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  • Safari, an O’Reilly Media Company.  (724)
  • [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.  (724)
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  • 1
    Online Resource
    Online Resource
    Learning Ray (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (66 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Get started with Ray, the open source distributed computing framework that greatly simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale. Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build reinforcement learning applications that serve trained models with Ray. You'll understand how Ray fits into the current landscape of data science tools and discover how this programming language continues to integrate ever more tightly with these tools. Distributed computation is hard, but with Ray you'll find it easy to get started. Learn how to build your first distributed application with Ray Core Conduct hyperparameter optimization with Ray Tune Use the Ray RLib library for reinforcement learning Manage distributed training with the RaySGD library Use Ray to perform data processing Learn how work with Ray Clusters and serve models with Ray Serve Build an end-to-end machine learning application with Ray
    Note: Online resource; Title from title page (viewed April 25, 2023) , Mode of access: World Wide Web.
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Scaling Python with Ray (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (38 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, authors Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while avoiding single points of failure and manual scheduling. If your data processing has grown beyond what a single computer can handle, this book is for you. Written by experienced software architecture practitioners, Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. This book covers distributed processing (the pure Python implementation of serverless) and shows you how to: Implement stateful applications with Ray actors Build workflow management in Ray Use Ray as a unified platform for batch and streaming Implement advanced data processing with Ray Apply microservices with Ray platform Implement reliable Ray applications
    Note: Online resource; Title from title page (viewed June 25, 2023) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Learning Data Science (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (70 pages)
    Edition: 1st edition
    DDC: 004
    Keywords: Information technology ; Information retrieval ; Databases ; Data mining ; Electronic books
    Abstract: As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas. Refine a question of interest to one that can be studied with data Pursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualization Learn how to use modeling to describe the data Generalize findings beyond the data
    Note: Online resource; Title from title page (viewed May 25, 2023) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
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  • 4
    Online Resource
    Online Resource
    Alteryx Designer : The Definitive Guide (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098107499 , 1098107497
    Language: English
    Pages: 1 online resource (66 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.75/65
    Keywords: Database management Software ; Data mining Software ; Electronic books ; local ; Electronic books
    Abstract: Analytics projects are frequently long-drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks. This practical book shows you how to master all areas of Alteryx Designer quickly. Author and Alteryx ACE Joshua Burkhow starts with the basics of building a workflow, then introduces more than 200 tools for working with intermediate and advanced analytics functionality. With Alteryx Designer's all-in-one toolkit, you'll migrate from legacy analytics software or Excel with ease. Ready to work with data quickly and efficiently? This guide gets you started. Learn the fundamentals of cleaning, prepping, and analyzing data with Alteryx Designer Install, navigate, and quickly become competent with the Alteryx Designer layout and functionality Construct accurate, performant, reliable, and well-documented workflows that automate business processes Learn intermediate techniques using spatial analytics, reporting, and in-database tools Dive into advanced Alteryx capabilities, including predictive and machine learning tools Get introduced to the entire Alteryx Analytic Process Automation (APA) Platform
    Note: Online resource; Title from title page (viewed March 25, 2023) , Mode of access: World Wide Web.
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  • 5
    Online Resource
    Online Resource
    Managing Cloud Native Data on Kubernetes (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (90 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Kubernetes has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll discover open source technologies that are designed and built for the cloud. Delve into case studies to avoid the pitfalls others have faced and explore new use cases. Get an insider's view of what's coming from the innovators who are creating next-generation architectures and infrastructure. And you'll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more
    Note: Online resource; Title from title page (viewed January 25, 2023) , Mode of access: World Wide Web.
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  • 6
    Online Resource
    Online Resource
    Machine Learning with Apache Spark (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (75 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Advances in machine learning techniques, the cloud, and the ability to leverage hardware acceleration have changed the way we work with data — adding entirely new capabilities and business models to the mix. But the demand for processing training data has outpaced the increase in computation power. This practical and comprehensive guide will show you how to distribute your machine learning workload across multiple machines and turn centralized systems into distributed ones. Machine Learning with Spark examines various technologies for building end-to-end distributed machine learning platforms based on the Apache Spark ecosystem with Spark MLlib, TensorFlow, Horovod, PyTorch, and more. This book shows you when to use each technology and why. You'll also learn how to: Build efficient parallelization of the training process Create a coherent model Leverage a set of open source tools to build scalable end-to-end ML platform Enable more advanced, tailor-made products Use distributed ML techniques to increase the quality of predictions and ML modules Design practical distributed machine learning systems
    Note: Online resource; Title from title page (viewed February 25, 2023) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
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  • 7
    Online Resource
    Online Resource
    Building Solutions with the Microsoft Power Platform (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (26 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: With the accelerating speed of business and the increasing dependence on technology, companies today are significantly changing the way they build in-house business solutions. Many now use low-code and no code technologies to help them deal with specific issues, but that's just the beginning. With this practical guide, power users and developers will discover ways to resolve everyday challenges by building end-to-end solutions with the Microsoft Power Platform. Author Jason Rivera, who specializes in SharePoint and the Microsoft 365 solution architecture, provides a comprehensive overview of how to use the Power Platform to build end-to-end solutions that address tactical business needs. By learning key components of the platform, including Power Apps, Power Automate, and Power BI, you'll be able to build low-code and no code applications, automate repeatable business processes, and create interactive reports from available data. Learn how the Power Platform apps work together Incorporate AI into the Power Platform without extensive ML or AI knowledge Create end-to-end solutions to solve tactical business needs, including data collection, process automation, and reporting Build AI-based solutions using Power Virtual Agents and AI Builder
    Note: Online resource; Title from title page (viewed March 25, 2023) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    Data Science on the Google Cloud Platform, 2nd Edition (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (166 pages)
    Edition: 2nd edition
    Keywords: Electronic books
    Abstract: Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You'll learn how to: Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines
    Note: Online resource; Title from title page (viewed January 25, 2023) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    Essential Math for AI (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (54 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more Learn how to adapt mathematical methods to different applications from completely different fields Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions
    Note: Online resource; Title from title page (viewed February 25, 2023) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    Go Cookbook (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098122072 , 1098122070
    Language: English
    Pages: 1 online resource (25 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Go (Computer program language) ; Open source software Programming ; Computer programming ; Go (Computer program language) ; Open source software Programming ; Computer programming ; Electronic books ; Go (Langage de programmation) ; Logiciels libres - Programmation ; Programmation (Informatique) ; computer programming
    Abstract: Go is an increasingly popular language for programming everything from web applications to distributed network services. This practical guide provides recipes to help you unravel common problems and perform useful tasks when working with Go. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Programmers new to Go can quickly ramp up their knowledge while accomplishing useful tasks, and experienced Go developers can save time by cutting and pasting proven code directly into their applications. Recipes include: Creating a module; Calling code from another module; Returning and handling an error; Converting strings to numbers (or converting numbers to strings); Modifying multiple characters in a string; Creating substrings from a string; Capturing string input; And so much more.--Back cover
    Note: Online resource; Title from title page (viewed July 25, 2023) , Mode of access: World Wide Web.
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  • 11
    Online Resource
    Online Resource
    Natural Language Processing with Transformers (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Edition: Revised Edtion
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Since their introduction in 2017, Transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using HuggingFace Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf use a hands-on approach to teach you how Transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize Transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how Transformers can be used for cross-lingual transfer learning Apply Transformers in real-world scenarios where labeled data is scarce Make Transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train Transformers from scratch and learn how to scale to multiple GPUs and distributed environments
    Note: Online resource; Title from title page (viewed March 25, 2022)
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  • 12
    Online Resource
    Online Resource
    Building Cloud Native Applications on Google Cloud (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (450 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Companies looking to move enterprise applications to the cloud are busy weighing several options, such as the use of containers, machine learning, and serverless computing. There’s a better way. Instead of helping you fit your use case to individual technologies, this practical guide explains how to use these technologies to fit your use case. Author Rui Costa, a learning consultant with Google, demonstrates this approach by showing you how to run your application on Google Cloud. Each chapter is dedicated to an area of technology that you need to address when planning and deploying your application. This book starts by presenting a detailed fictional use case, followed by chapters that focus on the building blocks necessary to deploy a secure enterprise application successfully. Build serverless applications with Google Cloud Functions Explore use cases for deploying a real-time messaging service Deploy applications to Google Kubernetes Engine (GKE) Build multiregional GKE clusters Integrate continuous integration and continuous delivery with your application Incorporate Google Cloud APIs, including speech-to-text and data loss prevention Enrich data with Google Cloud Dataflow Secure your application with Google Cloud Identity-Aware Proxy Explore BigQuery and visualization with Looker and BigQuery SDKs
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 13
    Online Resource
    Online Resource
    GPT-3 (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098113599 , 1098113594
    Language: English
    Pages: 1 online resource (175 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Generative programming (Computer science) ; Electronic books
    Abstract: GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched by OpenAI in 2020. This model is capable of tackling a wide array of tasks, like conversation, text completion, and even coding with stunningly good performance. Since its launch, the API has powered a staggering number of applications that have now grown into full-fledged startups generating business value. This book will be a deep dive into what GPT-3 is, why it is important, what it can do, what has already been done with it, how to get access to it, and how one can build a GPT-3 powered product from scratch. This book is for anyone who wants to understand the scope and nature of GPT-3. The book will evaluate the GPT-3 API from multiple perspectives and discuss the various components of the new, burgeoning economy enabled by GPT-3. This book will look at the influence of GPT-3 on important AI trends like creator economy, no-code, and Artificial General Intelligence and will equip the readers to structure their imaginative ideas and convert them from mere concepts to reality.
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 14
    Online Resource
    Online Resource
    Software Architecture Metrics (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Software architecture metrics are used to measure the maintainability, architectural quality of a software project and to warn early in the process about dangerous accumulations of architectural and technical debt. In this book leading hands-on software architects introduce some key software architecture metrics through case studies, that every software architect should know. This book is not about theory, it is more about practice and implementation, about what has been already tried and worked. Early detection of software architectural issues is key. It helps mitigate the risk of poor performance, and lowers the cost of repairing these issues.
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 15
    Online Resource
    Online Resource
    Python Data Science Handbook, 2nd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (109 pages)
    Edition: 2nd edition
    Keywords: Electronic books
    Abstract: Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. In this second edition, working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how: IPython and Jupyter provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data arrays Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data Matplotlib includes capabilities for a flexible range of data visualizations Scikit-Learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms
    Note: Online resource; Title from title page (viewed December 25, 2022) , Mode of access: World Wide Web.
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  • 16
    Online Resource
    Online Resource
    NGINX Cookbook, 2nd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (220 pages)
    Edition: 2nd edition
    Keywords: Electronic books
    Abstract: NGINX is one of the most widely used web servers available today, in part because of its capabilities as a load balancer and reverse proxy server for HTTP and other network protocols. This cookbook provides easy-to-follow examples to real-world problems in application delivery. The practical recipes will help you set up and use either the open source or commercial offering to solve problems in various use cases. For professionals who understand modern web architectures, such as n-tier or microservice designs, and common web protocols including TCP and HTTP, these recipes provide proven solutions for security, software load balancing, and monitoring and maintaining NGINX's application delivery platform. You'll also explore advanced features of both NGINX and NGINX Plus, the free and licensed versions of this server. You'll find recipes for: High-performance load balancing with HTTP, TCP, and UDP Securing access through encrypted traffic, secure links, HTTP authentication subrequests, and more Deploying NGINX to Google Cloud, AWS, and Azure cloud-computing services Setting up and configuring NGINX Controller Installing and configuring the NGINX Plus App Protect module Enabling WAF through Controller App Security
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 17
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    Infrastructure and Ops Hour with Sam Newman : SLO with Alex Hidalgo (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Service-level objectives (SLOs) are a key component of the service-level agreement (SLA) between your business and your customers. SLOs define the level of service you’ve agreed to provide and offer a means to measure that service. As such, they’re critical for ensuring reliability...if used correctly. Join us for a special conversation on SLOs with Sam Newman and site reliability engineer Alex Hidalgo. You’ll learn how to build an SLO-based approach to reliability at your own organization as you explore everything from the concepts, philosophies, and definitions you need to know to the various components of SLOs, how to use them successfully, why they work, and how you can make them work for you. Along the way, Sam and Alex will also discuss some of the more complicated aspects of implementing an SLO-based approach, including how to create meaningful service-level indicators (SLIs) and how to assign accurate SLO targets so that you get useful alerts for your team—and company-wide buy-in. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around SLOs and SRE What’s coming next for infrastructure and ops This recording of a live event is for you because… You want to learn how to use SLOs at your company to improve resilience. You’re looking for ways to improve your incident response and engineering environment. Recommended follow-up: Read Implementing Service Level Objectives (book)
    Note: Online resource; Title from title screen (viewed February 7, 2022) , Mode of access: World Wide Web.
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  • 18
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    Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (322 pages)
    Edition: 3rd edition
    Keywords: Electronic books
    Abstract: Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. Use scikit-learn to track an example machine learning project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, and transformers Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning Train neural nets using multiple GPUs and deploy them at scale using Google's Vertex AI
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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  • 19
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    Cassandra : The Definitive Guide, (Revised) Third Edition, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (430 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell) Create a working data model and compare it with an equivalent relational model Design and develop applications using client drivers Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
    Note: Online resource; Title from title page (viewed January 28, 2022) , Mode of access: World Wide Web.
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    Case Study : How DataKind Walked Back on a Project when Ethical Issues Arose (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    DDC: 174/.9004
    Keywords: DataKind (Firm) ; Information technology Moral and ethical aspects ; Technological innovations Moral and ethical aspects ; Data curation Moral and ethical aspects ; Electronic videos ; Innovations ; Aspect moral ; Édition de contenu ; Aspect moral ; Information technology ; Moral and ethical aspects ; Technological innovations ; Moral and ethical aspects ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Data scientists often set out to make a positive impact—generating insights upon which organizations can make decisions. A key aspect of that work is ensuring that data is being collected, managed, and analyzed ethically. But as conversations about ethical data science increase, so do questions about how ethics in data science looks in practice: When do you do an ethics check? And what do you do if something seems off? Join us for this Case Study with DataKind’s Afua Bruce and Rachel Wells to hear what happened when their team faced an ethical challenge during a project that used social media data. While wrapping up the project, the team found out that they didn’t have full information on how the data was obtained. Faced with the decision about whether to deliver the project to the partner when the data trail was incomplete, DataKind reviewed the data source’s use policies, unpacked the trade-offs of different approaches, and carefully communicated with all stakeholders to eventually terminate the project. Afua and Rachel take you through the decision-making process, trade-offs, outcomes, and lessons learned from this project experience; highlight the importance of a data trail and evaluating where all data sources come from; and explain how to walk back a data science solution and project when ethical issues arise. Recorded on January 25, 2022. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Case Studies explore how organizations have overcome common challenges in business and technology through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and challenges while hearing their unique perspectives, insights, and lessons learned.
    Note: Online resource; Title from title screen (viewed February 25, 2022) , Mode of access: World Wide Web.
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    Accelerating Enterprise Digital Transformation with a Next Generation Database (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (32 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Determining the best database infrastructure for digital transformation can be tricky. How your organization stores and provides access to data can determine the success or failure of the entire enterprise. Data silos can't properly serve all your organization's needs. Managing multiple databases requires more maintenance, costs, and complexity. How do you determine the right balance? In this report, author Steve Suehring examines the need for next-generation databases and then guides you through the various attributes you need to consider when choosing the right platform for your company. With the increasing abundance and depth of data lakes, the ability to capitalize on real-time analytics becomes more difficult unless the database platform can support and accelerate enterprise digital transformation. This report shows you how. Examine how data silos lead to a more complex environment incapable of serving all your organization's needs Understand key drivers behind enterprise digital transformation and map those drivers to critical database infrastructure attributes Make informed decisions about your next-generation database platform choice Align your database infrastructure with your enterprise digital transformation and acceleration Become a change agent and thought leader in business transformation
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    Software Architecture Hour : What Makes a Good Software Architect with Venkat Subramaniam (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: We’ve all worked with architects—some are good, and some that could be better. But what exactly are the traits of a good architect? What skills and qualities should you focus on to become a very good one? Join us for a special conversation with Neal Ford and Agile Developer Inc. founder Venkat Subramaniam. They’ll explore the traits of a good architect and share some tips that will make the journey to become a successful architect a pleasant one. Whether you’re already an architect or you aspire to become one, you’re sure to gain valuable insights that will help you boost your skills. What you’ll learn and how you can apply it Learn how to make Agile software development practical See what the future looks like for software development This recording of a live event is for you because… You want to learn about how to become a more effective architect. You want to improve your skills as an architect. You want to learn how to best adapt to unexpected changes in features. Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Software Architecture: The Hard Parts (book) Take Hands-On Software Design (live online training course with Venkat Subramaniam) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford)
    Note: Online resource; Title from title screen (viewed February 3, 2022) , Mode of access: World Wide Web.
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    Practical Linear Algebra for Data Science (2022)
    [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
    Abstract: If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. Ideal for practitioners and students using computer technology and algorithms, this book introduces you to: The interpretations and applications of vectors and matrices Matrix arithmetic (various multiplications and transformations) Independence, rank, and inverses Important decompositions used in applied linear algebra (including LU and QR) Eigendecomposition and singular value decomposition Applications including least-squares model fitting and principal components analysis
    Note: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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    Enterprise Roadmap to SRE (2022)
    [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
    Abstract: Two previous O'Reilly books from Google-- Site Reliability Engineering and The Site Reliability Workbook --demonstrated how and why a commitment to the entire service life cycle enables your organization to successfully build, deploy, monitor, and maintain software systems. In this detailed report, Google Cloud Reliability Advocate Steve McGhee and Google Cloud Solutions Architect James Brookbank dive deeper into the specific challenges engineers face when adopting SRE in their organization. Despite SRE's popularity, many enterprises have experienced a significant gap between initial enthusiasm for SRE and its often modest level of adoption. If you're a product owner or have a stake in reliable services and need to know more about SRE adoption, this report will methodically guide you through the process. Get started by evaluating your existing environment and setting expectations Examine SRE's approach to reliability, and learn why reliability is the most desired product feature Learn how to map SRE's guiding principles, such as embracing risk, to your existing organization Develop a set of SRE practices for your team, based on what team members can do, what they know, and what tools they use Learn tips on how to actively nurture success and keep SRE working in your organization
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    AI at the Edge (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (29 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Edge artificial intelligence is transforming the way computers interact with the real world, allowing internet of things (IoT) devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to flexible embedded Linux devices—for applications that reduce latency, protect privacy, and work without a network connection, greatly expanding the capabilities of the IoT. This practical guide gives engineering professionals and product managers an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You’ll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level roadmap will help you get started. Develop your expertise in artificial intelligence and machine learning on edge devices Understand which projects are best solved with edge AI Explore typical design patterns used with edge AI apps Use an iterative workflow to develop an edge AI application Optimize models for deployment to embedded devices Improve model performance based on feedback from real-world use
    Note: Online resource; Title from title page (viewed December 25, 2022) , Mode of access: World Wide Web.
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    Software Architecture Superstream : Software Architecture Patterns (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 12 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Just as developers use design patterns in software development, architects use architecture patterns to define the characteristics and shape of the architecture of a system. Using the right architecture pattern is critical because once in place the architecture is very hard to change. Using the wrong architecture pattern (or no pattern at all) can be a very costly mistake, resulting in an architecture that may not work. But how do you decide which pattern to use? Join us for four hours of sessions on some of the most popular and useful architectural patterns and how to implement them at your organization. About the Software Architecture Superstream Series: This five-part series of half-day online events focuses on the hottest topics in software architecture, giving you the insights to keep pace with what’s next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. What you’ll learn and how you can apply it Understand the similarities and differences between architecture patterns and design patterns Learn how to use patterns in microservices-style architectures Get a glimpse of the future of event-driven architectures and patterns This live event is for you because… You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You want to better understand how to use patterns to improve your software architecture. Recommended follow-up: Listen to Microservices Patterns (audiobook) or read the book Read Software Architecture Patterns (report) Watch Software Architecture Fundamentals (video) Read Building Micro-Frontends (early release book) Read Fundamentals of Software Architecture (book) Watch Introduction to Cloud Native Architecture Patterns (video)
    Note: Online resource; Title from title screen (viewed January 26, 2022) , Mode of access: World Wide Web.
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    Radar Talks : Rachel Roumeliotis on Technology Trends in 2022 (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 52 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: In this edition of Radar Talks, O’Reilly VP of content strategy Rachel Roumeliotis explores the technology trends that will help ensure you’re building a cloud-based, data-driven, and AI-enhanced business today that will be a catalyst for your success tomorrow. Learn what you need to know now, illustrated with usage and search stats from the O’Reilly learning platform and insights from O’Reilly’s respected editorial team. Recorded on February 1, 2022. See the original event page for resources for further learning or watch recordings of other past events . The O’Reilly Radar Talks series brings you expert opinions on emerging topics through hour-long interactive events. In conversation with some of the industry’s top minds, you’ll look at the early signals indicating significant trends and new technologies that will shape the future—and discover how to begin forging these technologies now. Share your own predictions and ask your questions while gaining insight into our experts’ unique outlooks for the future.
    Note: Online resource; Title from title screen (viewed February 1, 2022) , Mode of access: World Wide Web.
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    Python in a Nutshell, 4th Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (247 pages)
    Edition: 4th edition
    Keywords: Electronic books
    Abstract: Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to design and prototyping to testing, deployment, and maintenance. With this updated fourth edition, you'll learn how to get the most out of Python, whether you're a professional programmer or someone who needs this language to solve problems in a particular field. Carefully curated by recognized experts in Python, this new edition focuses on version 3.10, bringing this seminal work on the Python language fully up to date on five version releases, including preview coverage of upcoming 3.11 features. This handy guide will help you: Learn how Python represents data and program as objects Understand the value and uses of type annotations Examine which language features appeared in which recent versions Discover how to use modern Python idiomatically Learn ways to structure Python projects appropriately Understand how to debug Python code
    Note: Online resource; Title from title page (viewed December 25, 2022) , Mode of access: World Wide Web.
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    Learning Blazor (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (144 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Take advantage of your C# skills to build UI components and client-side experiences with .NET. With this practical guide, you'll learn how to use Blazor WebAssembly to develop next-generation web experiences. Built on top of ASP.NET Core, Blazor represents the future of .NET single-page applications (SPA) investments. Author David Pine, who focuses on .NET and Azure content development at Microsoft, explains how WebAssembly enables many non-JavaScript-based programming languages to run on the client browser. In this book, you'll learn about real-time web functionality with ASP.NET Core SignalR. You'll learn strategies for bidirectional JavaScript interop. David covers component data binding, hierarchical event-driven communications, in-memory state management, and local storage. This book shows you how to: Create a feature-rich Blazor app that looks beautiful Localize an enterprise-scale app as the sole developer using GitHub Actions and Azure Cognitive Services Translator service Create advanced validation scenarios for input-based components with forms Automatically deploy and host to Azure Static Web Apps, and rely on HTTP services Utilize geolocation service native to the browser, as well as native speech synthesis and recognition Author a custom modal verification mechanism for validating a user Determine the best approach for building reliable, architecturally sound websites
    Note: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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    Infrastructure & Ops Superstream : Observability (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Observability—a measure of how well internal states of a system can be inferred from its outputs—is crucial for engineering, managing, and improving complex business-critical systems. Join us to learn how observability can help any software engineering team gain a deeper understanding of system performance, so you can perform ongoing maintenance and ship the features your customers need. About the Infrastructure & Ops Superstream Series: This four-part Superstream series guides you through what you need to know about modernizing your organization’s infrastructure and operations, with each event day covering different topics and lasting no more than four hours. They’re packed with the expert insights, skills, and tools that will help you effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. What you’ll learn and how you can apply it Gain a deeper understanding of system performance so you can perform ongoing maintenance and ship the features your customers need Understand how to build an observability-driven development practice Discover how your production services are really performing right now This recording of a live event is for you because… You’re a developer who wants to learn the basics of observability and how to use it in your system. You want to better understand how observability can be used with data. You want to know what the future holds for observability and infrastructure and operations. Recommended follow-up: Read Observability Engineering (book) Read Kubernetes Security and Observability (book) Watch Observability at Google (video) Read Linux Observability with BPF (book) (Watch Case Study: How Lightstep Implemented Observability (recorded event))
    Note: Online resource; Title from title screen (viewed January 12, 2022) , Mode of access: World Wide Web.
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    Case Study : How Pinterest Built a Stream Processing Platform with Apache Flink (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Facing rapid growth and competition in its online business, Pinterest tech stacks demanded large-scale stateful online processing technology to unlock multiple top initiatives. From lambda functions like micro services to Kafka Stream and Spark streaming, Pinterest explored all of these options and decided to go with a single open source stream processing platform, powered by Apache Flink. Starting from a legacy batch-only data stack and varying levels of expertise among the user team, Pinterest’s stream processing platform has evolved in multiple stages into a reliable platform that enables data-driven products and timely decision making. In the first stage, facing the demand of running large stateful applications, we built connectors that worked with Pinterest infrastructure, and streamlined user education with embedded training to fine tune each use case. In the next stage, we onboarded ads real-time ingestion which predict user match with 50% + accuracy in near real time. We also onboarded tier 1 advertiser spend unified calculation that has very stringent SLO in a very tight timeline. As the platform grew, we had to build a more scalable way to offer non-stream processing or infrastructure background engineered to unblock real-time machine learning use cases. Thus, reprocess, backfill source, live debugging automation, verification, and deployment automation, as well as a dependency injection based job editor, were built into the platform and became widely adopted, empowering a large number of jobs to production in a relatively small amount of time. Eventually, features like unified shopping catalog indexing, content safety and trust, as well as deduplicate 4b+ images on the platform in near real-time were built and launched. And with additional investment in technology and ecosystem teams, Pinterest’s stream processing platform is accelerating transforming machine learning use cases, online processing, and data warehousing into near real-time. This case study reviews how Pinterest chose Apache Flink as the technology behind its stream processing platform, how the platform enabled critical use cases and a user base that scaled out and evolved along with product innovation, and lessons learned in implementing and developing this platform. What you will learn—and how to apply it By the end of this case study the viewer will understand: How and why Pinterest chose Apache Flink over other stream processing offerings How Pinterest uses stream ...
    Note: Online resource; Title from title screen (viewed January 14, 2022) , Mode of access: World Wide Web.
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    Technology Trends for 2022 (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 1st edition
    Keywords: Electronic books
    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, 2022) , Mode of access: World Wide Web.
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    Radar Talks : Phil Balagtas on Futures Design and Thinking (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: As the craft of creation continues to evolve and require more strategic thinking, we must also evolve our mindset and tools to address today’s greatest political, social, environmental, and cultural challenges. Futures design and thinking provides a set of tools that can prepare us for the ever-changing landscape of the future and enable us to better assess the challenges of emerging technologies, climate change, and the implications of dynamic social structures. In this edition of Radar Talks, Design Futures Initiative founder Phil Balagtas takes a deep dive into the futures design and thinking methodology. You’ll learn how to use futures thinking as a strategic tool to uncover threats and opportunities on the near and distant horizon. Recorded on January 10, 2022. See the original event page for resources for further learning or watch recordings of other past events . The O’Reilly Radar Talks series brings you expert opinions on emerging topics through hour-long interactive events. In conversation with some of the industry’s top minds, you’ll look at the early signals indicating significant trends and new technologies that will shape the future—and discover how to begin forging these technologies now. Share your own predictions and ask your questions while gaining insight into our experts’ unique outlooks for the future.
    Note: Online resource; Title from title screen (viewed January 10, 2022) , Mode of access: World Wide Web.
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    Accelerate Machine Learning with a Unified Analytics Architecture (2022)
    [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
    Abstract: Machine learning has accelerated in several industries recently, enabling companies to automate decisions and act based on predicted futures. In time, nearly all major industries will embed ML into the core of their businesses, but right now the gap between companies that successfully adopt ML and those that fail continues to grow. This report examines why so many ML initiatives stall, especially at the stage of moving models from proof of concept to production. Authors Ben Epstein and Paige Roberts examine the strengths and weaknesses of data lake and data warehouse analytic architectures, including the ways that companies use them cooperatively in production. You'll learn how to merge these separate technology stacks into a unified architecture that will streamline the daily workflows of data scientists and data engineers, and facilitate the seamless transition of models from development into production. With this report, you'll explore: Why the unique challenges of MLOps have caused so many ML applications to fail The evolution of data warehouse and data lake architectures How a unified analytics architecture enables you to unite the workflows of business analysts and data scientists How this architecture helps you get new ML projects into production as easily as creating new tables on a dashboard The advantages of in-database ML, including enhanced security, speed and scalability, accessibility, governance, and production readiness
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    Practical Simulations for Machine Learning (2022)
    [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: Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can create artificial data using simulations to train traditional machine learning models. That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, with a focus on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. With this deeply practical book, you'll learn how to: Design an approach for solving ML and AI problems using simulations Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization (PPO) and soft actor-critic (SAO) Train ML models locally, concurrently, and in the cloud Use PyTorch, TensorFlow, the Unity ML-Agents and Perception Toolkits to enable ML tools to work with industry-standard game development tools
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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    Graph-Powered Analytics and Machine Learning with TigerGraph (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098106621 , 1098106628
    Language: English
    Pages: 1 online resource (93 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.74
    Keywords: Databases ; Graph databases ; Electronic books ; local
    Abstract: With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available. You'll explore a three-stage approach to deriving value from connected data: connect, analyze, and learn. Victor Lee, Xinyu Chan, and Gaurav Deshpande from TigerGraph present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and machine learning solutions for your organization. Use graph thinking to connect, analyze, and learn from data for advanced analytics and machine learning Learn how graph analytics and machine learning can deliver key business insights and outcomes Use five core categories of graph algorithms to drive advanced analytics and machine learning Deliver a real-time 360-degree view of core business entities, including customer, product, service, supplier, and citizen Discover insights from connected data through machine learning and advanced analytics
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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    Communicating with Data (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (157 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations. Author Carl Allchin shows anyone how to find data sources and develop data analytics, and teaches those with more data expertise how to visualize data to convey findings to key business leaders more effectively. Once your business and data experts both possess the skills to work with data and interpret its significance, you can deal with questions and challenges in departments across your organization. Learn the fundamental data skills required to work with data Use data visualization to influence change in your organization Learn how to apply data techniques to effectively work with data end to end Understand how to communicate data points clearly and persuasively Appreciate why different stakeholders often have divergent needs and views Create a playbook for using data with different departments
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    CockroachDB : The Definitive Guide (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (59 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get the lowdown on CockroachDB, the elastic SQL database built to handle the demands of today's data-driven world. With this practical guide, software developers, architects, and DevOps teams will discover the advantages of building on a distributed SQL database. You'll learn how to create applications that scale elastically and provide seamless delivery for end users while remaining exceptionally resilient and indestructible. Written from scratch for the cloud and architected to scale elastically to handle the demands of cloud native and open source, CockroachDB makes it easier to build and scale modern applications. If you're familiar with distributed systems, you'll quickly discover the benefits of strong data correctness and consistency guarantees as well as optimizations for delivering ultralow latencies to globally distributed end users. With this thorough guide, you'll learn how to: Plan and build applications for distributed infrastructure, including data modeling and schema design Migrate data into CockroachDB Read and write data and run ACID transactions across distributed infrastructure Optimize queries for performance across geographically distributed replicas Plan a CockroachDB deployment for resiliency across single-region and multiregion clusters Secure, monitor, and optimize your CockroachDB deployment
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 39
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    Responsible AI (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (63 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Authors Patrick Hall and Rumman Chowdhury created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large. Learn how to create a successful and impactful responsible AI practice Get a guide to existing standards, laws, and assessments for adopting AI technologies Look at how existing roles at companies are evolving to incorporate responsible AI Examine business best practices and recommendations for implementing responsible AI Learn technical approaches for responsible AI at all stages of system development
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 40
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    Concurrency and Scalability for Distributed Systems (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098106034 , 1098106032
    Language: English
    Pages: 1 online resource (46 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.1
    Keywords: Computer software Development ; System design ; Electronic books ; local ; Electronic books
    Abstract: In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively. Author Ian Gorton takes software architects and developers through the principles of foundational distributed systems. Youâ??ll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems. You'll focus on: Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffs Designing scalable services: Dive into service design, caching, asynchronous messaging, serverless processing, and microservices Designing scalable data systems: Learn data system fundamentals, NoSQL databases, and eventual consistency versus strong consistency Designing scalable streaming systems: Explore stream processing systems and scalable event-driven processing
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    URL: Inhaltsverzeichnis
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  • 41
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    Hands-On Systems Programming with Rust (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (156 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: For several consecutive years, Rust has been voted "most loved programming language" in Stack Overflow's annual developer survey. This open source systems programming language is now used for everything from game engines and operating systems to browser components and virtual reality simulation engines. But Rust is also an incredibly complex language with a notoriously difficult learning curve. Rather than focus on the language as a whole, this guide teaches Rust using a single small, complete, focused program in each chapter. Author Ken Youens-Clark shows you how to start, write, and test each of these programs to create a finished product. You'll learn how to handle errors in Rust, read and write files, and use regular expressions, Rust types, structs, and more. Discover how to: Use Rust's standard libraries and data types such as strings, vectors, dictionaries, and sets to create systems programs Write and test Rust programs and functions Read and write files, including stdin, stdout, and stderr Document and validate command-line arguments Write programs that fail gracefully Parse raw and delimited text as well as Excel data Use and control randomness
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 42
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    Efficient MySQL Performance (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (187 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: You'll find several books on MySQL basics today, but only one that covers advanced MySQL performance--and nothing in between. That's because explaining MySQL performance without addressing its complexity is difficult. This practical book bridges the gap by teaching developers mid-level MySQL knowledge beyond the fundamentals, but well shy of deep-level internals required by DBAs. Daniel Nichter shows you how to apply best practices and techniques that directly affect efficient MySQL performance. You'll learn how to focus on query response time, optimize queries and data to increase performance, and monitor and understand the most important MySQL metrics. You'll also discover how not to use MySQL, including situations where this database is clearly the wrong choice. Understand why query response time is the North Star of MySQL performance Learn why indexing, not hardware or MySQL config, is the key to performance Examine query metrics in detail, including aggregation, reporting, and analysis Explore ways of improving query response time through query optimization Understand how to monitor MySQL and learn what the metrics mean
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 43
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    Modern Mainframe Development (2022)
    [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: Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure processing. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating traditional mainframes and applications with modern digital systems. By the end of the book, you'll have a solid understanding of the mainframe architecture and ecosystem, including core concepts and technologies such as COBOL, JCL, DB2, VSAM, and CICS. You'll learn how to blend in newer technologies such as the cloud, AI and machine learning, and the use of microservices. This handbook is indispensable for enterprises looking to thrive in the new digital world. Learn strategies and approaches for mainframe DevOps Update and maintain existing mainframe code, and analyze and resolve common errors Apply modern approaches to the mainframe, including microservices, APIs, cloud, and AI and machine learning Work with datasets and databases and put together effective reports Understand how to work with modern cloud systems, like AWS, for pursuing data migration
    Note: Online resource; Title from title page (viewed July 25, 2022) , Mode of access: World Wide Web.
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  • 44
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    Running Lean, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (240 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: We're building more products today than ever before, but most of them fail--not because we can't complete what we want to build but because we waste time, money, and effort building the wrong product. What we need is a systematic process for quickly vetting product ideas and raising our odds of success. That's the promise of Running Lean. In this inspiring book, Ash Maurya takes you through an exacting strategy for achieving a product/market fit for your fledgling venture. You'll learn ideas and concepts from several innovative methodologies, including the Lean Startup, business model design, design thinking, and Jobs-to-be-Done. This new edition introduces the continuous innovation framework and follows one entrepreneur's journey to uncover, design, and build a product that matters. Know when to "pivot" by changing your plan's course Maximize your efforts for speed, learning, and focus Learn the ideal time to raise your "big round" of funding Find a problem worth solving, then define a solution Engage your customers throughout the development cycle Continually test your product with smaller, faster iterations Build a feature, measure customer response, and verify or refute the idea
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 45
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    Q# Pocket Guide (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098108830 , 1098108833
    Language: English
    Pages: 1 online resource (43 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.26/2
    Keywords: Quantum computing ; Programming languages (Electronic computers) ; Electronic books ; local ; Electronic books ; Quantum computing ; Programming languages (Electronic computers)
    Abstract: Q# is a domain-specific language for quantum programming that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with--or willing to learn--the basics of quantum computing, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. You'll explore the quantum software development lifecycle, from implementing the program to testing and debugging it to running it on quantum hardware, and you'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process. In this pocket guide, you'll find: Q# language details, including data types, statements, syntax, and expressions Guidelines for organizing Q# code and invoking it from different environments Information on simulators and tools in the Microsoft Quantum Development Kit Advice on testing and debugging tools and techniques for quantum programs
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 46
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    Modern Linux System Administration (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (32 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This essential guide covers all aspects of Linux system administration, from user maintenance, backups, filesystem housekeeping, storage management, and network setup to hardware and software troubleshooting and some application management. It's both a practical daily reference manual for sysadmins and IT pros and a handy study guide for those taking Linux certification exams. You'll turn to it frequently, not only because of the sheer volume of valuable information it provides but because of the real-world examples within and the clear, useful way the information is presented. With this book at your side, you'll be able to: Install Linux and perform initial setup duties, such as connecting to a network Navigate the Linux filesystem via the command line Install software from repositories and source and satisfy dependencies Set permissions on files and directories Create, modify, and remove user accounts Set up networking Format and mount filesystems Perform basic troubleshooting on hardware and software Create and manage logical volumes Work with SELinux Manage a firewall and iptables Shut down, reboot, and recover a system Perform backups and restores
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 47
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    Cloud Native DevOps with Kubernetes, 2nd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show your development and operations staff what Kubernetes can do--and what you can do with it. This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday problems using tools currently in use in the software industry. You'll walk through an example containerized application running in Kubernetes step-by-step, from the development environment through the continuous deployment pipeline, with patterns you can use for your own applications. Make your development teams lean, fast, and effective by adopting Kubernetes and DevOps principles. Understand containers and Kubernetes--no experience necessary Run your own applications on managed cloud Kubernetes services or on-premises environments Design your own cloud native services and infrastructure Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for observability and monitoring Secure your containers and clusters in production
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 48
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    Azure AI Services at Scale for Cloud, Mobile, and Edge (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (54 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Whether you're a student planning to focus on AI or an experienced software engineer with an idea for the next viral AI app, or if you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. In three sections, this book introduces you to AI-oriented architecture, provides an overview of the available tools, and provides real-world examples to guide you through this architecture.All you need to get started is a working knowledge of basic cloud concepts. Become familiar with various AI offerings and capabilities Build intelligent applications using Azure Cognitive Services Train, tune, and deploy models with Azure Machine Learning, PyTorch, and the Open Neural Network Exchange (ONNX) Learn about how companies have used Cognitive Services to solve business problems Use transfer learning to train vision, speech, and language models in minutes Discover how Microsoft scaled running Azure Cognitive Services for millions of users
    Note: Online resource; Title from title page (viewed July 25, 2022) , Mode of access: World Wide Web.
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    Reliable Machine Learning (2022)
    [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
    Abstract: Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient ML system. Whether you want to increase revenue, optimize decision-making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. You'll examine: What ML is : how it functions and what it relies on Conceptual frameworks for understanding how ML "loops" work Effective "productionization," and how it can be made easily monitorable, deployable, and operable Why ML systems make production troubleshooting more difficult, and how to get around them How ML, product, and production teams can communicate effectively
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 50
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    Why External Data Needs to Be Part of Your Data and Analytics Strategy (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (38 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Innovative organizations today are reaping the benefits of combining data from a variety of internal and external sources. By collecting, storing, analyzing, and leveraging external data, these companies are able to outperform competitors by unlocking improvements in growth, productivity, and risk management. This report explains how you can harness the power of external data to boost analytics, find competitive advantages, and drive value. Author Joseph D. Stec explains how clever companies are now using advanced analytics tools that can simultaneously collect, mix, and match diverse data from disparate data sources. This enables them to improve products and brand loyalty, generate better conversions, identify trends earlier, and pinpoint additional ways to improve customer satisfaction. With this report, you will: Learn how external data elevates and enhances the way you analyze and interpret data outside of your apps or databases Dive into the nuts and bolts of external data platforms to solve key challenges Understand how new technology makes external data easier to use with analytics Learn how an external data platform fits into your data architecture Gain access to relevant external data signals with Explorium, an automated external data management platform Unlock improvements in growth, productivity, and risk management
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    Cloud Native Infrastructure with Azure (2022)
    [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
    Abstract: The cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, maintaining and running these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development. With this practical book, Nishant Singh and Michael Kehoe show you how to build a true cloud native infrastructure on Microsoft Azure, following guidelines from the Cloud Native Computing Foundation (CNCF). DevOps and site reliability engineers will learn how adapting applications to cloud native early in the design phase helps you fully utilize the elasticity and distributed nature of the cloud. Chapters include: "Introduction: Why Cloud Native?" "Infrastructure as Code: Setting Up the Gateway" "Containerizing Your Application: More Than Boxes" "Kubernetes: The Grand Orchestrator" "Creating a Kubernetes Cluster on Azure" "Observability: Following the Breadcrumbs" "Service Discovery and Service Mesh: Finding New Territories and Crossing Borders" "Networking and Policy Management: Behold the Gatekeepers" "Distributed Databases and Storage: The Central Bank" "Getting the Message" "Serverless"
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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    C# 10 in a Nutshell (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1497 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: When you have questions about C# 10.0 or .NET 6, this bestselling guide has the answers you need. C# is a language of unusual flexibility and breadth, but with its continual growth, there's so much more to learn. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today. Organized around concepts and use cases, this comprehensive and complete reference provides intermediate and advanced programmers with a concise map of C# and .NET that also plumbs significant depths.
    Note: Online resource; Title from title page (viewed February 15, 2022) , Mode of access: World Wide Web.
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    Practical Python Data Wrangling and Data Quality (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (65 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this practical book will help you learn how to better clean, evaluate, and analyze data to generate meaningful insights and compelling visualizations. Through foundational concepts and worked examples, author Susan McGregor provides the tools you need to evaluate and analyze all kinds of data and communicate your findings effectively. This book provides a methodical, jargon-free way for practitioners of all levels to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Complete exercises either on your own machine or on the web Collect data from structured data files, web pages, and APIs Perform basic statistical analysis to make meaning from data sets Visualize and present data in clear and compelling ways
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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    SQL Server Advanced Troubleshooting and Performance Tuning (2022)
    [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 ; Electronic books
    Abstract: This book provides a comprehensive overview on best practices for troubleshooting and performance tuning in SQL Server. It reviews how to identify performance issues, how to troubleshoot the system in a holistic fashion, and how to properly prioritize tuning efforts in order to induce the best system performance possible. The book also discusses interdependencies between database components, while spotlighting ways to avoid the bottlenecks that can be triggered by those dependencies. The troubleshooting and performance tuning techniques presented in the book are compatible with any version of SQL Server. They cover both on-premise and Cloud-based SQL Server installations, including Microsoft Azure SQL Databases and Amazon SQL Server RDS. Reflecting the approaches used by many high-end SQL Server consultants, SQL Server Advanced Troubleshooting and Performance Tuning is a valuable resource that will help readers master troubleshooting and performance tuning skills and get the best performance out of SQL Server.
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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    Modern Data Protection (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (118 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Give your organization the data protection it deserves, without the uncertainty and cost overruns experienced by your predecessors or other companies. System and network administrators today have their work cut out for them to protect physical and virtual machines in the data center and the cloud, mobile devices in laptops and tablets, SaaS services like Microsoft 365, Google Workspace, and Salesforce, and any persistent data created by Kubernetes and container workloads. To help you navigate the breadth and depth of this challenge, this book presents several solutions so you can determine which one is right for your company. You'll learn the unique requirements that each workload presents, then explore various categories of commercial backup hardware, software, and services available to protect these data sources, including the advantages and disadvantages of each approach. Learn the workload types that your organization should be backing up Explore the hardware, software, and services you can use to back up your systems Understand what's wrong with your current data protection system Pair your backed-up workloads to the appropriate backup system Learn the adjustments you need to make to make your backups better, without wasting money
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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    Service Mesh Patterns (2022)
    [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: As your organization adopts microservices, you also need a service mesh, the infrastructure layer that handles interservice communication in microservice architectures. This seminal book provides patterns and operational best practices to help you deploy and use service meshes in a way that meets your company's goals and needs. Developers face a wide range of choices today: which service mesh to use, which features to deploy, and the best ways to exploit and deploy those features. Whether you're investigating service meshes or already use one, authors Lee Calcote and Nic Jackson provide universal patterns applicable to any service mesh: Istio, Linkerd, Consul, App Mesh, and more. Get a vendor-neutral perspective on where each mesh shines (and perhaps, doesn't) Understand how service meshes benefit developers, operators, and service owners differently Determine whether you're running your mesh effectively Avoid service mesh lock-in through use of service mesh abstractions Learn common deployment patterns for implementing a specific service mesh function Use configuration best practices to avoid common pitfalls Explore federation of service mesh deployments and other service mesh types As microservices proliferate your environment, fear not: service meshes are here to manage your service sprawl. This book shows you how.
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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    Practical Fraud Prevention (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their experience of fraud fighting to provide best practices, methodologies, and tools to help your organization detect and prevent fraud and other malicious activities. Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection analytic methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in the ever-changing fraud landscape. With this book, you will: Examine current fraud attacks and learn how to mitigate them Find the right balance between preventing fraud and providing a smooth customer experience Share insights across multiple business areas, including ecommerce and banking Evaluate potential risks for a new vertical, market, or product Train and mentor teams by initiating hackathons and kickstarting brainstorming sessions Get a framework of fraud methods and fraud-fighting analytics
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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    Mastering API Architecture (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (121 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company's services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up. With this practical book, you'll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level. Authors James Gough, Daniel Bryant, and Matthew Auburn demonstrate how simple additions to this infrastructure can help engineers and organizations migrate to the cloud; and open the opportunity to connect internal services using technologies like a service mesh. Learn API fundamentals and architectural patterns for building an API platform Explore evolving trends such as asynchronous and streaming APIs Help drive your API program by performing an informed architectural role Build and configure key components of an API platform Deploy gateways and service meshes based on case studies Understand core security and vulnerabilities in API architecture Secure data and services using OAuth 2.0, TLS, and web application firewalls
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    Kubernetes Security and Observability (2022)
    [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 ; Electronic books
    Abstract: This practical book introduces new cloud native approaches for Kubernetes practitioners, like yourself, who care about the security and observability of mission-critical microservices. Through practical guidance and best practice recommendations, this book helps you understand why cloud native applications require a modern approach to security and observability practices and how to implement them. Do you want to know how to secure and troubleshoot your cloud native applications? Or are you part of a group that wants to solve security and observability challenges before fully adopting Kubernetes in your organization? This book takes you through the full breadth of new cloud native approaches for establishing security and observability with Kubernetes. Learn why you need a security and observability strategy for cloud native applications and determine your scope of coverage Understand key concepts behind Kubernetesâ??s security and observability approach Explore the technology choices you can make to meet each aspect of this strategy Discover how to split security responsibilities across multiple teams or roles Learn ways to architect Kubernetes security and observability for multicloud and hybrid environments
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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  • 60
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    Advanced Analytics with PySpark (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098103620 , 1098103629
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: SPARK (Electronic resource) ; Python (Computer program language) ; Data mining ; Electronic books ; local ; Electronic books ; Data mining ; Python (Computer program language) ; SPARK (Electronic resource)
    Abstract: The amount of data being generated today is staggering. And growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming. Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques--including classification, clustering, collaborative filtering, and anomaly detection--to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing. If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis. Familiarize yourself with Spark's programming model and ecosystem Learn general approaches in data science Examine complete implementations that analyze large public datasets Discover which machine learning tools make sense for particular problems Explore code that can be adapted to many uses
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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    URL: Inhaltsverzeichnis
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    Python for Data Analysis, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (60 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: Data mining ; Python (Computer program language) ; Electronic books ; local ; Electronic books
    Abstract: Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You�?�¢??ll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It�?�¢??s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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    Snowflake : The Definitive Guide (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098103798 , 1098103793
    Language: English
    Pages: 1 online resource (65 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. This clear, comprehensive guide will show you how to build integrated data applications and develop new revenue streams based on data. The author deftly unravels complex topics, provides hands-on SQL examples, and reveals how you can use the Snowflake Data Cloud to avoid replatforming or migrating data unnecessarily. You'll learn how to: Efficiently capture, store, and process large amounts of data at an amazing speed Rapidly ingest and transform real-time data feeds in both structured and semistructured format and deliver meaningful data insights within minutes Use Time Travel and Zero-Copy cloning to produce a sensible data recovery strategy that balances the need for system resilience with ongoing storage cost Securely share data and reduce or eliminate data integration costs by accessing fresh, ready-to-query data sets available within the Snowflake Data Marketplace
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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    Full Stack Testing (2022)
    [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 ; Electronic books
    Abstract: Testing is a critical discipline for any organization looking to deliver high-quality software. This practical book provides software developers and QA engineers with a comprehensive one-stop guide to testing skills in 10 different categories. You'll learn appropriate strategies, concepts, and practical implementation knowledge you can apply from both a development and testing perspective for web and mobile applications. Author Gayathri Mohan offers examples of more than 40 tools you can use immediately. You'll acquire the skills to conduct exploratory testing, test automation, cross-functional testing, data testing, mobile testing, and visual testing, as well as tests for performance, security, and accessibility. You'll learn to integrate them in continuous integration pipelines to gain faster feedback. Once you dive into this guide, you'll be able to tackle challenging development workflows with a focus on quality. With this book, you will: Learn how to employ various testing types to yield maximum quality in your projects Explore new testing methods by following the book's strategies and concepts Learn how to apply these tools at work by following detailed examples Improve your skills and job prospects by gaining a broad exposure to testing best practices
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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    Essential Math for Data Science (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (78 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to: Recognize the nuances and pitfalls of probability math Master statistics and hypothesis testing (and avoid common pitfalls) Discover practical applications of probability, statistics, calculus, and machine learning Intuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and added Perform calculus derivatives and integrals completely from scratch in Python Apply what you've learned to machine learning, including linear regression, logistic regression, and neural networks
    Note: Online resource; Title from title page (viewed July 25, 2022) , Mode of access: World Wide Web.
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    Python for Geospatial Data Analysis (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (37 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions. Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python. This book helps you: Understand the importance of applying spatial relationships in data science Select and apply data layering of both raster and vector graphics Apply location data to leverage spatial analytics Design informative and accurate maps Automate geographic data with Python scripts Explore Python packages for additional functionality Work with atypical data types such as polygons, shape files, and projections Understand the graphical syntax of spatial data science to stimulate curiosity
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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    Learning Google Analytics (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (51 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activation--linking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations. Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them. You'll learn: How Google Cloud integrates with GA4 The potential use cases that GA4 integrations can enable Skills and resources needed to create GA4 integrations How much GA4 data capture is necessary to enable use cases The process of designing dataflows from strategy though data storage, modeling, and activation
    Note: Online resource; Title from title page (viewed December 25, 2022) , Mode of access: World Wide Web.
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    Kubernetes : Up and Running, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (320 pages)
    Edition: 3rd edition
    DDC: 004/.36
    Keywords: Electronic data processing Distributed processing ; Application software Development ; Open source software ; Electronic books
    Abstract: In just five years, Kubernetes has radically changed the way developers and ops personnel build, deploy, and maintain applications in the cloud. With this book's updated third edition, you'll learn how this popular container orchestrator can help your company achieve new levels of velocity, agility, reliability, and efficiency—whether you're new to distributed systems or have been deploying cloud native apps for some time. Brendan Burns, Joe Beda, Kelsey Hightower, and Lachlan Evenson—who have worked on Kubernetes at Google and beyond—explain how this system fits into the life cycle of a distributed application. Software developers, engineers, and architects will learn ways to use tools and APIs to automate scalable distributed systems for online services, machine learning applications, or even a cluster of Raspberry Pi computers. This guide shows you how to: Create a simple cluster to learn how Kubernetes works Dive into the details of deploying an application using Kubernetes Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets Explore deployments that tie together the lifecycle of a complete application Get practical examples of how to develop and deploy real-world applications in Kubernetes
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    Data Quality Fundamentals (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (43 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to any of the questions above, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data reliability company Monte Carlo explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipelines Write scripts to make data checks and identify broken pipelines with data observability Program your own data quality monitors from scratch Develop and lead data quality initiatives at your company Generate a dashboard to highlight your company's key data assets Automate data lineage graphs across your data ecosystem Build anomaly detectors for your critical data assets
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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    AI-Powered Business Intelligence (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (74 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Zwingmann, Tobias AI-powered business intelligence
    DDC: 658.4/72
    Keywords: Business intelligence Data processing ; Artificial intelligence Industrial applications ; Electronic books ; Artificial intelligence ; Industrial applications
    Abstract: Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision-making. With this practical book, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, image, and voice audio files. Author Tobias Zwingmann, senior data scientist and cofounder of Germany-based AI startup RAPYD.AI, helps BI, business, and data analysts understand high-impact areas of predictive and prescriptive analytics. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proof of concepts without the help of software engineers or data scientists. Learn how AI can generate business impact in BI environments Use AutoML for automated classification and improved forecasting Implement recommendation services to support decision-making Draw insights from text data at scale with NLP services Extract information from documents and images with computer vision services Make voice audio files accessible for reporting with AI transcription services Build interactive user frontends for AI-powered dashboard prototypes Implement an end-to-end case study for building an AI-powered customer analytics dashboard
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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    The Art of SEO, 4th Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (925 pages)
    Edition: 4th edition
    DDC: 658.8/72
    Keywords: Web sites Design ; Web site development ; Web search engines ; Internet marketing ; Web sites Ratings and rankings ; Program transformation (Computer programming) ; Internet searching ; Electronic books
    Abstract: Three acknowledged experts in search engine optimization share guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy. Complete with an array of effective tactics from basic to advanced, this fourth edition prepares digital marketers for 2022 and beyond with updates on SEO tools and new search engine optimization methods that have reshaped the SEO landscape. Novices will receive a thorough SEO education, while experienced SEO practitioners get an extensive reference to support ongoing engagements. Learn about the various intricacies and complexities of internet search Explore the underlying theory and inner workings of search engines and their algorithms Understand the interplay between social media engagement and other factors Discover tools to track results and measure success Examine the effects of key Google algorithm updates Consider opportunities for visibility in mobile, local, vertical, social, and voice search Build a competent SEO team with defined roles Gain insights into the future of search and internet discoverability
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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    Programming C# 10 (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (349 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: C# is undeniably one of the most versatile programming languages available to engineers today. With this comprehensive guide, you'll learn just how powerful the combination of C# and .NET can be. Author Ian Griffiths guides you through C# 10.0 and .NET 6 fundamentals and techniques for building cloud, web, and desktop applications. Designed for experienced programmers, this book provides many code examples to help you work with the nuts and bolts of C#, such as generics, LINQ, and asynchronous programming features. You'll get up to speed on .NET 6 and the latest C# 9.0 and 10.0 additions, including records, enhanced pattern matching, and the new features designed to remove "ceremony" to improve productivity. Understand how .NET has changed in the most recent releases, and learn what it means for application development Select the most appropriate C# language features for any task Learn when to use the new features and when to stick with older ones Examine the range of functionality available in .NET's class libraries Learn how you can apply these class libraries to practical programming tasks Explore numerous small editions to .NET that improve expressiveness
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    Product Management in Practice, 2nd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 2nd edition
    Keywords: Electronic books
    Abstract: Product management has become a critical function for modern organizations, from small startups to global enterprises. And yet the day-to-day work of product management remains largely misunderstood. In theory, product managers are visionary leaders building products that delight customers. In practice, product managers are thoughtful facilitators navigating difficult conversations, frustrating compromises, and hard-won incremental gains. In this thoroughly revised and expanded second edition of his beloved Product Management in Practice, author Matt LeMay provides the practical, day-to-day guidance that product managers need to navigate an ambiguous role in a fast-changing world. Updated and expanded for the era of remote and hybrid work, Product Management in Practice answers the tricky questions that you may have been afraid to ask about the real-world practice of product management. For current and aspiring product managers, this book explores: Choosing clarity over comfort to avoid disastrous miscommunications Learning to love the unique constraints of your role and organization Talking to users and working with executives Crafting simple and actionable product strategies Choreographing space and time to facilitate remote collaboration Avoiding pointless arguments about Agile
    Note: Online resource; Title from title page (viewed July 25, 2022) , Mode of access: World Wide Web.
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    Leveraging Kustomize for Kubernetes Manifests (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (46 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Kubernetes has achieved unparalleled dominance as the platform for running containerized workloads by automating and simplifying key functions. But the process for working with specifications for Kubernetes workloads, known as manifests, is neither automated nor simplified. Managing these requirements is a high-cost activity up front, and an additional cost burden when reuse is needed. In this report, author Brent Laster shows software developers, Kubernetes administrators, and DevOps engineers how the Kustomize container orchestration system helps simplify and alleviate these challenges. You'll gain an overall understanding of Kustomize, including how this system functions, how it compares to tools like Helm, and how it works with your strategy for managing Kubernetes manifests. In this report, you will: Learn the Kubernetes value proposition for defining and executing workloads Get a brief survey of application deployment and reuse options with Kubernetes Explore the basic tenets of Kustomize's approach Understand how Kustomize compares to the Helm package manager Examine the unique value-adds that Kustomize provides for simplifying reuse
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    C# 10 Pocket Reference (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (258 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Looking for quick answers for using C# 10? This tightly focused and practical guide tells you exactly what you need to know without long intros or bloated samples. Succinct and easy to browse, this pocket reference is an ideal quick source of information. If you know Java, C++, or an earlier C# version, this guide will help you get rapidly up to speed. 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# 10 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 25, 2022) , Mode of access: World Wide Web.
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    Robust Python (2022)
    [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
    Abstract: Do you use Python? Do you feel like your projects are getting bigger and bigger? Are you feeling the pain as your codebase grows and gets tougher to debug and maintain? Python is an easy language to learn and develop in, but that also means it's easy for systems to grow beyond comprehension quickly. Thankfully, Python has features that help developers overcome maintainability woes. In this book, we're going to look at how to effectively use Python's typing system to the max. We'll look at user defined types, such as classes and enums, as well as Python's type hinting system. We'll explore how to make your Python extensible, and how to have a comprehensive testing strategy as a safety net. At the end, you'll be able to write clearer and more maintainable code using Python types.
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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    High Performance MySQL, 4th Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: How can you realize MySQL's full power? With High Performance MySQL , you'll learn advanced techniques for everything from choosing the right abstraction layer for databases to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve their full potential. This guide also teaches database administrators safe and practical ways to scale applications through replication, load balancing, high availability, and failover. Updated to reflect recent advances in cloud- and self-hosted MySQL, InnoDB performance, features, and tools, this revised edition helps you design a data platform that will scale with your business. You'll learn the latest in cloud-hosted MySQL offerings, best practices for database security, and hard-earned lessons in both performance and database stability. Dive into MySQL's architecture, including key facts about its storage engines Learn how server configuration works with your hardware and deployment choices Make query performance part of your software delivery process Examine enhancements to MySQL's replication and high availability Compare different MySQL offerings in managed cloud environments Explore MySQL's full stack optimization from application-side configuration to server tuning Turn traditional database management tasks into automated processes
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    Learning Test-Driven Development (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Your code is a testament to your skills as a developer. No matter what language you use, your code should be clean, elegant, and uncluttered? With test-driven development (TDD), you'll write better code--code that's easy to understand, retains its elegance, and works for years to come. This indispensable guide will show you how TDD works in three different languages: Go, JavaScript, and Python. With Learning Test-Driven Development at your side, you'll be able to: Tame domain complexity using a divide-and-conquer approach Understand how TDD works across languages, testing frameworks, and domain concepts See how TDD enables continuous integration and continuous delivery Support refactoring and redesign with TDD Set up a continuous integration environment with the unit tests produced during TDD Write clean, uncluttered code using TDD in Go, JavaScript, and Python
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    Head First Git (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: What will you learn from this book? Many people who use Git rely on "recipes"—basic copy-paste commands—without understanding how this version control system actually works. But what do you do if you find yourself in a tight spot? You can't simply wing it. With this unique hands-on guide, you'll learn valuable ways to use Git in many different situations. Raju Gandhi peels back the layers to reveal the simple yet powerful engine that powers Git, with activities that help you truly understand this crucial tool as you get it up and running. You’ll master branches, tags, stashes, and merges; learn best practices; collaborate with your team; and unlock the full potential of Git. 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 Git 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 June 25, 2022) , Mode of access: World Wide Web.
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    Ansible : Up and Running, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098109127 , 1098109120
    Language: English
    Pages: 1 online resource (58 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als
    DDC: 004.068/8
    Keywords: Configuration management ; Programming languages (Electronic computers) ; Open source software ; Electronic books ; local ; Electronic books
    Abstract: Among the many configuration management tools available, Ansible has some distinct advantages: It's minimal in nature. You don't need to install anything on your nodes. And it has an easy learning curve. With this updated third edition, you'll quickly learn how to be productive with this tool, whether you're a developer deploying code to production or a system administrator looking for a better automation solution. Authors Bas Meijer, Lorin Hochstein, and Rene Moser show you how to write playbooks (Ansible's configuration management scripts), manage remote servers, and explore the tool's real power: built-in declarative modules. You'll learn how Ansible has all the functionality you need and the simplicity you desire. Explore Ansible configuration management and deployment Learn how to apply Ansible best practices Understand how to use the new collections format Create a local development environment Generate reusable Ansible content for open source middleware Build container images, images for cloud instances, and cloud computing instances Ready to use Ansible for mission-critical work? With this new edition, you'll learn how to eliminate the guesswork and assumptions when using software engineering methods to validate code quality.
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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    Version Control with Git, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Track, branch, merge, and manage code revisions with Git, the free and open source distributed version control system. Through a series of step-by-step tutorials, this practical guide quickly takes you from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating Git's many functions. You'll learn how to work with everything from small to very large projects with speed and efficiency. In this third edition, authors Prem Kumar Ponuthorai and Jon Loeliger break down Git concepts using a modular approach. You'll start with the basics and fundamental philosophy of Git, followed by intermediate commands to help you efficiently supplement your daily development workflow. Finally, you'll learn advanced Git commands and concepts to understand how Git works under the hood. Learn how to use Git for real-world development scenarios Gain insight into Git's common use cases, initial tasks, and basic functions Use the system for distributed version control Learn how to manage merges, conflicts, patches, and diffs Apply advanced techniques such as rebasing, hooks, and ways to handle submodules
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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    MySQL Cookbook, 4th Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781492093138 , 1492093130
    Language: English
    Pages: 1 online resource (106 pages)
    Edition: 4th edition
    DDC: 005.75/65
    Keywords: MySQL (Electronic resource) ; SQL (Computer program language) ; Database management ; Relational databases ; Electronic books ; local ; Electronic books
    Abstract: For MySQL, the price of popularity comes with a flood of questions from users on how to solve specific data-related issues. That's where this cookbook comes in. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don't have the time (or expertise) to resolve MySQL problems from scratch. In this updated fourth edition, authors Sveta Smirnova and Alkin Tezuysal provide more than 200 recipes that cover powerful features in both MySQL 5.7 and 8.0. Beginners as well as professional database and web developers will dive into topics such as MySQL Shell, MySQL replication, and working with JSON. You'll learn how to: Connect to a server, issue queries, and retrieve results Retrieve data from the MySQL Server Store, retrieve, and manipulate strings Work with dates and times Sort query results and generate summaries Assess the characteristics of a dataset Write stored functions and procedures Use stored routines, triggers, and scheduled events Perform basic MySQL administration tasks Understand MySQL monitoring fundamentals
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    Consul : Up and Running (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: With the advent of microservices, Kubernetes, public cloud, and hybrid computing, SREs and system engineers are facing more complexity than ever before. To tackle this problem, you need a unified control plane to manage the networking among your applications running on these distinct platforms. This definitive guide shows you how to automate networking for simple and secure application delivery with Consul. Author Luke Kysow, Consul engineer at HashiCorp, demonstrates how this service mesh solution provides a software-driven approach to security, observability, and traffic management. Once you learn how to implement zero-trust networking by deploying Consul on multiple platforms, you'll be able to take control of application traffic, prevent outages, view metrics, integrate with legacy systems, and more. Dive into the characteristics of service meshes, zero-trust networking, and traffic-shaping patterns Deploy Consul on multiple platforms, including Kubernetes and virtual machines Learn how to secure, monitor, and manage your application traffic with Consul Use this guide to deploy and operate applications as a system administrator, DevOps engineer, or developer
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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    Learning TypeScript (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (44 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: TypeScript has conquered the world of JavaScript: it's one of the world's fastest growing and most popular languages across developer surveys, widely used in consumer and business companies alike, and frequently credited for helping massive web applications scale. But what is TypeScript? How does it work, why does it work, and how can we use it? Learning TypeScript takes beginner to intermediate JavaScript programmers from knowing nothing about "types" or a "type system" to full mastery of the fundamentals of TypeScript. It's more than a means to find bugs and typos--it's a useful system for declaring the way our JavaScript should work and helping us stick to it. You'll learn how TypeScript: interacts with JavaScript analyzes and understands code augments your existing development pattern helps you document your code works with IDEs to provide refactoring tools assists local development in refactoring code helps you develop more quickly with fewer bugs
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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    Learning Functional Programming (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098111724 , 1098111729
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.1/14
    Keywords: Functional programming (Computer science) ; Computational complexity ; Electronic books ; local ; Electronic books
    Abstract: Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects. Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming. Learn functional programming fundamentals and explore the way functional programmers approach problems Understand how FP differs from object-oriented and imperative programming Use a set of practical, applicable design patterns that model reality in a functional way Learn how to incorporate FP and OOP features into software projects Apply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    Hands-on Selenium WebDriver with Java (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (85 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get started with Selenium WebDriver, the open source library for automating tests to ensure your web application performs as expected. In this practical hands-on book, author Boni Garcia takes Java developers through Selenium's main features for automating web navigation, browser manipulation, web element interaction, and more, with ready-to-be-executed test examples. You'll start by learning the core features of the Selenium framework (composed by WebDriver, Grid, and IDE) and its ecosystem. Discover why Selenium is the de facto framework for developing end-to-end tests on your web application. You'll explore ways to use advanced Selenium WebDriver features, including using web browsers in Docker containers or the DevTools protocol. Selenium WebDriver examples in this book are available on GitHub. With this book, you'll learn how to: Set up a Java project containing end-to-end tests that use Selenium WebDriver Conduct automated interaction with web applications Use strategies for managing browser-specific capabilities and cross-browser testing Interact with web forms, manage pop-up messages, and execute JavaScript Control remote browsers and use advanced browser infrastructure for Selenium WebDriver tests in the cloud Model web pages using object-oriented classes to ease test maintenance and reduce code duplication
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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    Certified Kubernetes Administrator (CKA) Study Guide (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 1st edition
    DDC: 005.3
    Keywords: Application software Study guides Development ; Virtual computer systems Study guides ; Open source software ; Computer programmers Certification ; Electronic books ; local ; Electronic books ; Computer programmers ; Certification ; Open source software ; Virtual computer systems ; Application software ; Development ; Study guides
    Abstract: The ability to administer and monitor a Kubernetes cluster is in high demand today. To meet this need, the Cloud Native Computing Foundation developed a certification exam to establish a system administrator's credibility and value in the job market to confidently work in a Kubernetes environment. The Certified Kubernetes Administrator (CKA) certification exam is different from the typical multiple-choice format of other professional certifications. Instead, the CKA is a performance-based exam that requires deep knowledge of the tasks under immense time pressure. This study guide walks you through all the topics covered to fully prepare you for the exam. Author Benjamin Muschko also shares his personal experience with preparing for all aspects of the exam. Learn when and how to apply Kubernetes concepts to administrate a production-grade cluster Understand the objectives, abilities, and tips and tricks needed to pass the CKA exam Explore the ins and outs of the kubectl command-line tool Demonstrate competency to perform the responsibilities of a Kubernetes system administrator Solve real-world Kubernetes problems in a hands-on command-line environment Effectively navigate and solve questions during the CKA exam
    Note: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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    Cloud Native Security Cookbook (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (133 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: With the rise of the cloud, every aspect of IT has been shaken to its core. The fundamentals for building systems are changing, and although many of the principles that underpin security still ring true, their implementation has become unrecognizable. This practical book provides recipes for AWS, Azure, and GCP to help you enhance the security of your own cloud native systems. Based on his hard-earned experience working with some of the world's biggest enterprises and rapidly iterating startups, consultant Josh Armitage covers the trade-offs that security professionals, developers, and infrastructure gurus need to make when working with different cloud providers. Each recipe discusses the inherent trade-offs, as well as where clouds have similarities and where they're fundamentally different. Learn how the cloud provides superior security to what was achievable in an on-premises world Understand the principles and mental models that enable you to make optimal trade-offs as part of your solution Learn how to implement existing solutions that are robust and secure, and devise design solutions to new and interesting problems Deal with security challenges and solutions both horizontally and vertically within your business
    Note: Online resource; Title from title page (viewed June 25, 2022) , Mode of access: World Wide Web.
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    A Functional Approach to Java (2022)
    [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: Java developers usually tackle the complexity of software development through object-oriented programming (OOP). But not every problem is a good match for OOP. The functional programming (FP) paradigm offers you another approach to solving problems, and Java provides easy-to-grasp FP tools such as lambdas and streams. If you're interested in applying FP concepts to your Java code, this book is for you. Author Ben Weidig highlights different aspects of functional programming and shows you how to incorporate them in your code without going "fully functional." You'll learn how, when, and why to use FP concepts such as immutability and pure functions to write more concise, reasonable, and future-proof code. Many developers seek to expand their horizons by using OOP and FP together. It's no longer either-or; it's both. In two parts, this book includes: A Functional Approach: Get a high-level overview of functional programming, including the types already available to Java developers. Then explore different FP concepts and learn how to use them. Real-World Problems, Patterns, and Recipes: Apply what you've learned in part one to the typical real-world problems you might encounter in your daily work.
    Note: Online resource; Title from title page (viewed December 25, 2022) , Mode of access: World Wide Web.
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    Efficient Linux at the Command Line (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (72 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Want to increase your Linux productivity to get more done in less time? This practical book teaches you how to be quick and efficient at the Linux command line. You'll learn to create and run complex commands that solve real business problems, organize your files for quick access, efficiently process and retrieve information, and automate manual tasks. You'll truly understand what happens behind the shell prompt. Efficient Linux at the Command Line teaches general best practices and the concepts behind them, so no matter which Linux tools you use, you can become more effective in your daily work and more competitive in the job market. You'll learn: How to invent powerful Linux commands on the fly that get your work done quickly Which Linux features are handled by commands and which are built into the shell that launches those commands--and why it matters A dozen different ways to run commands, including pipelines, subshells, command substitution, process substitution, and more--and when to use each for best advantage
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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    Efficient Go (2022)
    [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
    Abstract: Software engineers today typically put performance optimizations low on the list of development priorities. But despite significant technological advancements and lower-priced hardware, software efficiency still matters. With this book, Go programmers will learn how to approach performance topics for applications written in this open source language. How and when should you apply performance efficiency optimization without wasting your time? Authors Bartlomiej Plotka and Frederic Branczyk provide the tools and knowledge you need to make your system faster using fewer resources. Once you learn how to address performance in your Go applications, you'll be able to bring small but effective habits to your programming and development cycle. This book shows you how to: Continuously monitor for performance and efficiency regressions Find the root cause of performance bottlenecks using metrics, logging, tracing, and profiling Use tools like pprof, go test, benchstat and k6.io to create reliable micro- and macro-benchmarks Improve and optimize your code to meet your goals without sacrificing simplicity and readability Make data-driven decisions by prioritizing changes that make a difference Introduce basic "performance hygiene" in day-to-day Go programming and testing
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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    Designing Autonomous AI (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098110703 , 1098110706
    Language: English
    Pages: 1 online resource (75 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 006.3
    Keywords: Artificial intelligence ; Automation ; Decision making Data processing ; Electronic books ; Automation ; Decision making ; Data processing ; Artificial intelligence
    Abstract: Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
    Note: Online resource; Title from title page (viewed June 25, 2022) , Mode of access: World Wide Web.
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    Data Visualization with Python and JavaScript, 2nd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 2nd edition
    Keywords: Electronic books
    Abstract: How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. You'll learn how to: Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries
    Note: Online resource; Title from title page (viewed December 25, 2022) , Mode of access: World Wide Web.
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    Hands-on Healthcare Data (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (40 pages)
    Edition: 1st edition
    DDC: 610.285
    Keywords: Medical informatics Research ; Medicine Data processing ; Electronic books
    Abstract: Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved — once you learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics. With this book, you'll learn: The different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims data The challenges of working with healthcare data, especially when trying to aggregate data from multiple sources Current options for extracting structured data from clinical text How to make trade-offs when using tools and frameworks for normalizing structured healthcare data How to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    Fundamentals of Data Engineering (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 1st edition
    DDC: 004.6782
    Keywords: Database management ; Big data ; Data mining ; Data Mining ; Electronic books ; Données volumineuses ; Exploration de données (Informatique) ; Big data ; Data mining ; Database management ; Bases de données ; Gestion
    Abstract: Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 95
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    C++ Software Design (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (62 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Good software design is essential for the success of your project, but designing software is hard to do. You need to have a deep understanding of the consequences of design decisions and a good overview of available design alternatives. With this book, experienced C++ developers will get a thorough, practical, and unparalleled overview of software design with this modern language. C++ trainer and consultant Klaus Iglberger explains how you can manage dependencies and abstractions, improve changeability and extensibility of software entities, and apply and implement modern design patterns to help you take advantage of today's possibilities. Design is the most essential aspect of a software project because it impacts the software's most important properties: maintainability, changeability, and extensibility. Learn how to evaluate your code with respect to software design Understand what software design is, including design goals such as changeability and extensibility Explore the advantages and disadvantages of each design approach Learn how design patterns help solve problems and express intent Choose the right form of a design pattern to gain most of its advantages
    Note: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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  • 96
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    What Is Data Observability? (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: By 2025, the estimated global volume of data is expected to reach 180 ZB, more than double the amount collected in 2020. Yet despite data's increased presence and value within organizations, solutions for ensuring data quality have received little attention. This report examines how adequate observability combined with best practices for data logging and monitoring can help organizations efficiently redistribute their management of data quality and analytics. Kensu CEO Andy Petrella explains how a data observability solution will help your IT and data teams detect and stop incident propagation by tracking and measuring data usage performance across systems, projects, and applications in real time. You'll discover how data observability makes it much easier to find and fix the root cause of problems. Learn how to monitor applications that collect, copy, and modify data Detect anomalies based on historical data information Leverage lineage and historical data information to find an incidentâ??s initial cause Use automated logging and tracing of data and data pipelines to evaluate quality and identify issues Apply DevOps practices to achieve greater visibility, confidence, and speed at the data level Explore how data observability influences team dynamics
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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  • 97
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    AWS System Administration, 2nd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (81 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: With Amazon Web Services and other platforms designed for rapid adaptation and failure recovery, cloud computing is more like programming than traditional system administration. For developers, this practical book provides system administration knowledge to ensure you're using AWS effectively, so you can build a robust and resilient application infrastructure. System administrators will learn how to automate their favorite tools and processes. In the second edition of this guide, authors Federico Lucifredi, Jacob Zimmerman, and Mike Ryan show developers and system administrators how to configure and manage AWS services including EC2, CloudFormation, Elastic Load Balancing, S3, and Route 53. Fully configuring infrastructure with automation, this book walks you through developing a complete application example along the way. Even small DevOps teams can manage massively scalable application infrastructures once they drop old views and master automation. Securely deploy and manage your applications with AWS tools Automate AWS configuration management with Python, Puppet, and Ansible Deploy applications with autoscaling and elastic load balancing Explore ways to deploy application and infrastructure updates Save time on development and operations with reusable strategies Embrace GitOps versioning of infrastructure and application code alike Learn strategies for managing log files in AWS environments Configure a cloud-aware DNS service with Route 53 Use AWS CloudWatch to monitor your infrastructure and applications
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 98
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    Training Data for Machine Learning Models (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781492094494 , 1492094498
    Language: English
    Pages: 1 online resource (75 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 658.4/03
    Keywords: Database management ; Machine learning ; Management information systems ; Business Databases Management ; Information storage and retrieval systems Reliability ; Electronic books ; local ; Electronic books ; Bases de données ; Gestion ; Apprentissage automatique ; Systèmes d'information de gestion ; Affaires ; Bases de données ; Gestion ; Systèmes d'information ; Fiabilité
    Abstract: Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. You'll gain a solid understanding of the concepts, tools, and processes needed to: Design, deploy, and ship training data for production-grade deep learning applications Integrate with a growing ecosystem of tools Recognize and correct new training data-based failure modes Improve existing system performance and avoid development risks Confidently use automation and acceleration approaches to more effectively create training data Avoid data loss by structuring metadata around created datasets Clearly explain training data concepts to subject matter experts and other shareholders Successfully maintain, operate, and improve your system
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 99
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    Online Resource
    RESTful Web Microservices Cookbook (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (63 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Many organizations today orchestrate and maintain apps that rely on other people's services. Software designers, developers, and architects in those companies often work to coordinate and maintain apps based on existing microservices, including third-party services that run outside their ecosystem. This cookbook provides proven recipes to help you get those many disparate parts to work together in your network. Author Mike Amundsen provides step-by-step solutions for finding, connecting, and maintaining applications designed and built by people outside the organization. Whether you're working on human-centric mobile apps or creating high-powered machine-to-machine solutions, this guide shows you the rules, routines, commands, and protocols--the glue --that integrates individual microservices so they can function together in a safe, scalable, and reliable way. Design and build individual microservices that can successfully interact on the open web Increase interoperability by designing services that share a common understanding Build client applications that can adapt to evolving services without breaking Create resilient and reliable microservices that support peer-to-peer interactions on the web Use web-based service registries to support runtime "find-and-bind" operations that manage external dependencies in real time Implement stable workflows to accomplish complex, multiservice tasks consistently
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 100
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    Online Resource
    SQL in a Nutshell, 4th Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781492088851 , 1492088854
    Language: English
    Pages: 1 online resource (650 pages)
    Edition: 4th edition
    DDC: 005.75/85
    Keywords: SQL server ; SQL (Computer program language) ; Client/server computing ; Electronic books ; local ; Electronic books ; Client/server computing ; SQL (Computer program language) ; SQL server
    Abstract: For programmers, analysts, and database administrators, this Nutshell guide is the essential reference for the SQL language used in today's most popular database products. This new fourth edition clearly documents SQL commands according to the latest ANSI/ISO standard and details how those commands are implemented in Microsoft SQL Server 2019 and Oracle 19c, as well as in the MySQL 8, MariaDB 10.5, and PostgreSQL 13 open source database products. You'll also get a concise overview of the relational database management system (RDBMS) model and a clear-cut explanation of foundational RDBMS concepts--all packed into a succinct, comprehensive, and easy-to-use format. Sections include: Background on the relational database model, including current and previous SQL standards Fundamental concepts necessary for understanding relational databases and SQL commands An alphabetical command reference to SQL statements, according to the SQL:2016 ANSI standard The implementation of each command by MySQL, Oracle, PostgreSQL, and SQL Server An alphabetical reference of the ANSI SQL:2016 functions and constructs as well as the vendor implementations Platform-specific functions unique to each implementation
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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