mathematics to learn the foundations of financial theory and Python programming Learn about financial theory, financial data modeling, and the use of Python for computational finance Leverage simple economic models to better understand basic notions of finance and Python programming concepts Utilize both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision making, equilibrium, and asset allocation Learn the basics of Python packages useful for financial modeling, such as NumPy, pandas, matplotlib, and SymPy
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Data Mesh (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (270 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    AI-Driven Testing (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Software testing is expensive. Through up-front and recurring investment in labor and assets, organizations spend roughly half of their engineering budget on testing activities. The good news is that automated testing efforts have begun to improve through recent advances in AI and machine learning. With this report, you'll learn how AI-driven approaches are helping organizations overcome problems that traditional automated testing tools can't touch. Author Tariq King, chief scientist at test.ai, helps you examine several AI-driven solutions for software testing issues. You'll explore the application of AI and ML to functional, structural performance, and user design testing, and then dive into techniques for automating graphically intensive solutions such as video streaming and gaming applications. You'll learn the current benefits and limitations of AI-driven testing, available applications, and insights into the future of this new and emerging discipline. Learn the challenges and limitations of traditional approaches to software test automation Explore how AI is advancing the state of the art in automated functional, structural, performance, and user design testing in several application domains Examine the costs, benefits, and possible applications of AI-driven testing Look at ways that AI-driven test automation tools will evolve over the next decade
    Note: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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    The Framework for ML Governance (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most companies don't have problems building and deploying algorithmic models, but they do struggle to effectively manage them in production. Maximizing the value of machine learning projects in the enterprise requires a robust MLOps program. But there's one key challenge: The problem MLOps sets out to solve isn't just about technology. It's also about process. In this report, Kyle Gallatin defines a framework for ML governance--a comprehensive strategy to help your organization deliver real business value with your MLOps program. While MLOps provides a set of best practices and tools that let you deliver ML at scale, ML governance is how you control and manage those practices and tools. This report shows infrastructure and operations (IO) leaders and CTOs how to approach AI projects in a way that adds value from start to finish. Approach ML governance with a consistent framework that covers ML operations and ML development Dive deep into specifics for implementing governance throughout the ML life cycle Understand why governing the delivery and operations stages are the most difficult parts of a comprehensive ML governance strategy Explore ways to involve the right stakeholders to set up an ML governance program
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    OpenShift for Developers, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Ready to build cloud native applications? Get a rapid, hands-on introduction to daily life as a developer whose code runs on OpenShift, the open source container application platform from Red Hat. Creating and containerizing your apps for deployment on modern distributed systems can be daunting. With this practical guide, developers will learn how to build, deploy, and manage a multitiered application on OpenShift. Authors Joshua Wood and Brian Tannous, principal developer advocates at Red Hat, demonstrate how OpenShift speeds application development. With the Kubernetes container orchestrator at its core, OpenShift simplifies and automates the way you build, ship, and run your code. Throughout this book, you'll learn how to use OpenShift and the Quarkus Java framework to develop and deploy apps using proven enterprise technologies. Explore core OpenShift technologies, including containers and Kubernetes Learn the development cycles for building and deploying on OpenShift Build and deploy a multitiered application on OpenShift and manage its ongoing lifecycle Use a fast and iterative development cycle, with the Kubernetes platform as the deployment target Create a continuous integration and deployment pipeline to build and deploy application source code on OpenShift Automate scale, build, and deployment processes using OpenShift's developer features and webhooks
    Note: Online resource; Title from title page (viewed September 9, 2021) , Mode of access: World Wide Web.
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    Multi-Prem Software (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (38 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As data privacy, security, and regulatory compliance become more important, multitenant SaaS gets tricky. Many enterprises need solutions that provide more comprehensive control over their data, but fully on-premises software has limitations. A hybrid approach, dubbed "multi-prem," brings cloud native technologies to a company-controlled infrastructure, offering some of the advantages of on-premises deployment along with the scalability of cloud native applications. Multi-Prem Software explains how Kubernetes and other cloud native technologies are changing on-premises software delivery, alleviating some of the challenges of packaging and deploying applications to diverse environments. You'll discover how this model allows you to: Manage application installation, maintenance, upgrades, and operations Bring automation, uniformity, scalability, and observability to software deployment and management Give customers the ability to manage your proprietary software using their DevOps pipeline Package cloud native applications for multiple customer environments, including on-premises, private clouds, and air-gapped servers Solve the data management, security, and regulatory challenges of the cloud by giving the enterprise control over the environment where the application runs
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    Transforming Customer Data into Insights (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Chances are you purchased an order online in the past year and picked it up in the store or curbside. According to various estimates, 25% of US consumers tried curbside pickup by 2020, turning it into a $30- to $35-billion annual market. While COVID-19 certainly played a large part in this process, this shift toward a customer-first experience has been years in the making. With this report, CMOs, analysts, and business leaders will learn how to pursue customer-centric, data-driven marketing. You'll learn through case studies how organizations have adapted by providing a customer-first experience. In the chapters that follow, authors George Mount, Lynne Capozzi, and Karen Wood examine the challenges marketers face and the technology solutions that have risen as a result, including customer data platforms. Through the course of this report, you will: Learn how a customer data platform (CDP) will complement your business and existing martech stack Examine the top benefits you can expect from using a CDP, including customer experience, regulatory compliance, and business benefits Get advice on how to build a long-term strategy for using a CDP--and how to get going quickly
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    Developing Modern Applications with a Converged Database (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Single-purpose databases were designed to address specific problems and use cases. Given this narrow focus, there are inherent tradeoffs required when trying to accommodate multiple datatypes or workloads in your enterprise environment. The result is data fragmentation that spills over into application development, IT operations, data security, system scalability, and availability. In this report, author Alice LaPlante explains why developing modern, data-driven applications may be easier and more synergistic when using a converged database. Senior developers, architects, and technical decision-makers will learn cloud-native application development techniques for working with both structured and unstructured data. You'll discover ways to run transactional and analytical workloads on a single, unified data platform. This report covers: Benefits and challenges of using a converged database to develop data-driven applications How to use one platform to work with both structured and unstructured data that includes JSON, XML, text and files, spatial and graph, Blockchain, IoT, time series, and relational data Modern development practices on a converged database, including API-driven development, containers, microservices, and event streaming Use case examples including online food delivery, real-time fraud detection, and marketing based on real-time analytics and geospatial targeting
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    Fluent Python, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (266 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Python’s simplicity lets you become productive quickly, but often this means you aren’t using everything it has to offer. With the updated edition of this hands-on guide, you’ll learn how to write effective, modern Python 3 code by leveraging its best ideas. Don’t waste time bending Python to fit patterns you learned in other languages. Discover and apply idiomatic Python 3 features beyond your past experience. Author Luciano Ramalho guides you through Python’s core language features and libraries and teaches you how to make your code shorter, faster, and more readable. Featuring major updates throughout the book, Fluent Python, second edition, covers: Special methods: The key to the consistent behavior of Python objects Data structures: Sequences, dicts, sets, Unicode, and data classes Functions as objects: First-class functions, related design patterns, and type hints in function declarations Object-oriented idioms: Composition, inheritance, mixins, interfaces, operator overloading, static typing and protocols Control flow: Context managers, generators, coroutines, async/await, and thread/process pools Metaprogramming: Properties, attribute descriptors, class decorators, and new class metaprogramming hooks that are simpler than metaclasses
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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    Programming the Internet of Things (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (93 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to program the Internet of Things with this hands-on guide. By breaking down IoT programming complexities in step-by-step, building-block fashion, author and educator Andy King shows you how to design and build your own full stack, end-to-end IoT solution—from device to cloud. This practical book walks you through tooling, development environment setup, solution design, and implementation. You’ll learn how a typical IoT ecosystem works, as well as how to tackle integration challenges that crop up when implementing your own IoT solution. Whether you’re an engineering student learning the basics of the IoT, a tech-savvy executive with a company embarking on an IoT journey, or a programmer building your own smart house solution, this practical book will help you get started. Design an end-to-end solution that implements an IoT use case Set up an IoT-centric development and testing environment Organize your software design by creating abstractions in Python and Java Use MQTT, CoAP, and other protocols to connect IoT devices and services Create a custom JSON-based data format that’s consumable across a range of platforms and services Use cloud services to support your IoT ecosystem and provide business value for stakeholders
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Observability Engineering (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (36 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Observability is critical for engineering, managing, and improving complex business-critical systems. Through this process, any software engineering team can gain a deeper understanding of system performance, so you can perform ongoing maintenance and ship the features your customers need. This practical book explains the value of observable systems and shows you how to build an observability-driven development practice. Authors Charity Majors and Liz Fong-Jones from Honeycomb explain what constitutes good observability, show you how to make improvements from what you’re doing today, and provide practical dos and don’ts for migrating from legacy tooling, such as metrics monitoring and log management. You’ll also learn the impact observability has on organization culture. You’ll explore: The value of practicing observability when delivering and managing complex cloud native applications and systems The impact observability has across the entire software engineering cycle Software ownership: how different functional teams help achieve system SLOs How software developers contribute to customer experience and business impact How to produce quality code for context-aware system debugging and maintenance How data-rich analytics can help you find answers quickly when maintaining site reliability
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Linux Cookbook, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (44 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: This handy cookbook teaches new-to-intermediate Linux users the essential skills necessary to manage a home or small business network. All of the recipes in this book are useful for any Linux system, including local area networks that involve iOS- or Android-powered devices. You’ll learn how to install, maintain, and troubleshoot a Linux system, add and remove software, manage filesystems, run backups, and more. Carla Schroder, author of over a thousand Linux how-tos for various publications, teaches you the solid Linux foundations you need to build and run your network. How do you multiboot? Or troubleshoot software, hardware, and network issues? Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. Learn how the Linux ecosystem is structured Set up a local area network (LAN) Enable smartphones and tablets to safely connect to your LAN Manage fundamental subsystems and essential tasks Secure remote access and build a firewall/internet gateway Manage users and groups, and filesystems and partitions Rescue nonbooting systems Manage name services and the Dynamic Host Configuration Protocol (DHCP)
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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    Hands-On Smart Contract Development with Hyperledger Fabric V2 (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (71 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Blockchain technology continues to disrupt a wide variety of organizations, from small businesses to the Fortune 500. Today, hundreds of blockchain networks are in production, including many built with Hyperledger Fabric. This practical guide shows developers how the latest version of this blockchain infrastructure provides an ideal foundation for developing enterprise blockchain applications or solutions. Authors Matt Zand, Xun (Brian) Wu, and Mark Anthony Morris demonstrate how the versatile design of Hyperledger Fabric 2.0 satisfies a broad range of industry use cases. Developers with or without previous Hyperledger experience will discover why no other distributed ledger technology framework enjoys such wide adoption by cloud service providers such as Amazon, Microsoft, IBM, Google, and Oracle. Walk through the architecture and components of Hyperledger Fabric 2.0 Learn about the Hyperledger family, projects, and ecosystem Migrate your current Hyperledger Fabric projects to version 2 Develop blockchain applications on the Hyperledger platform with Node.js Deploy and integrate Hyperledger on Microsoft Azure, Amazon Managed Blockchain, IBM Cloud, and Oracle Cloud Develop blockchain applications with Hyperledger Aries, Avalon, Besu, and Grid Build end-to-end blockchain supply chain applications with Hyperledger
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Tableau Desktop 2020 Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (93 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: From beginner to Jedi, this cookbook has a recipe for everyone, whether you're just learning how to create data visualizations or have already used Tableau for years. Author Lorna Brown provides more than 100 practical recipes to enhance the way you build Tableau dashboards--and helps you understand your data through the power of Tableau Desktop 2020's interactive data visualizations. With this cookbook, Tableau beginners will learn hands-on how this unique self-serve tool works, while experienced users will find this book to be an ideal reference guide on how to employ specific techniques. This cookbook includes links to online resources and community features, such as Tableau Tip Tuesday and Workout Wednesday. By the time you reach the end of this book, you'll be a competent user of Tableau Desktop 2020. You'll learn how to: Build both basic and complex data visualizations with Tableau Desktop 2020 Gain hands-on experience with Tableau's latest features, including set and parameter actions Create interactive dashboards to support business questions Improve analytical analyses that you've already created Learn data visualization skills and best practices to help you and your organization
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Python and R for the Modern Data Scientist (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (60 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language. By recognizing the strengths of working with both, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Boyan Angelov and Rick Scavetta explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. Not only will you learn how to use Python and R together in real-world settings, but you'll also broaden your knowledge and job opportunities by working as a bilingual data scientist. Learn Python and R from the perspective of your current language Understand the strengths and weaknesses of each language Identify use cases where one language is better suited than the other Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows Learn how to integrate R and Python in a single workflow Follow a real-world case study that demonstrates ways to use these languages together
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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    C# Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (70 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Even if you're familiar with C# syntax, knowing how to combine various language features is a critical skill when building applications. This handy cookbook is packed full of recipes to help you solve issues for C# programming tasks you're likely to encounter. You'll learn tried-and-true techniques to help you achieve greater productivity and improve the quality of your code. Author and independent consultant Joe Mayo shares some of the most important practices you'll need to be successful as a C# developer. Each section of this cookbook describes some useful facet of the C# programming language. These recipes--the result of many years of experience--are proven concepts for solving real-world problems with C#. Learn new techniques for using the latest features of C# 9.0 Employ patterns for solving a wide selection of problems Work with recipes for important C# coding scenarios Reuse code that solves common problems Increase your knowledge of C# programming Improve the quality of your applications
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    SQL for Data Analysis (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (59 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With the explosion of computing power, thanks to analytic databases and cloud data warehouses, SQL has become an even more powerful and flexible tool for the savvy analyst or data scientist. This practical book reveals hidden ways to get the most out of your SQL workflow. You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with more understandable code. If you work with SQL databases, this is a must-have reference. SQL for Data Analysis covers useful applications such as: Cohort analysis Text analysis Anomaly detection Time series analysis Experiment analysis Creating complex data sets for further exploration in statistical and visualization tools And more
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    C# 9.0 Pocket Reference (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (247 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: When you need answers about using C# 9.0, this tightly focused and practical book tells you exactly what you need to know without long intros or bloated samples. Succinct and easy to browse, this reference is an ideal quick source of information and can be used as a guide to get you rapidly up to speed if you know Java, C++, or an earlier C# version. All programs and code snippets are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 9.0 in a Nutshell , this pocket reference covers: C# fundamentals and features new to C# 9.0 Advanced topics like operator overloading, type constraints, nullable types, operator lifting, closures, patterns, and asynchronous functions LINQ: sequences, lazy execution, standard query operators, and query expressions Unsafe code and pointers, custom attributes, preprocessor directives, and XML documentation
    Note: Online resource; Title from title page (viewed January 20, 2021) , Mode of access: World Wide Web.
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    AWS Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (77 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This practical guide provides over 100 self-contained recipes to help you creatively solve issues you may encounter in your AWS cloud endeavors. If you're comfortable with rudimentary scripting and general cloud concepts, this cookbook will give you what you need to both address foundational tasks and create high-level capabilities. AWS Cookbook provides real-world examples that incorporate best practices. Each recipe includes code that you can safely execute in a sandbox AWS account to ensure that it works. From there, you can customize the code to help construct your application or fix your specific existing problem. Recipes also include a discussion that explains the approach and provides context. This cookbook takes you beyond theory, providing the nuts and bolts you need to successfully build on AWS. You'll find recipes for: Organizing multiple accounts for enterprise deployments Locking down S3 buckets Analyzing IAM roles Autoscaling a containerized service Summarizing news articles Standing up a virtual call center Creating a chatbot that can pull answers from a knowledge repository Automating security group rule monitoring, looking for rogue traffic flows And more
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Where Programming, Ops, AI, and the Cloud Are Headed in 2021 (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (20 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: In this report, we look at the data generated by the O'Reilly online learning platform to discern trends in the technology industry: trends technology leaders need to follow.
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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  • 140
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    Tableau Desktop Pocket Reference (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: In a crowded field of data visualization and analytics tools, Tableau Desktop has emerged as the clear leader. This is partly due to its ease of use, but once you dive into Tableau's extensive feature set, you'll understand just how powerful and flexible this software can be for your business. With this handy pocket reference, author Ryan Sleeper ( Practical Tableau and Innovative Tableau ) shows you how to translate the vast amounts of data you've collected into useful information. Tableau has done an amazing job of making valuable insights accessible to analysts and executives who would otherwise need to rely on IT. This book quickly guides you through Tableau Desktop's learning curve. You'll learn: How to shape data for use with Tableau Desktop How to create the most effective data visualizations Core concepts including discrete versus continuous Must-know technical features including filters, parameters, and sets Key syntax for creating the most useful analyses How to bring it all together with dashboards And more
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 141
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    Smaller C (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: For makers looking to use the smallest controllers or wring the highest performance out of larger controllers, the C language is still the best option. This practical book provides a solid grounding in C basics for anyone who tinkers with programming microcontrollers. You'll explore many ways C enables developers and makers to get big results out of tiny devices. Author Marc Loy shows you how to write clean, maintainable C code from scratch. This language and its C++ cousin are still widely used to write low-level code for device drivers or operating systems. By understanding C syntax and quirks, you'll gain an enduring computer language literacy that will help you pick up new languages and styles more easily. Learn C fundamentals including data types, flow control, and functions Explore memory management including how programs work on small devices Understand answers provided in online forums such as Reddit or Stack Overflow Write efficient, custom C code that's both readable and maintainable Analyze the performance of your code and weigh optimizations Evaluate third-party libraries for use in your own projects Create your own libraries to share with others
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 142
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    Reproducible Bioinformatics with Python (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained--usually by students and postdoc researchers who've never learned basic programming skills. This practical guide shows how to exploit the best parts of Python for solving problems in biology while also creating documented, tested, reproducible software. Ken Youens-Clark, author of Tiny Python Projects (Manning), demonstrates how to write effective Python code and how to use tests to write and refactor scientific programs. You'll learn the latest Python features and tools--such as linters, formatters, type checkers, and tests--to write documented and tested programs. Create command-line Python programs that document and validate parameters Write tests to verify refactor programs and confirm they're correct Address bioinformatics ideas using Python data structures (strings, lists, and sets) and modules such as Biopython Create reproducible shortcuts and workflows using makefiles Parse essential bioinformatics file formats such as FASTA, FASTQ, and SwissProt Find patterns of text using regular expressions Use higher-order functions in Python like filter() and map()
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 143
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    Continuous API Management, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (60 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: A lot of work is required to release an API. But overplanning before an API matures is a wasted investment, and underplanning can lead to disaster. If you're just starting to build an API program and want to understand the work ahead of you, or you need to learn how to manage your existing APIs, this updated second edition provides maturity models for individual APIs and multi-API landscapes. How do you balance agility and speed with the need for robust and scalable operations? Four API management experts show software architects, program directors, and product owners how to maximize the value of their APIs by managing them as products through a continuous lifecycle. Learn which API decisions you need to govern Design, deploy, and manage APIs using an API-as-a-product approach Examine the key pillars that form the foundation of API product work Learn how a continuous improvement model governs changes throughout an API's lifetime Explore the stages of a complete API product lifecycle Establish team roles needed to design, build, and maintain your APIs Manage and publish the set of APIs released by your organization
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 144
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    Fundamentals of Learning (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Despite the many theories about how we learn, most people study for exams using what they assume is "the right way." Yet the learning sciences field has recently made major discoveries about how the brain learns, and some of them are downright counterintuitive. Have we been spending too much time on ineffective ways to learn? In this report, author Connie Missimer ( Critical Thinking at Work ) explores three main areas: mapping what you want to learn (using two different methods), finding ways to locate the best-supported information, and learning how to evaluate the information. You'll also look at ways to present what you've learned using approaches to persuade your listeners. Take a quick pretest to discover your assumptions about effective learning Find out why Lazy Laura's study habits are more effective than those used by Griselda the Grinder Understand focused and diffused thinking and quiz yourself on the differences Practice two powerful learning techniques: associations and the Zeigarnik effect Be positive with the truth when presenting and learn the value of procrastinating as you prepare Channel Lazy Laura and take a whirlwind tour through counterintuitive findings
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    Uczenie maszynowe w aplikacjach (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: 9788328371866
    Language: English , Polish
    Pages: 1 online resource (224 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To książka przeznaczona dla programistów i menedżerów, którzy wśród rodzących się idei uczenia maszynowego wciąż poszukują rozwiązań dla swojego biznesu. Autor omawia krok po kroku proces tworzenia i wdrażania aplikacji opartej na uczeniu maszynowym, a praktyczne koncepcje przedstawia za pomocą przykładowych kodów, rysunków i wywiadów z liderami w tej dziedzinie. Podpowiada, jak planować aplikację i oceniać jej jakość. Wyjaśnia także, jak budować skuteczny model, i demonstruje metody jego systematycznego usprawniania, aż do momentu osiągnięcia celu. W końcowej części opisuje strategie wdrażania i monitorowania modelu. W odróżnieniu od innych pozycji poświęconych uczeniu maszynowym ten przewodnik skupia się przede wszystkim na definiowaniu problemów, diagnozowaniu modeli i ich wdrażaniu.
    Note: Online resource; Title from title page (viewed January 20, 2021) , Mode of access: World Wide Web.
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  • 146
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    Umiejętności analityczne w pracy z danymi i sztuczną inteligencją (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: 9788328373464
    Language: English , Polish
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Oto praktyczny przewodnik po wypróbowanej kompleksowej metodzie ułatwiającej przekładanie decyzji biznesowych na łatwe w realizacji, normatywne rozwiązania, oparte na danych i sztucznej inteligencji. Badacze danych, analitycy i menedżerowie znajdą tu techniki ułatwiające zadawanie właściwych pytań i generowanie wartości z wykorzystaniem nowoczesnych technologii AI i reguł decyzyjnych. Przedstawiono szczegóły procesu decyzyjnego, począwszy od pożądanych konsekwencji lub wyników, aby następnie cofnąć się do kwestii działań, które można podjąć, i skończyć na omówieniu problemów oraz szans pojawiających się w wyniku wpłynięcia na niepewność i przyczynowość. Opisano też, jak formułować i rozwiązywać problemy normatywne.
    Note: Online resource; Title from title page (viewed March 24, 2021) , Mode of access: World Wide Web.
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    React od podstaw (2021)
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    ISBN: 9788328372894
    Language: English , Polish
    Pages: 1 online resource (296 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: JavaScript jest obecnie pełnowartościowym językiem programowania — wszechstronnym, elastycznym i pozwalającym na tworzenie wydajnego kodu. Społeczność skupiona wokół JavaScriptu udostępniła wiele przydatnych frameworków i bibliotek. Wśród nich wyjątkowo ciekawą propozycją jest React — popularna biblioteka przeznaczona do tworzenia nowoczesnych, dynamicznych aplikacji. To narzędzie, które w stosunkowo prosty sposób pozwala na pełne wykorzystanie możliwości nowoczesnych przeglądarek i urządzeń mobilnych — wystarczy wiedzieć, jak technologie JavaScript, CSS i HTML działają w przeglądarce WWW.
    Note: Online resource; Title from title page (viewed February 10, 2021) , Mode of access: World Wide Web.
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    Nauka Javy (2021)
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    ISBN: 9788328371286
    Language: English , Polish
    Pages: 1 online resource (464 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Ta książka jest praktycznym przewodnikiem dla każdego, kto chce zdobyć doświadczenie w tworzeniu rzeczywistych aplikacji w Javie. To również znakomity kurs programowania obiektowego dla początkujących, umożliwiający gruntowne zrozumienie podstaw języka Java i jego interfejsów API. Wyczerpująco opisano tu biblioteki klas, techniki programowania oraz idiomy. Nie zabrakło zaawansowanych zagadnień, takich jak wyrażenia lambda czy serwlety. W tym przejrzanym i zaktualizowanym wydaniu ujęto zmiany wprowadzone zarówno w wersji 11 Javy, jak i w przeglądowych wersjach 12, 13 i 14. Przedstawiono więc takie nowości jak interferencja typów w typach sparametryzowanych, ulepszenia w obsłudze wyjątków czy nowe środowisko testowe jshell.
    Note: Online resource; Title from title page (viewed February 17, 2021) , Mode of access: World Wide Web.
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    Encyklopedia elementów elektronicznych (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: 9788328369467
    Language: English , Polish
    Pages: 1 online resource (278 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To drugi tom niezwykłej encyklopedii przeznaczonej dla praktyków elektroniki. Podobnie jak w pierwszym, tak i tutaj znalazły się skompletowane, uporządkowane, a co najważniejsze — sprawdzone i potwierdzone informacje o elementach elektronicznych. Drugi z trzech tomów jest poświęcony układom scalonym, tyrystorom, źródłom światła i dźwięku, wskaźnikom oraz wyświetlaczom — ich opisy zostały uzupełnione licznymi fotografiami, schematami i wykresami. Dzięki takiemu układowi treści dowiesz się, do czego służy każdy z prezentowanych podzespołów, jak działa, kiedy jest najbardziej przydatny i w jakich odmianach występuje. Oto prawdziwa pomoc dla praktyków, którzy chcą szybko uzyskać wskazówki potrzebne do pracy!
    Note: Online resource; Title from title page (viewed February 12, 2021) , Mode of access: World Wide Web.
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    Deep learning i modelowanie generatywne (2021)
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    ISBN: 9788328372832
    Language: English , Polish
    Pages: 1 online resource (264 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Ta książka jest praktycznym przewodnikiem przeznaczonym dla inżynierów uczenia maszynowego i analityków danych. W jasny i przystępny sposób omówiono w niej zasadnicze zagadnienia teorii modelowania generatywnego, a następnie zaprezentowano techniki stosowane do budowy modeli generatywnych, włącznie z ogólnym opisem uczenia głębokiego, wariacyjnych autoenkoderów i generatywnych sieci antagonistycznych (GAN). Na tej podstawie — z wykorzystaniem biblioteki Keras — pokazano wewnętrzne funkcjonowanie każdej z tych technik, łącznie z najbardziej nowatorskimi architekturami. Opisano krok po kroku sposoby rozwiązywania takich twórczych zadań jak malowanie, pisanie i komponowanie muzyki, a także zastosowania modelowania generatywnego do optymalizacji strategii grania w gry (modele World).
    Note: Online resource; Title from title page (viewed March 17, 2021) , Mode of access: World Wide Web.
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    Identity in Modern Applications (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Mapping a person, place, or thing to a software resource in a verifiable manner is the basis of identity. Confirming that identity is a complex process, particularly when the identity mapping has to be verified genuine and authentic. Everything on the internet that houses private information is tied to identity and identity management. In this report, author Lee Atchison shows C-suite execs, engineering execs, architects, and others involved in building software applications the modern identity management techniques available to safeguard that simple access point. You'll learn how and why these techniques constantly need to keep up with modern application development and the growing sophistication of the people that safely interact or maliciously tamper with them. Explore the complex process of mapping a person, place, or thing to a software resource in a verifiable manner Get examples of real-world authentication, including methods and best practices for working with application credentials Understand the differences between single-factor and multifactor authentication Learn why every authentication method has flaws, including today's state-of-the-art processes Explore authorization, the process for granting users access to specific resources, and how it differs from authentication Understand trust relationships using trust systems to create more secure applications and systems
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    DevSecOps in Kubernetes (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (67 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Security is now everyone's job. Whether your system is cloud native or lives in the cloud with a traditional architecture, moving off premises has made security more complex than ever. To protect your assets, you should consolidate the groups involved in development, orchestration, and deployment, because they'll all have different insights. If your work touches any part of the software development lifecycle (SDLC), this report is for you. You'll learn how to integrate security measures into software development methodologies and architectural designs. Then you'll discover how DevSecOps helps you embed security into the SDLC to identify and address threats. Make your team and organization stronger, more resilient, and more secure by adopting the DevSecOps mindset. Pick the right team: essential if your cloud native design uses virtualized applications rather than virtualized systems Select the right tools: manage the entire virtualized application lifecycle with Kubernetes Automate everything you can: automation is testable to ensure you're using the right process Verify everything: use humans to confirm that the right things are happening Introduce security early: embed security in developer workflows Identify threats: use threat modeling in your application or system design
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Leveraging Tekton for Cloud Native CI/CD (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (30 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand the purpose, functioning, and advantages and disadvantages of incorporating Tekton into your technology stack and tooling framework. With this report, software developers and engineers will examine how Tekton stands out among today's continuous integration and continuous delivery (CI/CD) tools. Not only is Tekton cloud native--it also runs natively on Kubernetes. Exactly what gaps does Tekton fill in the Kubernetes ecosystem? What's its potential as a replacement for other tooling? And how can your business use it in a competitive market? Brent Laster, founder and president of Tech Skills Transformations, explains how Tekton provides a powerful and flexible open source framework for creating CI/CD systems, allowing developers to build, test, and deploy across cloud providers and on-premises systems alike. This report explains: How Tekton relates to Kubernetes When it makes sense to use Tekton--and when it doesn't Tekton integration and tooling, including the Tekton command line interface and the Tekton dashboard How to use Tekton pipelines and Tekton triggers Competitive advantages and challenges when using Tekton The outlook for Tekton going forward
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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    Introducing MLOps (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (26 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Instead, many of these ML models do nothing more than provide static insights in a slideshow. If they aren't truly operational, these models can't possibly do what you've trained them to do. This book introduces practical concepts to help data scientists and application engineers operationalize ML models to drive real business change. Through lessons based on numerous projects around the world, six experts in data analytics provide an applied four-step approach-Build, Manage, Deploy and Integrate, and Monitor-for creating ML-infused applications within your organization. You'll learn how to: Fulfill data science value by reducing friction throughout ML pipelines and workflows Constantly refine ML models through retraining, periodic tuning, and even complete remodeling to ensure long-term accuracy Design the ML Ops lifecycle to ensure that people-facing models are unbiased, fair, and explainable Operationalize ML models not only for pipeline deployment but also for external business systems that are more complex and less standardized Put the four-step Build, Manage, Deploy and Integrate, and Monitor approach into action
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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    The Art of Agile Development, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (30 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Almost every company that develops software today is using something they call "Agile." But there’s a widespread misunderstanding of what Agile is and how to use it. The Art of Agile Development is a comprehensive guidebook for anyone who wants to improve the agility of their software development team. It provides clear, concrete, and detailed guidance about what to do, why to do it, and when to make trade-offs. This updated edition provides no-nonsense advice on Agile planning, development, delivery, and management taken from the authors’ many years of experience applying Agile and Extreme Programming (XP).
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Practical Process Automation (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (260 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: In today’s IT architectures, microservices and serverless functions play an increasingly important role. But how can you create meaningful, comprehensive, and connected business solutions if the individual components are decoupled and independent by design? This book provides a framework through examples and practical advice, and reveals how you can design complex processes in such an environment to deliver true business value. Systems that become more distributed, asynchronous, and reactive usually require state handling to deal with long-running interactions. Author Bernd Ruecker demonstrates how to use process automation technology to apply typical long-running patterns around resiliency, messaging, orchestration, or consistency without forcing your service implementation to become stateful itself. With this guide, you’ll discover how process automation compares to business process management, service-oriented architecture, batch processing, event streaming, and data pipeline solutions. Learn how to utilize process automation in cloud-scale or low-latency scenarios Explore options for designing architecture that facilitates process automation Learn methods for modeling processes properly to avoid potential pitfalls Understand the difference between orchestration and choreography and how to balance both Examine process automation use cases to learn viable solutions and appreciate the possibilities
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Applied Natural Language Processing in the Enterprise (2021)
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    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: NLP is one of the hottest topics in AI today. Having lagged for years behind other deep learning fields such as computer vision, NLP only recently gained mainstream popularity. Google, Facebook, and OpenAI have open-sourced large pretrained language models, but many organizations today still struggle with building and adopting NLP applications. This hands-on guide helps you learn the process quickly. If you have a basic to intermediate understanding of machine learning and programming experience with Python, you’ll learn how to build and deploy real-world NLP applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai walk you through the process without bogging you down in theory. Understand how state-of-the-art NLP models work Learn the tools of the trade, including frameworks popular today Perform NLP tasks such as text classification, semantic search, and reading comprehension Solve problems using new models like transformers and techniques such as transfer learning Build NLP models from scratch with performance comparable or superior to out-of-the-box systems Deploy your models to production and maintain their performance Implement a suite of NLP algorithms using Python and PyTorch
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    The Cybersecurity Manager's Guide (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (225 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you're a leader in Cybersecurity, then you know it often seems like no one cares about--or understands--information security. Infosec professionals struggle to integrate security into their companies. Most are under resourced. Most are at odds with their organizations. There must be a better way. This essential manager's guide offers a new approach to building and maintaining an information security program that's both effective and easy to follow. Author and longtime infosec leader Todd Barnum upends the assumptions security professionals take for granted. CISOs, CSOs, CIOs, and IT security professionals will learn a simple seven-step process that will help you build a new program or improve your current program. Build better relationships with IT and other teams within your organization Align your role with your company's values, culture, and tolerance for information loss Lay the groundwork for your security program Create a communications program to share your team's contributions and educate your coworkers Transition security functions and responsibilities to other teams Organize and build an effective infosec team Measure your progress with two key metrics: your staff's ability to recognize and report security policy violations and phishing emails
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    Learning MySQL, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (146 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Get a comprehensive overview on how to set up and design an effective database with MySQL. This thoroughly updated edition covers MySQL’s latest version, including its most important aspects. Whether you’re deploying an environment, troubleshooting an issue, or engaging in disaster and recovery, this practical guide provides the insights and tools necessary to take full advantage of this powerful RDBMS. Authors Vinicius Grippa and Sergey Kuzmichev from Percona show developers and DBAs methods for minimizing costs and maximizing availability and performance. You’ll learn how to perform basic and advanced querying, monitoring and troubleshooting, database management and security, backup and recovery, and tuning for improved efficiency. This edition includes new chapters on high availability, load balancing, and using MySQL in the cloud. Learning MySQL will help you: Deploy MySQL databases on bare metal, on virtual machines, and in the cloud Design database infrastructures Code highly efficient queries Monitor and troubleshoot MySQL databases Execute efficient backup and restore operations Optimize database costs in the cloud Understand database concepts, especially those pertaining to MySQL
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    TensorFlow 2 Pocket Reference (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (70 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This easy-to-use reference for Tensorflow 2 pattern designs in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. When and why would you feed training data as NumPy or a streaming dataset? How would you set up cross validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases. Understand best practices in Tensorflow model patterns and ML workflows Use code snippets as templates in building TensorFlow models and workflows Save development time by integrating pre-built models in TensorFlow Hub Make informed design choices about data ingestion, training paradigms, model saving, and inferencing Address common scenarios such as model design style, data ingestion workflow, model training, and tuning
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    SQL Pocket Guide, 4th Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is the ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite. The updated edition describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more. Quickly look up how to perform specific tasks using SQL Apply the book's syntax examples to your own queries Update SQL queries to work in five different database management systems NEW: Connect Python and R to a relational database NEW: Look up frequently asked SQL questions in the "How Do I?" chapter The book's example SQL statements execute against a set of tables, with data that you can quickly download.
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    PyTorch Pocket Reference (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (46 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers. Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch code that covers every step of neural network development—from loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, GCP, or Azure, and your ML models to mobile and edge devices. Learn basic PyTorch syntax and design patterns Create custom models and data transforms Train and deploy models using a GPU and TPU Train and test a deep learning classifier Accelerate training using optimization and distributed training Access useful PyTorch libraries and the PyTorch ecosystem
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    Learning Algorithms (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (51 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Algorithms are central to understanding how to write efficient code. Everyone who works as a software developer needs to have an effective and working knowledge of algorithms but if they come from a coding bootcamp or 2 year degree they probably did not cover algorithms in enough detail. It is not enough to just know terminology such as proofs and lemmas; algorithms only become effective when put to use in real programs. This means that all working software professionals (developers, testers, maintainers) need to understand the key implementation concerns of algorithms. If a programmer changes even the slightest part of an algorithm, it could result in wildly different performance. It is necessary to understand both the individual mechanisms that appear across different algorithms as well as the way in which all parts interact together to achieve a full problem solution. Programmers need a blended-way to learn algorithms, combining online visualizations with clear explanations in written form. This book will also include a number of Katacodas from exercises and questions at the end of every chapter. This book describes a number of algorithms that creatively solve computational problems. Each algorithm has at least one innovative step that improves over ordinary code solutions to a problem. An algorithm is minimal -- there is nothing you can remove, and you do not need to add anything. Each individual part is necessary for the larger whole to work. Explaining how an algorithm works is like telling a story.
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    Java to Kotlin (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (40 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Kotlin has raised the bar for programming languages on the Java Virtual Machine with its compatibility, readability, efficiency, and tool support. But adopting a new language can be daunting, especially when you're working with business-critical Java code that must meet changing requirements. This book takes a novel approach to introducing Kotlin to Java programmers: showing you how to gradually refactor Java code to idiomatic Kotlin while continuing to evolve its functionality. But converting Java to Kotlin is just the starting point. Kotlin has many features beyond Java. Using worked examples, authors Duncan McGregor and Nat Pryce guide you through honing the converted code to make it simpler, more efficient, more expressive, and easier to change. You'll learn how to take advantage of functional constructs to improve program structure, reliability, and error handling. Once you finish this book, you'll be confident writing Kotlin from scratch, converting your existing Java when appropriate, and managing a mixed Java-Kotlin codebase as it evolves over time.
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    Hacking Kubernetes (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (55 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Running cloud native workloads on Kubernetes can be challenging: keeping them secure is even more so. Kubernetes' complexity offers malicious in-house users and external attackers alike a large assortment of attack vectors. Hacking Kubernetes reviews defaults and threat models and shows how to protect against attacks. Securing your workloads is both essential and urgent, so this invaluable hands-on guide is available to you in this early release edition before it's available to the general public. It covers topics critical for cloud native security, detailing how to: Run Kubernetes securely, on both a strategic and an operational level Exploit Kubernetes default configurations and defend against these kinds of attacks Review Kubernetes clusters for security weaknesses Securely run arbitrary and untrusted code Harden the Kubernetes setup to defend against any and all possible threats
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Think Bayes, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 2nd edition
    Parallel Title: Erscheint auch als Downey, Allen B. Think Bayes
    RVK:
    ST 601
    Keywords: Electronic books ; local
    Abstract: If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book's computational approach helps you get a solid start. Use your programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing Get started with simple examples, using coins, dice, and a bowl of cookies Learn computational methods for solving real-world problems
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    The Rise of the Knowledge Graph (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (85 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Businesses manage data to understand the connections between their customers, products or services, features, markets, and anything else that affects the business. With a knowledge graph, you can represent these connections directly to analyze and understand the compound relationships that drive business innovation. This report introduces knowledge graphs and examines their ability to weave business data and business knowledge into an architecture known as a data fabric . Authors Sean Martin, Ben Szekely, and Dean Allemang explain graph data and knowledge representation and demonstrate the value of combining these two things in a knowledge graph. You'll learn how knowledge graphs enable an enterprise-scale data fabric and discover what to expect in the near future as this technology evolves. This report also examines the evolution of databases, data integration, and data analysis to help you understand how the industry reached this point. Learn how graph technology enables you to represent knowledge and link it to data Understand how graph technology emphasizes the connected nature of data Use a data fabric to support other data-intensive tasks, including machine learning and data analysis Examine how a data fabric supports intense data-driven business initiatives more robustly than a simple database or data architecture
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Reactive Systems in Java (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (91 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Reactive systems and event-driven architecture are becoming essential to application design--and companies are taking note. Reactive systems ensure applications are responsive, resilient, and elastic no matter what failures, latency, or other errors may be occurring, while event-driven architecture offers a flexible and composable option for distributed systems. This practical resource helps you bring these approaches together using Quarkus, a Java framework that greatly simplifies the work developers must undertake for cloud deployments. This book covers how Quarkus 2.0 reactive features allow the smooth development of reactive systems. Clement Escoffier and Ken Finnigan from Red Hat show you how to take advantage of event-driven and reactive principles to build more robust distributed systems, reducing latency and increasing throughput, particularly in your microservices and serverless applications. Java developers will also get a foundation in Quarkus, enabling you to create truly Kubernetes-native applications for the cloud. Understand the fundamentals of reactive systems and event-driven architecture Learn how to use Quarkus to build reactive applications Combine Quarkus with Apache Kafka or AMQP to build reactive systems Develop microservices that utilize messages with Quarkus for use in event-driven architectures
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Migrating Applications to the Cloud (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (58 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cloud environments provide many well-known advantages, including flexibility, scalability, reliability, and high availability. But a lot of businesses still find themselves running some or all of their application suites and databases on-premises. If your enterprise is considering a migration to the cloud, it's critical you evaluate ways to make the move without introducing new risks or complexities. This report provides a concise yet comprehensive overview of migrating applications to the cloud. IT decision makers will learn how to create a migration plan to fit their company's needs, using best practices, tools, and available services. Analyst Stephen Swoyer reviews the benefits of migrating to the cloud, from cost-effectiveness to the acceleration of new technology adoption. You'll understand the challenges involved in migration and learn how to create a strategy to reduce risks and increase the likelihood of success. This report explores: The benefits of cloud migration, including cost-effectiveness, security, and the quick adoption of new technologies How to craft a migration strategy to reduce risks when preparing to move any workload, data, or application to the cloud
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    Incident Metrics in SRE (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (34 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Site reliability engineers often use MTTx metrics to evaluate improvements or track trends. But is either MTTR ( mean time to recovery ) or MTTM ( mean time to mitigation ) ideal for decision making or trend analysis when it comes to production incidents? This report not only demonstrates how and why MTTx metrics come up short but also proposes ways to think about metrics differently to get the answers you want. Google SRE Google SRE Stepan Davidovic uses a Monte Carlo simulation to show how MTTx metrics are poorly suited for decision making or trend analysis in the context of production incidents. Applying these metrics is trickier than it seems and can be dangerously misleading in many practical scenarios. With this report, you'll explore alternative methods for achieving these measurements. Work with a simple model of the incident lifecycle and timings using empirical datasets Use an analytical approach to get a clear picture of what your incident durations look like Focus on narrow questions of the incident lifecycle rather than analyze incident statistics using MTTx Explore alternative methods for achieving your measurements
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Head First Swift (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (500 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Head First Swift Swift is a programming language you can rely on. A language you can present to the family. Safe, reliable, speedy, friendly, easy to talk to, it’s the language of choice for Apple’s platforms—iOS, macOS, watchOS, and tvOS. But open source Swift also runs on Linux as well as the server, and it's gaining ground in scientific computing and web apps. Swift for Windows is even in the works. You can build everything from mobile apps to games, web apps, frameworks, and beyond. So jump in and get started! What's so special about this book? If you've read a Head First book, you know what to expect—a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn Swift through a multisensory experience that engages your mind rather than a text-heavy approach that puts you to sleep.
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    Google Cloud Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get quick hands-on experience with Google Cloud. This cookbook provides a variety of self-contained recipes that show you how to use Google Cloud services for your enterprise application. Whether you're looking for practical ways to apply microservices, AI, analytics, security, or networking solutions, these recipes take you step-by-step through the process and provide discussions that explain how and why the recipes work. Ideal for system engineers and administrators, developers, network and database administrators, and data analysts, this cookbook helps you get started with Google Cloud regardless of your level of experience. Google veterans Rui Costa and Drew Hodun also cover advanced-level Google Cloud services for those who have appreciable experience with the platform. Learn how to get started with Google Cloud Understand the depth of services Google Cloud provides Gain hands-on experience using practical examples and labs Explore topics that include BigQuery, Cloud Run, and Kubernetes Build and run mobile and web applications on Google Cloud Examine ways to build your cloud applications for scale Build a minimum viable product (MVP) app to use in production Learn data platform and pipeline skills
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    Design Patterns for Cloud Native Applications (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (282 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will gain experience building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Sriskandarajah Suhothayan and Kasun Indrasiri highlight use cases that effectively demonstrate the challenges you could encounter at each step. Explore the issues you're likely to deal with when building highly scalable cloud native applications Learn design patterns for addressing these issues--and best practices to help you apply them Examine the tools and technologies essential for building cloud native systems Implement scalable cloud native applications that are manageable and maintainable Use patterns for building applications that are appropriate for specific use cases
    Note: Online resource; Title from title page (viewed May 21, 2021) , Mode of access: World Wide Web.
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    Azure Arc Enabled Kubernetes for Multicloud (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Getting an organization up to speed on a single cloud is a challenge, but mastering two or more cloud platforms is much more demanding. With Microsoft's Azure Arc, IT teams can deploy workloads and manage resources no matter where they exist. This report demonstrates how Azure Arc lets you extend the Azure control plane for Kubernetes across multiple clouds as well as on-premises deployments. Nine-time Microsoft MVP Steve Buchanan shows system administrators, cloud administrators, DevOps engineers, and site reliability engineers how to manage, secure, and govern Kubernetes clusters with Azure Arc. You'll discover why this multicloud platform is the ideal solution for working in today's increasingly hybrid computing world. Understand the new management challenges that multicloud brings Learn how Azure Arc drives consistent governance, security, and management across multicloud Gain valuable insights into Microsoft's Azure ARM control plane for Kubernetes Learn how Azure Arc manages Kubernetes clusters across on-premises and multiple cloud deployments Explore the GitOps technology pattern and operating model for cloud native applications and Kubernetes Use Azure Arc-enabled Kubernetes and GitOps to deploy configurations and applications to Kubernetes clusters
    Note: Online resource; Title from title page (viewed February 18, 2021) , Mode of access: World Wide Web.
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    AI Adoption in the Enterprise 2021 (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (23 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: There's no question: more people are using AI than ever before, and companies across industries are striving to get AI projects up and running. But how many have actually put revenue-bearing products into production? And how does your own organization measure up? In this new report, Mike Loukides, O'Reilly's vice president of content strategy, shares the results of a recent survey on how companies are adopting AI. You'll learn how (and where) AI use has grown over the past year, the significant barriers that remain, and the techniques and tools developers are--or should be--using for their applications.
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    97 Things Every Data Engineer Should Know (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Take advantage of the sky-high demand for data engineers today. With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey from MIT Open Learning, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Projects include: Building pipelines Stream processing Data privacy and security Data governance and lineage Data storage and architecture Ecosystem of modern tools Data team makeup and culture Career advice
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    What Is Polycloud? (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (34 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Multicloud loosely describes an organization's use of more than one cloud provider, but the term doesn't reveal much beyond that. The polycloud model, on the other hand, addresses the recent trend by cloud providers to add differentiated capabilities that allow organizations to use different cloud providers for different purposes. Many organizations adopting a cloud strategy today are pursuing services that fit the new polycloud model. In this report, recognized industry thought leader Lee Atchison describes what polycloud is and how it compares to and differs from other cloud architectural models, including multicloud. C-suite and engineering executives will learn where, when, and how to take advantage of the polycloud paradigm. You'll also learn when to specifically avoid using it. Understand the advantages and disadvantages of using a polycloud architecture Explore examples of polycloud architectures for fictitious applications Review guidelines that can help you be successful with a polycloud architectural strategy Learn how to improve availability in a polycloud environment Explore examples of service-differentiated polycloud architectures Decide when you should use a polycloud rather than a multicloud or single cloud environment
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    Enterprise AIOps (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (95 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The mountains of data generated on a daily basis has vastly outstripped growth in the supply of technical analysts. How can your organization provide value from these data volumes with your existing analytical capabilities and staff? With this report, business leaders looking to move from small AI pilot projects to an enterprise-wide deployment will explore an AI operations engineering framework known as AIOps. Justin Neroda, Steve Escaravage, and Aaron Peters from Booz Allen Hamilton show you how to use this framework to develop AI tools, understand the importance of data management, and determine team roles and responsibilities. You'll learn how to unlock the incredible potential that lies within your organization's significantly growing data, deriving insights not obtainable just a few years ago. Understand the challenges of moving AI deployments from a pilot project to production Discover how an AIOps network can help you solve specific challenges on a case-by-case basis Learn the building blocks required for enterprise-scale AI Examine the principles of responsible AI and learn how to attain them Establish clear objectives and measure performance for AI initiatives Integrate different "Ops" methodologies, including DataOps and DevSecOps, to enable enterprise-wide AI solutions
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    Low-Code and the Democratization of Programming (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (26 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Low-code is one of the fastest growing areas of software development today. An increasing number of PaaS companies now offer low-code solutions for data manipulation, integration, and transformation; and the shift toward low-code solutions is poised to unleash a new democratization of programming. What's happening to make computing power more widely accessible? Will this new low-code level of abstraction allow programmers to be more creative? This report examines how the low-code model is democratizing programming, changing everyday programmer roles, liberating teams, and introducing new dimensions of creativity--and challenges--in software development. As more people learn how to be creative with low-code, what new kinds of programming--and programmers--will emerge as a result? This report covers: What low-code and no-code platforms are--and how they'll democratize programming and transform programmer roles The potential challenges low-code solutions may introduce to software development What new kinds of approaches to programming will emerge as low-code use grows How low-code solutions may allow programmers to think more creatively about programming and software development
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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    React : Up & Running, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (222 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With the second edition of this practical guide, Stoyan Stefanov-designer of the YSlow 2.0 performance tool-shows you how to build React components and organize them into maintainable, large-scale apps. If you're familiar with basic JavaScript syntax, you're ready to get started. Through the course of the book, web developers and programmers will build a complete custom app that lets you store data on the client. You'll quickly learn why some developers consider React the key to the web app development puzzle.
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Kafka : The Definitive Guide, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (76 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, or something else. Moving all of this data is just as important as the data itself. This book's updated second edition shows application architects, developers, and production engineers new to the Kafka open source streaming platform how to handle real-time data feeds. Additional chapters cover Kafka's AdminClient API, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: How publish-subscribe messaging fits in the big data ecosystem Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    AI and Machine Learning for Coders (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    AI-First Healthcare (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (69 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a road map, and the confidence to support AI in their organizations-without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare's most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible How to use various AI technologies to go beyond precision medicine Delivering patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and identifying high-priority AI applications
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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    Hands-On Data Visualization (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (81 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    Learning Go (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Go is rapidly becoming the preferred language for building web services. There are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages. But tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner explains the rationale behind the Go team's design decisions and reveals design patterns that experienced Go developers have adopted. You'll learn how to structure your project and choose the proper tools and libraries to create successful software. Learn how to write idiomatic code in Go and design a Go project Understand the reasons for the design decisions in Go Set up a Go development environment for a solo developer or team Explore which libraries to select when solving problems Learn how Go's features allow the language to run efficiently Know which Go features you should use sparingly, or not at all
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Data Pipelines Pocket Reference (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (110 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support machine learning and analytics needs Considerations for pipeline maintenance, testing, and alerting
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Data Governance : The Definitive Guide (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    UX Strategy, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (55 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: User experience (UX) strategy requires a careful blend of business strategy and UX design, and this hands-on guide offers an easy-to-apply framework for executing it. This updated edition introduces strategy tools and techniques to help you and your team craft innovative products that people want to use. You'll find new chapters on growth design and digital transformation. Whether you're an entrepreneur, UX/UI designer, product manager, or part of an intrapreneurial team, this book teaches simple-to-advanced strategies that you can use in your work right away. Along with business cases, historical context, and real-world examples throughout, you'll also gain different perspectives on the subject through cases studies and up-to-date interviews with top strategists. Define and validate target users through provisional personas and customer discovery techniques Conduct competitive research and analysis to explore a crowded marketplace and create unique value Focus your team on the primary utility and business model of your product by running structured experiments using efficient prototyping tools Learn how to conduct guerrilla user research online to get valuable insights on a small budget Devise UX funnels that increase customer engagement by mapping desired user actions to meaningful metrics
    Note: Online resource; Title from title page (viewed January 25, 2021)
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    Cloud Native Go (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (28 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go's strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You'll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectural considerations. Each chapter builds on the lessons of the last, walking intermediate to advanced developers through Go to construct a simple but fully featured distributed key-value store. You'll learn best practices for adopting Go as your cloud native development language for solving cloud native management and deployment issues. Learn how cloud native applications differ from other software architectures Understand how Go can solve the challenges of designing scalable, distributed services Leverage Go's lower-level features, such as channels and goroutines, to implement a reliable cloud native service Explore what "service reliability" is and what it has to do with "cloud native" Apply a variety of patterns, abstractions, and tooling to build and manage complex distributed systems
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    Scala Cookbook, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Save time and trouble building object-oriented, functional, and concurrent applications with Scala 3. The latest edition of this comprehensive cookbook is packed with more than 250 ready-to-use recipes and 700 code examples to help you solve the most common problems when working with Scala and its popular libraries. Whether you're working on web, big data, or distributed applications, this cookbook provides recipes based on real-world scenarios for experienced Scala developers and for programmers just learning to use this JVM language. Author Alvin Alexander includes practical solutions from his experience using Scala for highly scalable applications that support concurrency and distribution. Recipes cover: Strings, numbers, and control structures Classes, methods, objects, traits, packaging, and imports Functional programming in a variety of situations Building Scala applications with sbt Collections covering Scala's wealth of classes and methods Actors and concurrency List, array, map, set, and more Files, processes, and command-line tasks Web services and interacting with Java Databases and persistence, data types and idioms
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    Programming Rust, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (622 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The Rust programming language offers the rare and valuable combination of statically verified memory safety and low-level control. Imagine C++ but without dangling pointers, null pointer dereferences, leaks, or buffer overruns. With this practical guide, systems programmers will understand Rust's rules clearly and economically. You'll learn how to express programs that Rust can prove are free of a broad class of common errors. Rust brings the benefits of an expressive modern type system to systems programming. Authors Jim Blandy and Jason Orendorff demonstrate how Rust's features put programmers in control over memory consumption and processor use, combining predictable performance with memory safety and trustworthy concurrency. You'll learn: How to write fast, safe, concurrent programs in Rust Rust's rules for managing memory efficiently, including ownership, borrowing, moves, and lifetimes How to design interfaces that fit well into the Rust ecosystem Rust's all-purpose Cargo tool for building, testing, and managing Rust packages High-level features like traits, generics, closures, and iterators that make Rust productive and flexible
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Machine Learning Design Patterns (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (158 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hundreds of experts into advice you can easily follow. The authors, three Google Cloud engineers, describe 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the most appropriate remedy for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure that models are treating users fairly
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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    Distributed Node.js (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (136 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Node.js is used by many companies for building performant backend services without sacrificing developer efficiency. Thanks to its approachable API and familiar syntax, Node.js is loved by engineers and used by startups and Fortune 500s alike. Backed by the world's largest package repository, its enterprise foothold is only expected to grow. In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack. Learn why running redundant copies of the same Node.js service is necessary Know which protocol to choose, depending on the situation Fine-tune your application containers for use in production Track down errors in a distributed setting to determine which service is at fault Simplify app code and increase performance by offloading work to a reverse proxy Build dashboards to monitor service health and throughput Find out why so many different tools are required when operating in an enterprise environment
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    Data Science on AWS (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (122 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale. The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days. Innovate quickly and save money with AWS's on-demand, serverless, and cloud-managed services Implement open source technologies such as Kubeflow, Kubernetes, TensorFlow, and Apache Spark on AWS Build and deploy an end-to-end, continuous ML pipeline with the AWS data science stack Perform advanced analytics on at-rest and streaming data with AWS and Spark Integrate streaming data into your ML pipeline for continuous delivery of ML models using AWS and Apache Kafka
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Building Microservices, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Distributed systems have become more fine-grained as organizations shift from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of problems. With lots of examples and practical advice, this expanded second edition takes a holistic view of the topics system architects and administrators must consider when building, managing, and evolving microservices architectures. Author Sam Newman provides you with a firm grounding in the concepts while diving into the latest solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. Through real-world examples, you'll learn how organizations worldwide are getting the most out of these architectures. Microservices technologies are moving quickly. This book brings you up to speed. Get new information on user interfaces, container orchestration, and serverless Use microservices to align system design with your organization's goals Explore options for integrating a service with the rest of your system Take an incremental approach when splitting monolithic codebases Deploy individual microservices through continuous integration Examine the complexities of testing and monitoring distributed services Manage security with expanded content around user-to-service and service-to-service models Understand the challenges of scaling microservices architectures
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    Behavioral Data Analysis with R and Python (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most of the data that companies collect is related to customer behaviors, such as clicks on a website or purchases in a supermarket. But data science algorithms and predictive analytics tools aren't that specific, so customer data is treated the same way as, for example, astronomical or genomic data. This practical guide introduces powerful methods for behavioral data analysis that you're probably not aware of. Advanced experimental design will help you get the most out of your A/B tests, while causal diagrams will allow you to tease out causality from correlation even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data-immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way
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    React Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (76 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: React helps you create and work on an app in just a few minutes, but learning how to put all the pieces together is hard. How do you validate a form? Or implement a complex multistep user action without writing messy code? How do you test your code? Make it reusable? Wire it to a backend? Keep it easy to understand? The React Cookbook delivers answers fast. Many books teach you how to get started, understand the framework, or use a component library with React, but very few provide examples to help you solve particular problems. This easy-to-use cookbook includes the example code developers need to unravel the most common problems when using React, categorized by topic area and problem. You'll learn how to: Create a single-page application in React using a rich UI Structure code that can be worked on by large teams Integrate with backend services such as REST and GraphQL Use offline caching with technologies such as Redux or MobX Secure applications with technologies such as OAuth Deal with bugs and avoid common functional and performance problems
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Python for Excel (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language-in fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein-creator of xlwings, a popular open source package that allows the automation of Excel with Python-shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for their daily automation tasks. This guide gets you started. Use Python without previous programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio Code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Write unit tests in Python to build solid spreadsheets
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 199
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    Python for Algorithmic Trading (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Financial trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM platforms
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    OpenShift in Production (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. When it comes to operating and scaling OpenShift, you need to understand how to manage and expose resources to application teams and how to continuously deliver changes to applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques and examples for operationalizing OpenShift and Kubernetes in the enterprise. Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more. This book shows you how to: Manage multiple teams in their use of OpenShift and Kubernetes Promote the efficient use of data center resources Deliver highly available applications and services Manage application tenancy throughout the enterprise Provide multicluster management and high availability Apply continuous updates to OpenShift and Kubernetes Devise and deliver disaster recovery strategies
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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