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  • Safari, an O’Reilly Media Company.  (321)
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  • 1
    Online-Ressource
    Online-Ressource
    Alteryx Designer : The Definitive Guide (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098107499 , 1098107497
    Sprache: Englisch
    Seiten: 1 online resource (66 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 005.75/65
    Schlagwort(e): Database management Software ; Data mining Software ; Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2023) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 2
    Online-Ressource
    Online-Ressource
    Essential Math for AI (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (54 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed February 25, 2023) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 3
    Online-Ressource
    Online-Ressource
    High Performance MySQL, 4th Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (61 pages)
    Ausgabe: 4th edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 4
    Online-Ressource
    Online-Ressource
    Learning Test-Driven Development (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (82 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 5
    Online-Ressource
    Online-Ressource
    Advanced Analytics with PySpark (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098103620 , 1098103629
    Sprache: Englisch
    Seiten: 1 online resource (41 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 006.3/12
    Schlagwort(e): SPARK (Electronic resource) ; Python (Computer program language) ; Data mining ; Electronic books ; local ; Electronic books ; Data mining ; Python (Computer program language) ; SPARK (Electronic resource)
    Kurzfassung: 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
    Anmerkung: 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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  • 6
    Online-Ressource
    Online-Ressource
    SQL Server Advanced Troubleshooting and Performance Tuning (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (48 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 7
    Online-Ressource
    Online-Ressource
    Modern Data Protection (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (118 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 8
    Online-Ressource
    Online-Ressource
    Service Mesh Patterns (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (33 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 9
    Online-Ressource
    Online-Ressource
    Practical Fraud Prevention (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (33 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 10
    Online-Ressource
    Online-Ressource
    Hands-On Systems Programming with Rust (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (156 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 11
    Online-Ressource
    Online-Ressource
    Responsible AI (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (63 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 12
    Online-Ressource
    Online-Ressource
    Python for Data Analysis, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (60 pages)
    Ausgabe: 3rd edition
    Paralleltitel: Erscheint auch als
    DDC: 006.3/12
    Schlagwort(e): Data mining ; Python (Computer program language) ; Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 13
    Online-Ressource
    Online-Ressource
    RESTful Web Microservices Cookbook (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (63 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 14
    Online-Ressource
    Online-Ressource
    AWS System Administration, 2nd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (81 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 15
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    Online-Ressource
    Snowflake : The Definitive Guide (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098103798 , 1098103793
    Sprache: Englisch
    Seiten: 1 online resource (65 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 16
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    Running Lean, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (240 pages)
    Ausgabe: 3rd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 17
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    Cloud Native DevOps with Kubernetes, 2nd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (64 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 18
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    Qiskit Pocket Guide (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098112448 , 109811244X
    Sprache: Englisch
    Seiten: 1 online resource (70 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 006.7/6
    Schlagwort(e): Application software Development ; Quantum computing ; Electronic books ; local ; Electronic books ; Quantum computing ; Application software ; Development
    Kurzfassung: Why is the quantum computing market expected to grow by nearly $1.3 billion over the next five years? Given their quantum mechanical nature, quantum computers can solve difficult problems in fields such as chemistry, optimization, finance, and machine learning that classical computers find impossible to unravel. This pocket guide provides software developers with a quick reference to Qiskit, an open source SDK for working with quantum computers. Packed with helpful programming examples, tables, figures, and lists, this handy book helps you find the information you need to develop and debug quantum programs. Whether you're focused on business, engineering, or scientific applications, you'll learn how to choose and apply the appropriate Qiskit classes, methods, and functions. You'll also learn how to use the latest version of the Open Quantum Assembly Language, OpenQASM 3.0.
    Anmerkung: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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  • 19
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    Designing Machine Learning Systems (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (78 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be quick to fall apart. In this book, Chip Huyen provides a framework for designing real-world ML systems that are quick to deploy, reliable, scalable, and iterative. These systems have the capacity to learn from new data, improve on past mistakes, and adapt to changing requirements and environments. Youâ??ll learn everything from project scoping, data management, model development, deployment, and infrastructure to team structure and business analysis. Learn the challenges and requirements of an ML system in production Build training data with different sampling and labeling methods Leverage best techniques to engineer features for your ML models to avoid data leakage Select, develop, debug, and evaluate ML models that are best suit for your tasks Deploy different types of ML systems for different hardware Explore major infrastructural choices and hardware designs Understand the human side of ML, including integrating ML into business, user experience, and team structure
    Anmerkung: Online resource; Title from title page (viewed June 25, 2022) , Mode of access: World Wide Web.
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  • 20
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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
    Sprache: Englisch
    Seiten: 1 online resource (58 pages)
    Ausgabe: 3rd edition
    Paralleltitel: Erscheint auch als
    DDC: 004.068/8
    Schlagwort(e): Configuration management ; Programming languages (Electronic computers) ; Open source software ; Electronic books ; local ; Electronic books
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 21
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    CockroachDB : The Definitive Guide (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (59 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 22
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    Efficient MySQL Performance (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (187 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 23
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    Version Control with Git, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (61 pages)
    Ausgabe: 3rd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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  • 24
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    Full Stack Testing (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (50 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 25
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    Q# Pocket Guide (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098108830 , 1098108833
    Sprache: Englisch
    Seiten: 1 online resource (43 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 005.26/2
    Schlagwort(e): Quantum computing ; Programming languages (Electronic computers) ; Electronic books ; local ; Electronic books ; Quantum computing ; Programming languages (Electronic computers)
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 26
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    Hands-on Selenium WebDriver with Java (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (85 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 27
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    Python for Geospatial Data Analysis (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (37 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 28
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    bash Idioms (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (35 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Shell scripts are everywhere, especially those written in bash compatible syntax, and it's extremely useful to be able to understand and write them, but they can be complex and obscure. Complexity is the enemy of security, but it's also the enemy of readability and understanding. With this practical book, you'll learn how to decipher old bash code and write new code that's as clear and readable as possible. Your future you will thank you. Authors Carl Albing and JP Vossen show you how to use the power and flexibility of the shell to your advantage. You'll learn how to read and write scripts like an expert, so that you can: Write useful, flexible, and readable bash code...with style Decode bash code such as ${MAKEMELC,,} and ${PATHNAME##*/} Save time and ensure consistency when automating tasks Amaze and impress colleagues with bash idioms Discover how bash idioms can make your code clean and concise
    Anmerkung: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 29
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    Natural Language Processing with Transformers (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Ausgabe: Revised Edtion
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 25, 2022)
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    Communicating with Data (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (157 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 31
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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
    Sprache: Englisch
    Seiten: 1 online resource (46 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 005.1
    Schlagwort(e): Computer software Development ; System design ; Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 32
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    SQL in a Nutshell, 4th Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781492088851 , 1492088854
    Sprache: Englisch
    Seiten: 1 online resource (650 pages)
    Ausgabe: 4th edition
    DDC: 005.75/85
    Schlagwort(e): SQL server ; SQL (Computer program language) ; Client/server computing ; Electronic books ; local ; Electronic books ; Client/server computing ; SQL (Computer program language) ; SQL server
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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    Modern Mainframe Development (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (51 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 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
    Details
    Sprache: Englisch
    Seiten: 1 online resource (78 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed July 25, 2022) , Mode of access: World Wide Web.
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    Modern Linux System Administration (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (32 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: 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
    Sprache: Englisch
    Seiten: 1 online resource (35 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 005.1/14
    Schlagwort(e): Functional programming (Computer science) ; Computational complexity ; Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed August 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
    Sprache: Englisch
    Seiten: 1 online resource (61 pages)
    Ausgabe: 1st edition
    DDC: 005.3
    Schlagwort(e): 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
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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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
    Sprache: Englisch
    Seiten: 1 online resource (75 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 658.4/03
    Schlagwort(e): 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
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed January 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
    Sprache: Englisch
    Seiten: 1 online resource (35 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed May 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
    Sprache: Englisch
    Seiten: 1 online resource (106 pages)
    Ausgabe: 4th edition
    DDC: 005.75/65
    Schlagwort(e): MySQL (Electronic resource) ; SQL (Computer program language) ; Database management ; Relational databases ; Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed August 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
    Sprache: Englisch
    Seiten: 1 online resource (44 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed September 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
    Details
    Sprache: Englisch
    Seiten: 1 online resource (133 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: 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
    Details
    Sprache: Englisch
    Seiten: 1 online resource (68 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed December 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
    Sprache: Englisch
    Seiten: 1 online resource (121 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: 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
    Details
    Sprache: Englisch
    Seiten: 1 online resource (500 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed March 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
    Sprache: Englisch
    Seiten: 1 online resource (68 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed June 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
    Details
    Sprache: Englisch
    Seiten: 1 online resource (150 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed February 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
    Sprache: Englisch
    Seiten: 1 online resource (93 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 005.74
    Schlagwort(e): Databases ; Graph databases ; Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed May 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
    Details
    Sprache: Englisch
    Seiten: 1 online resource (55 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed February 25, 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
    Details
    Sprache: Englisch
    Seiten: 1 online resource (65 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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    Building Cloud Native Applications on Google Cloud (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (450 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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
    Anmerkung: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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    Scala Cookbook, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (64 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Save time and trouble building object-oriented, functional, and concurrent applications with Scala 3. The latest edition of this comprehensive cookbook is packed with more than 250 ready-to-use recipes and 700 code examples to help you solve the most common problems when working with Scala and its popular libraries. Whether you're working on web, big data, or distributed applications, this cookbook provides recipes based on real-world scenarios for experienced Scala developers and for programmers just learning to use this JVM language. Author Alvin Alexander includes practical solutions from his experience using Scala for highly scalable applications that support concurrency and distribution. Recipes cover: Strings, numbers, and control structures Classes, methods, objects, traits, packaging, and imports Functional programming in a variety of situations Building Scala applications with sbt Collections covering Scala's wealth of classes and methods Actors and concurrency List, array, map, set, and more Files, processes, and command-line tasks Web services and interacting with Java Databases and persistence, data types and idioms
    Anmerkung: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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    Machine Learning Design Patterns (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (158 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hundreds of experts into advice you can easily follow. The authors, three Google Cloud engineers, describe 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the most appropriate remedy for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure that models are treating users fairly
    Anmerkung: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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    Behavioral Data Analysis with R and Python (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (68 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Most of the data that companies collect is related to customer behaviors, such as clicks on a website or purchases in a supermarket. But data science algorithms and predictive analytics tools aren't that specific, so customer data is treated the same way as, for example, astronomical or genomic data. This practical guide introduces powerful methods for behavioral data analysis that you're probably not aware of. Advanced experimental design will help you get the most out of your A/B tests, while causal diagrams will allow you to tease out causality from correlation even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data-immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way
    Anmerkung: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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    Learning Go (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (48 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Go is rapidly becoming the preferred language for building web services. There are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages. But tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner explains the rationale behind the Go team's design decisions and reveals design patterns that experienced Go developers have adopted. You'll learn how to structure your project and choose the proper tools and libraries to create successful software. Learn how to write idiomatic code in Go and design a Go project Understand the reasons for the design decisions in Go Set up a Go development environment for a solo developer or team Explore which libraries to select when solving problems Learn how Go's features allow the language to run efficiently Know which Go features you should use sparingly, or not at all
    Anmerkung: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Hands-On Data Visualization (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (81 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
    Anmerkung: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    Programming Rust, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (622 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: The Rust programming language offers the rare and valuable combination of statically verified memory safety and low-level control. Imagine C++ but without dangling pointers, null pointer dereferences, leaks, or buffer overruns. With this practical guide, systems programmers will understand Rust's rules clearly and economically. You'll learn how to express programs that Rust can prove are free of a broad class of common errors. Rust brings the benefits of an expressive modern type system to systems programming. Authors Jim Blandy and Jason Orendorff demonstrate how Rust's features put programmers in control over memory consumption and processor use, combining predictable performance with memory safety and trustworthy concurrency. You'll learn: How to write fast, safe, concurrent programs in Rust Rust's rules for managing memory efficiently, including ownership, borrowing, moves, and lifetimes How to design interfaces that fit well into the Rust ecosystem Rust's all-purpose Cargo tool for building, testing, and managing Rust packages High-level features like traits, generics, closures, and iterators that make Rust productive and flexible
    Anmerkung: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Reinforcement Learning (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (92 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to perform the reinforcement process that allows a machine to learn by itself. Author Dr. Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focusing on industrial applications, and learn numerous algorithms, frameworks, and environments. This is no cookbook-it doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into value methods and policy gradient methods Apply advanced RL implementations such as meta learning, hierarchical learning, evolutionary algorithms, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying Git repository
    Anmerkung: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    AI-First Healthcare (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (69 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a road map, and the confidence to support AI in their organizations-without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare's most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible How to use various AI technologies to go beyond precision medicine Delivering patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and identifying high-priority AI applications
    Anmerkung: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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    Python for Excel (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (200 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language-in fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein-creator of xlwings, a popular open source package that allows the automation of Excel with Python-shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for their daily automation tasks. This guide gets you started. Use Python without previous programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio Code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Write unit tests in Python to build solid spreadsheets
    Anmerkung: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Python for Algorithmic Trading (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (350 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Financial trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM platforms
    Anmerkung: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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    OpenShift in Production (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (41 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. When it comes to operating and scaling OpenShift, you need to understand how to manage and expose resources to application teams and how to continuously deliver changes to applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques and examples for operationalizing OpenShift and Kubernetes in the enterprise. Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more. This book shows you how to: Manage multiple teams in their use of OpenShift and Kubernetes Promote the efficient use of data center resources Deliver highly available applications and services Manage application tenancy throughout the enterprise Provide multicluster management and high availability Apply continuous updates to OpenShift and Kubernetes Devise and deliver disaster recovery strategies
    Anmerkung: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Data Pipelines Pocket Reference (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (110 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support machine learning and analytics needs Considerations for pipeline maintenance, testing, and alerting
    Anmerkung: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Data Governance : The Definitive Guide (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (50 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness
    Anmerkung: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Spring Boot : Up and Running (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (74 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: With over 75 million downloads per month, Spring Boot is the most widely used Java framework available. Its ease and power have revolutionized application development from monoliths to microservices. Yet Spring Boot's simplicity can also be confusing. How do developers learn enough to be productive immediately? This practical book shows you how to use this framework to write successful mission-critical applications. Mark Heckler from VMware, the company behind Spring, guides you through Spring Boot's architecture and approach, along with topics such as debugging, testing, and deployment. If you want to develop cloud native Java or Kotlin applications with Spring Boot rapidly and effectively-using reactive programming, building APIs, and creating database access of all kinds-this book is for you. Learn how Spring Boot simplifies cloud native application development and deployment Build reactive applications and extend communication across the network boundary to create distributed systems Understand how Spring Boot's architecture and approach increases developer productivity and application portability Deploy Spring Boot applications for production workloads rapidly and reliably Monitor application and system health for optimal performance and reliability Debug, test, and secure cloud-based applications painlessly
    Anmerkung: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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    Mastering Kafka Streams and ksqlDB (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (84 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide explores the world of real-time data systems through the lens of these popular technologies and explains important stream processing concepts against a backdrop of interesting business problems. Mitch Seymour, senior data systems engineer at Mailchimp, introduces you to both Kafka Streams and ksqlDB so that you can choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. In this book, you'll learn: Basic and advanced uses of Kafka Streams and ksqlDB How to transform, enrich, and process event streams How to build both stateless and stateful stream processing applications The different notions of time and the role it plays in stream processing How to to build event-driven microservices on top of continuous event streams Features, operational characteristics, deployment patterns, and configuration tips for both technologies
    Anmerkung: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Kafka : The Definitive Guide, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (76 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, or something else. Moving all of this data is just as important as the data itself. This book's updated second edition shows application architects, developers, and production engineers new to the Kafka open source streaming platform how to handle real-time data feeds. Additional chapters cover Kafka's AdminClient API, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: How publish-subscribe messaging fits in the big data ecosystem Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
    Anmerkung: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    Distributed Node.js (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (136 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Node.js is used by many companies for building performant backend services without sacrificing developer efficiency. Thanks to its approachable API and familiar syntax, Node.js is loved by engineers and used by startups and Fortune 500s alike. Backed by the world's largest package repository, its enterprise foothold is only expected to grow. In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack. Learn why running redundant copies of the same Node.js service is necessary Know which protocol to choose, depending on the situation Fine-tune your application containers for use in production Track down errors in a distributed setting to determine which service is at fault Simplify app code and increase performance by offloading work to a reverse proxy Build dashboards to monitor service health and throughput Find out why so many different tools are required when operating in an enterprise environment
    Anmerkung: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    AI and Machine Learning for Coders (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (41 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
    Anmerkung: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    React Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (76 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: React helps you create and work on an app in just a few minutes, but learning how to put all the pieces together is hard. How do you validate a form? Or implement a complex multistep user action without writing messy code? How do you test your code? Make it reusable? Wire it to a backend? Keep it easy to understand? The React Cookbook delivers answers fast. Many books teach you how to get started, understand the framework, or use a component library with React, but very few provide examples to help you solve particular problems. This easy-to-use cookbook includes the example code developers need to unravel the most common problems when using React, categorized by topic area and problem. You'll learn how to: Create a single-page application in React using a rich UI Structure code that can be worked on by large teams Integrate with backend services such as REST and GraphQL Use offline caching with technologies such as Redux or MobX Secure applications with technologies such as OAuth Deal with bugs and avoid common functional and performance problems
    Anmerkung: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    React : Up & Running, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (222 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With the second edition of this practical guide, Stoyan Stefanov-designer of the YSlow 2.0 performance tool-shows you how to build React components and organize them into maintainable, large-scale apps. If you're familiar with basic JavaScript syntax, you're ready to get started. Through the course of the book, web developers and programmers will build a complete custom app that lets you store data on the client. You'll quickly learn why some developers consider React the key to the web app development puzzle.
    Anmerkung: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Data Science on AWS (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (122 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale. The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days. Innovate quickly and save money with AWS's on-demand, serverless, and cloud-managed services Implement open source technologies such as Kubeflow, Kubernetes, TensorFlow, and Apache Spark on AWS Build and deploy an end-to-end, continuous ML pipeline with the AWS data science stack Perform advanced analytics on at-rest and streaming data with AWS and Spark Integrate streaming data into your ML pipeline for continuous delivery of ML models using AWS and Apache Kafka
    Anmerkung: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Building Microservices, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (400 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Distributed systems have become more fine-grained as organizations shift from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of problems. With lots of examples and practical advice, this expanded second edition takes a holistic view of the topics system architects and administrators must consider when building, managing, and evolving microservices architectures. Author Sam Newman provides you with a firm grounding in the concepts while diving into the latest solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. Through real-world examples, you'll learn how organizations worldwide are getting the most out of these architectures. Microservices technologies are moving quickly. This book brings you up to speed. Get new information on user interfaces, container orchestration, and serverless Use microservices to align system design with your organization's goals Explore options for integrating a service with the rest of your system Take an incremental approach when splitting monolithic codebases Deploy individual microservices through continuous integration Examine the complexities of testing and monitoring distributed services Manage security with expanded content around user-to-service and service-to-service models Understand the challenges of scaling microservices architectures
    Anmerkung: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Where Programming, Ops, AI, and the Cloud Are Headed in 2021 (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (20 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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    The Value of Open Source in the Cloud Era (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (28 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Two significant shifts characterize computing in the past two decades: the widespread use of free and open source software (FOSS) and migration to the cloud. How have these trends influenced one another? O'Reilly, in collaboration with IBM, conducted a survey of software development professionals during the fall of 2020 to discover the complex relationship between these two trends. More than 3,400 respondents from a variety of software disciplines, including developers and managers, indicated that FOSS is maintaining and perhaps even increasing its influence in the cloud age. The survey demonstrates that these professionals have a strong loyalty to open source software, which is motivated by real career benefits and greater professional opportunities. For instance, 95% of respondents agreed that experience with Linux was valuable to their career. And 70% of respondents prefer a cloud provider that's based on open source. This report delves into more key survey findings, including: The number of respondents who use open source software in some aspect of their operations How open source software stacks up against proprietary software The career and professional benefits that open source technologies provide How many respondents have chosen cloud providers based on their use of open source software The software technologies that respondents consider most important And more
    Anmerkung: Online resource; Title from title page (viewed February 1, 2021) , Mode of access: World Wide Web.
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    AI and the Law (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (84 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Where is artificial intelligence taking us? Concerns over "responsible" innovation have spawned debates since big data appeared, but apprehension has grown considerably with widespread adoption of AI. This report examines the legal liability related to AI systems, including where responsibility should lie for adverse effects, loss of privacy, and other challenges. Author Karen Kilroy discusses why society needs to create laws and ethical governance frameworks for AI. Product directors, CIOs, CEOs, and risk officers will explore how AI is interpreted in law and policymaking, including issues such as privacy, negligence, liability, ethics, and entity management. This report also contains ideas for ensuring AI doesn't escape human control--and that people who control it act in a responsible manner. You'll learn: What AI is: learn its broad range of capabilities and applications, and AI's ability to influence users The trust deficit: understand the uneasiness people have about the prospect of being replaced or devalued by AI's rapid and often stealth introduction to society AI and the legal industry: explore how AI is used in law and explore the liability of autonomous AI Innovating responsibly: examine ways that companies can learn from past mistakes and create frameworks for responsible innovation in the future
    Anmerkung: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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    97 Things Every UX Practitioner Should Know (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (250 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Tap into the wisdom of experts to learn what every UX practitioner needs to know. With 97 short and extremely useful tips, you'll discover new approaches to old problems, pick up road-tested best practices, and hone your skills through sound advice. Working in UX involves much more than just creating user interfaces. UX teams struggle with understanding what's important, which practices they should know deeply, or what approaches aren't helpful at all. With these 97 concise tips, editor Daniel Berlin presents a wealth of advice and knowledge from experts who have practiced UX throughout their careers. "Bring Themes, Not Interview Questions to Exploratory Research"--Shanti Kanhai "Design for Content First"--Marli Mesibov "Design for Universal Usability"--Ann Chadwick-Dias "Be Wrong on Purpose"--Skyler Taylor "A Diverse Participant Recruit Is Critical to Authentic User Research"--Megan Campos "Put On Your InfoSec Hat to Improve Your Designs"--Julie Meridian "Boost Your Emotional Intelligence to Move from Good UX to Great"--Priyama Barua
    Anmerkung: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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    AI and Analytics at Scale (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (101 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Getting large-scale data-driven applications for AI and analytics into production doesn't have to be challenging. Technical managers, senior technologists, and implementers today often overlook fundamental aspects of design and data infrastructure—aspects that can make the difference between failed approaches and reliable, successful production systems. In this exclusive report, you'll learn which practices work—and which don't—at large and innovative companies that have successfully integrated AI and analytics into their workflows. Over the past two years, authors Ted Dunning and Ellen Friedman have worked with a wide range of businesses to deliver in-production systems at a large scale. You'll learn practices that have been particularly beneficial, including many that have been disregarded. Understand why AI is at its best when coupled with analytics Build successful production systems—running AI and analytics on the same infrastructure—at scale with less effort, pressure, and cost Apply aspects of a scale-efficient system, including a comprehensive data strategy, containerization, and scalability without scaling IT Focus on the increasingly popular topics of AI and edge computing Explore an example data infrastructure: HPE Ezmeral Data Fabric
    Anmerkung: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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    The Rise of the Knowledge Graph (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (85 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Businesses manage data to understand the connections between their customers, products or services, features, markets, and anything else that affects the business. With a knowledge graph, you can represent these connections directly to analyze and understand the compound relationships that drive business innovation. This report introduces knowledge graphs and examines their ability to weave business data and business knowledge into an architecture known as a data fabric . Authors Sean Martin, Ben Szekely, and Dean Allemang explain graph data and knowledge representation and demonstrate the value of combining these two things in a knowledge graph. You'll learn how knowledge graphs enable an enterprise-scale data fabric and discover what to expect in the near future as this technology evolves. This report also examines the evolution of databases, data integration, and data analysis to help you understand how the industry reached this point. Learn how graph technology enables you to represent knowledge and link it to data Understand how graph technology emphasizes the connected nature of data Use a data fabric to support other data-intensive tasks, including machine learning and data analysis Examine how a data fabric supports intense data-driven business initiatives more robustly than a simple database or data architecture
    Anmerkung: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Think Bayes, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (300 pages)
    Ausgabe: 2nd edition
    Paralleltitel: Erscheint auch als Downey, Allen B. Think Bayes
    RVK:
    ST 601
    Schlagwort(e): Electronic books ; local
    Kurzfassung: If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book's computational approach helps you get a solid start. Use your programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing Get started with simple examples, using coins, dice, and a bowl of cookies Learn computational methods for solving real-world problems
    Anmerkung: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Reactive Systems in Java (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (91 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Reactive systems and event-driven architecture are becoming essential to application design--and companies are taking note. Reactive systems ensure applications are responsive, resilient, and elastic no matter what failures, latency, or other errors may be occurring, while event-driven architecture offers a flexible and composable option for distributed systems. This practical resource helps you bring these approaches together using Quarkus, a Java framework that greatly simplifies the work developers must undertake for cloud deployments. This book covers how Quarkus 2.0 reactive features allow the smooth development of reactive systems. Clement Escoffier and Ken Finnigan from Red Hat show you how to take advantage of event-driven and reactive principles to build more robust distributed systems, reducing latency and increasing throughput, particularly in your microservices and serverless applications. Java developers will also get a foundation in Quarkus, enabling you to create truly Kubernetes-native applications for the cloud. Understand the fundamentals of reactive systems and event-driven architecture Learn how to use Quarkus to build reactive applications Combine Quarkus with Apache Kafka or AMQP to build reactive systems Develop microservices that utilize messages with Quarkus for use in event-driven architectures
    Anmerkung: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Continuous API Management, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (60 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: A lot of work is required to release an API. But overplanning before an API matures is a wasted investment, and underplanning can lead to disaster. If you're just starting to build an API program and want to understand the work ahead of you, or you need to learn how to manage your existing APIs, this updated second edition provides maturity models for individual APIs and multi-API landscapes. How do you balance agility and speed with the need for robust and scalable operations? Four API management experts show software architects, program directors, and product owners how to maximize the value of their APIs by managing them as products through a continuous lifecycle. Learn which API decisions you need to govern Design, deploy, and manage APIs using an API-as-a-product approach Examine the key pillars that form the foundation of API product work Learn how a continuous improvement model governs changes throughout an API's lifetime Explore the stages of a complete API product lifecycle Establish team roles needed to design, build, and maintain your APIs Manage and publish the set of APIs released by your organization
    Anmerkung: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Filling the Observability Gap (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (23 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: As organizations add systems, services, and cloud environments, they notice that their old ways of monitoring performance are no longer adequate. Even though they prioritize observability, operations teams are not finding ways to achieve it. According to a survey conducted in early 2021, managers and staff of more than 1,300 organizations reported that lack of observability into their systems and applications hampered their ability to trace and recover from problems. This report dives into the survey results to reveal three main challenges: lack of observability, high costs related to tools and training, and difficulties coordinating the teams who are trying to solve system and network problems. DevOps executives and practitioners will examine several issues throughout this report, including: The extent of tool sprawl, with trending data on the number and categories of both tools and data types deployed across teams The negative impacts caused by tool sprawl and siloed data on technological, business, and individual objectives A proposed approach to combat these challenges and issues by consolidating telemetry data into an observability platform
    Anmerkung: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Head First Swift (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (500 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Head First Swift Swift is a programming language you can rely on. A language you can present to the family. Safe, reliable, speedy, friendly, easy to talk to, it’s the language of choice for Apple’s platforms—iOS, macOS, watchOS, and tvOS. But open source Swift also runs on Linux as well as the server, and it's gaining ground in scientific computing and web apps. Swift for Windows is even in the works. You can build everything from mobile apps to games, web apps, frameworks, and beyond. So jump in and get started! What's so special about this book? If you've read a Head First book, you know what to expect—a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn Swift through a multisensory experience that engages your mind rather than a text-heavy approach that puts you to sleep.
    Anmerkung: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Azure Arc Enabled Kubernetes for Multicloud (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (33 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Getting an organization up to speed on a single cloud is a challenge, but mastering two or more cloud platforms is much more demanding. With Microsoft's Azure Arc, IT teams can deploy workloads and manage resources no matter where they exist. This report demonstrates how Azure Arc lets you extend the Azure control plane for Kubernetes across multiple clouds as well as on-premises deployments. Nine-time Microsoft MVP Steve Buchanan shows system administrators, cloud administrators, DevOps engineers, and site reliability engineers how to manage, secure, and govern Kubernetes clusters with Azure Arc. You'll discover why this multicloud platform is the ideal solution for working in today's increasingly hybrid computing world. Understand the new management challenges that multicloud brings Learn how Azure Arc drives consistent governance, security, and management across multicloud Gain valuable insights into Microsoft's Azure ARM control plane for Kubernetes Learn how Azure Arc manages Kubernetes clusters across on-premises and multiple cloud deployments Explore the GitOps technology pattern and operating model for cloud native applications and Kubernetes Use Azure Arc-enabled Kubernetes and GitOps to deploy configurations and applications to Kubernetes clusters
    Anmerkung: Online resource; Title from title page (viewed February 18, 2021) , Mode of access: World Wide Web.
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    Programming Android with Kotlin (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (325 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Android development is so vast that mastering this mobile operating system can seem daunting--particularly now that Kotlin has become the official Android development language. This book helps Android developers make the transition from Java to Kotlin and shows them how Kotlin provides a true advantage for gaining control over asynchronous computations. By focusing specifically on coroutines, a new asynchronous programming paradigm, this book describes how you can achieve structured concurrency with Kotlin. Authors Pierre-Oliver Laurence, Amanda Hinchman-Dominguez, and Mike Dunn provide implementations of the most common tasks in native Android development. The basics of the Kotlin language and the Android architecture Data transformations in Kotlin Android fundamentals in memory and threading Concurrency with coroutines Channels and flows Android profiling tools
    Anmerkung: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    Advancing into Analytics (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (234 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Data analytics may seem daunting, but if you’re familiar with Excel, you have a head start that can help you make the leap into analytics. Advancing into Analytics will lower your learning curve. Author George Mount, founder and CEO of Stringfest Analytics, clearly and gently guides intermediate Excel users to a solid understanding of analytics and the data stack. This book demonstrates key statistical concepts from spreadsheets and pivots your existing knowledge about data manipulation into R and Python programming. With this practical book at your side, you’ll learn how to: Explore a dataset for potential research questions to check assumptions and to build hypotheses Make compelling business recommendations using inferential statistics Load, view, and write datasets using R and Python Perform common data wrangling tasks such as sorting, filtering, and aggregating using R and Python Navigate and execute code in Jupyter notebooks Identify, install, and implement the most useful open source packages for your needs And more
    Anmerkung: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    Gatsby : The Definitive Guide (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Sprache: Englisch
    Seiten: 1 online resource (68 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Get the definitive guide on Gatsby, the JavaScript framework for building blazing-fast websites and applications. Used by Nike, Costa Coffee, and other companies worldwide, Gatsby is emerging as one of the key technologies in the Jamstack (JavaScript, APIs, and markup) ecosystem. With this comprehensive guide, you'll learn how to architect, build, and deploy Gatsby sites independently or with CMSs, commerce systems, and other data sources. Author Preston So begins by showing you how to set up a Gatsby site from scratch. From there, you'll learn ways to use Gatsby's declarative rendering and GraphQL API, build complex offline-enabled sites, and learn how to continuously deploy Gatsby sites on a variety of platforms, including Gatsby Cloud. Discover how Gatsby integrates with many data sources and plug-ins Set up, configure, and architect Gatsby sites using Gatsby's CLI, React, JSX, and GraphQL with high performance out of the box Build an independent Gatsby site based on Markdown and data- and content-driven Gatsby sites that integrate with CMSs and commerce platforms Deploy Gatsby sites on a variety of platforms with full CI/CD and test coverage, including Netlify, Vercel, and Gatsby Cloud
    Anmerkung: Online resource; Title from title page (viewed November 24, 2021) , Mode of access: World Wide Web.
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    Machine Learning for Financial Risk Management with Python (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (350 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and deep learning models for assessing financial risk. You'll learn how to compare results from ML models with results obtained by traditional financial risk models. Author Abdullah Karasan helps you explore the theory behind financial risk assessment before diving into the differences between traditional and ML models. Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Revisit and improve market risk models (VaR and expected shortfall) using machine learning techniques Develop a credit risk based on a clustering technique for risk bucketing, then apply Bayesian estimation, Markov chain, and other ML models Capture different aspects of liquidity with a Gaussian mixture model Use machine learning models for fraud detection Identify corporate risk using the stock price crash metric Explore a synthetic data generation process to employ in financial risk
    Anmerkung: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Trino : The Definitive Guide (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (308 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. With this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Trino. Initially developed by Facebook, open source Trino is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization. Get started: Explore Trino's use cases and learn about tools that will help you connect to Trino and query data Go deeper: Learn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more Put Trino in production: Secure Trino, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Trino
    Anmerkung: Online resource; Title from title page (viewed April 21, 2021) , Mode of access: World Wide Web.
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  • 91
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    Learning Tensorflow.js (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (300 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Combining the demand for AI with the ubiquity of JavaScript was inevitable. With Google's TensorFlow.js framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on, end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-ready deep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js and other tools Use resources to convert, train, and manage machine learning data Start building and training your own training models from scratch Learn how to create your own image classification models Examine transfer learning: retraining an advanced model to perform a new task
    Anmerkung: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Getting Started with InnerSource (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (21 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Welcome to InnerSource, the powerful movement for developing open source software within the walls of a single organization, where the "openness" of a project extends across teams inside the company. In this report, O’Reilly editor and author Andy Oram takes you inside InnerSource, first by reviewing the principles that make open source development successful, and then by describing how InnerSource has worked at PayPal, the leading Internet commerce facilitator. PayPal’s path to InnerSource involved a series of large-scale corporate decisions that included a conscious shift in tools and corporate culture. Through InnerSource, the company not only achieved faster development and better quality, but also created an environment of cross-team cooperation that encouraged programmers to contribute to any of PayPal’s development projects. You’ll learn specific advantages of the InnerSource strategy, including: Faster development: Programmers use unit tests, code coverage, and continuous integration to remove bugs at early stages Complete documentation: Code is documented better, both in-code comments and less formally on discussion lists Code reuse: Programmers across the organization understand the code and architecture of modules developed by other teams Cross-team collaboration: Contributions by members outside of the team are frictionless and rarely have to be rewritten Development with GitHub: GitHub maintains private repositories for in-house projects as well as public repositories for open source code
    Anmerkung: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 93
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    Take Control of Your M-Series Mac (2021)
    [Erscheinungsort nicht ermittelbar] : Take Control Books | Boston, MA : Safari
    Details
    ISBN: 9781954546028
    Sprache: Englisch
    Seiten: 1 online resource (86 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Make a smooth transition to Apple silicon Version 1.0.1, updated April 6, 2021 This book teaches you everything you need to know about hardware and related software changes in Apple’s new M1 Apple silicon Macs to make a transition from an Intel Mac, set up security with new options, create effective backups, and work with new options in recovery mode. Glenn Fleishman takes you through the details of how an M1-based Mac handles startup, battery management, and running iOS, iPadOS, and Windows apps. Covers the 2020 Apple M1 Macs: the Mac mini, MacBook Air, 13-inch MacBook Pro. Apple’s new Macs based on the M1 Apple silicon system-on-a-chip offer remarkable advances in performance, battery life, and memory utilization. With those improvements comes a host of changes in hardware, from how a Mac starts up to making backups of your computer to understanding fundamental aspects of system security. Take Control of Your M-Series Mac teaches you everything you need to know about these topics and much more. You’ll learn not just how to make a bootable clone of your Mac on an external drive, but whether it’s necessary with Big Sur and an M1 Mac. Find out how to make a clean transition from an Intel Mac, while taking advantage of installing and running iOS and iPadOS apps natively within macOS. You’ll also learn the early method of running Windows on an M1 Mac, with notions of what’s to come. If you’ve already bought an M1 Mac and want to get more out of it, or you’re considering a purchase and trying to understand what you need to know, Take Control of Your M-Series Mac will fit your needs. Future plans: This book will be updated as Apple releases updated features for existing M1 Macs and new Macs based on its M-series processors. Here’s what you will learn from this book: Get to know the M1 processor, and what’s so different about it Understand the limits of emulation Control how apps for Intel Macs and universal Intel/M1 apps launch on an M-series Mac Learn the complexities of backing up an M-series Mac Decide whether you need a bootable duplicate of your startup volume Maximize battery life and longevity Work with recoveryOS, a substantially different process with an M-series Mac Walk through a new process of reviving or restoring low-level firmware on a non-responsive Mac Manage system security when you need to work with kernel extensions Install and run iOS and iPadOS apps Learn the current limits of using Windows in macOS on an M1 system
    Anmerkung: Online resource; Title from title page (viewed April 6, 2021) , Mode of access: World Wide Web.
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    Mastering Apache Pulsar (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (31 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds. Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you'll learn Pulsar's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer. This book helps you: Understand how event streaming fits in the big data ecosystem Explore Pulsar producers, consumers, and readers for writing and reading events Build scalable data pipelines by connecting Pulsar with external systems Simplify event-streaming application building with Pulsar Functions Manage Pulsar to perform monitoring, tuning, and maintenance tasks Use Pulsar's operational measurements to secure a production cluster Process event streams using Flink and query event streams using Presto
    Anmerkung: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Managing and Recovering Microsoft 365 Data (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (28 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: With more employees working remotely today, Microsoft 365 has become a go-to solution for many companies. But protecting the data you create with this cloud-based software as a service (SaaS) is a shared responsibility: while Microsoft takes care of the underlying infrastructure, organizations are responsible for managing and protecting their own data. Microsoft 365 provides several options for backing up your data, but choosing the right solution can be difficult. In this short report, 19-time Microsoft MVP Brien Posey takes management-level users through potential data-loss threats, such as ransomware and employee mistakes. You'll then dive into the pros and cons of Microsoft's native data management tools and assess several options for architecting a Microsoft 365 backup strategy. Explore Microsoft 365 recovery tools, including their limitations Understand how Microsoft 365's shared responsibility model works Take a quick tour of Microsoft's native data management tools Learn about potential data-loss threats, including both external and internal risks Design a backup strategy for your data by determining which Microsoft 365 capabilities you need
    Anmerkung: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Take Control of Your Apple ID, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : Take Control Books | Boston, MA : Safari
    Details
    ISBN: 9781947282650
    Sprache: Englisch
    Seiten: 1 online resource (124 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Prevent (or solve) problems with your Apple ID! Version 2.0.2, updated April 6, 2021 This book covers everything someone needs to know about configuring an Apple ID account, interactions with iCloud-based services, and troubleshooting account access. Your Apple ID is much more than a simple username. It's a key that unlocks a long list of Apple products and services on any of numerous devices. iCloud uses an Apple ID, as does Apple Music; the App Store; the Music, TV, and Books apps; and more. An Apple ID protects your personal information, including email and iOS/iPadOS backups; helps you find a lost iPhone; and can even unlock your Mac. So it goes without saying that if something goes wrong with your Apple ID, you could be in for a world of hurt. Unfortunately, things go wrong with Apple IDs all the time. Fortunately, Glenn Fleishman, a veteran technology journalist and the author of Macworld's "Mac 911" column, is ready to help with expert advice on how to manage your Apple ID—including how to prevent, solve, or work around most common problems! In this book, Glenn answers questions like: What all is my Apple ID used for? How does my iCloud account relate to my Apple ID? What problems can two-factor authentication (2FA) solve, and how do I use it? Are there other mechanisms I can use to ensure that I can recover an Apple ID in the event of a problem? (Spoiler: yes!) What if I have a device that's too old to work with two-factor authentication? What should I do if I have two or more Apple IDs or iCloud accounts? Will I lose access to all my Apple media purchases if I move to another country? Can I share an Apple ID with someone else? What exactly should I do if I think someone is hacking my Apple ID account? How can I recover a forgotten Apple ID password? What steps should I take if Apple locks me out of my account? If I lose access to an email address associated with my Apple ID, what can I do? What Apple ID changes in iOS 14/iPadOS 14 and macOS 11 Big Sur do I need to know about? How does "Sign in with Apple" work? How can I use Family Sharing to share data and purchases within my family? What types of subscriptions can I manage with my Apple ID, and how? Which payment methods can I associate with my Apple ID, and how do I manage them? And that's just the beginning. Glenn has packed a remarkable amount of concise problem-solving information into this compact, 124-page book. Read it before you encounter Apple ID problems to minimize your r...
    Anmerkung: Online resource; Title from title page (viewed April 6, 2021) , Mode of access: World Wide Web.
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    Design Patterns for Cloud Native Applications (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (282 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will gain experience building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Sriskandarajah Suhothayan and Kasun Indrasiri highlight use cases that effectively demonstrate the challenges you could encounter at each step. Explore the issues you're likely to deal with when building highly scalable cloud native applications Learn design patterns for addressing these issues--and best practices to help you apply them Examine the tools and technologies essential for building cloud native systems Implement scalable cloud native applications that are manageable and maintainable Use patterns for building applications that are appropriate for specific use cases
    Anmerkung: Online resource; Title from title page (viewed May 21, 2021) , Mode of access: World Wide Web.
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    Automating the Modern Data Warehouse (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (64 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: The opportunity to modernize and improve the enterprise data warehouse is one of the best reasons for moving your application to the cloud. A data warehouse can access a greater diversity of use cases and practices than is possible in an existing environment. In this report, researcher and analyst Stephen Swoyer offers a comprehensive overview of the benefits and challenges of implementing a cloud-based data warehouse. Senior IT decision makers, chief data officers, and data professionals will learn about the shifts and new trends in the data management landscape. Explore ways to improve data management, build a data warehouse strategy, and learn how to modernize a data warehouse effectively. Understand how AI, machine learning, self-service data integration, and built-in developer-oriented services have transformed the data warehouse role Use data warehouses to work with cloud-based data lakes for end-to-end data management and data governance Explore how data warehouse platforms as a service (PaaS) pave the way to automation Migrate, manage, and secure a data warehouse in a hybrid or multicloud environment
    Anmerkung: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Hacking Kubernetes (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (55 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Running cloud native workloads on Kubernetes can be challenging: keeping them secure is even more so. Kubernetes' complexity offers malicious in-house users and external attackers alike a large assortment of attack vectors. Hacking Kubernetes reviews defaults and threat models and shows how to protect against attacks. Securing your workloads is both essential and urgent, so this invaluable hands-on guide is available to you in this early release edition before it's available to the general public. It covers topics critical for cloud native security, detailing how to: Run Kubernetes securely, on both a strategic and an operational level Exploit Kubernetes default configurations and defend against these kinds of attacks Review Kubernetes clusters for security weaknesses Securely run arbitrary and untrusted code Harden the Kubernetes setup to defend against any and all possible threats
    Anmerkung: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Practical Machine Learning for Computer Vision (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (140 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: By using machine learning models to extract information from images, organizations today are making breakthroughs in healthcare, manufacturing, retail, and other industries. This practical book shows ML engineers and data scientists how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow/Keras. This book also covers best practices to improve the operationalization of the models using end-to-end ML pipelines. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models
    Anmerkung: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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