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  • 1
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Web site development ; Application software Development ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for this edition of O'Reilly Book Club with Martin Kleppmann, author of Designing Data-Intensive Applications, to explore principles and best practices for developing distributed data systems. Learn tricks of the trade, listen to stories, and hear from other readers. What you'll learn and how you can apply it Make data systems scalable to support applications with a large user base Build applications that are reliable and operationally robust Develop systems that are easier to maintain and can adopt and grow with the changing technology landscape and requirements This recording of a live event is for you because... You want to go beyond the words on the page and hear from the author. You want to learn principles and best practices for designing distributed data systems. Recommended follow-up: Read Designing Data-Intensive Applications (book) Read Fundamentals of Data Engineering (book) Read Designing Distributed Systems (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 2
    ISBN: 9788383225418 , 8383225415
    Language: Polish
    Pages: 1 online resource (552 pages) , illustrations
    Edition: [First edition].
    Uniform Title: Designing data-intensive applications
    DDC: 005.3
    Keywords: Web site development ; Application software Development ; Database management
    Abstract: Przetwarzanie i bezpieczne przechowywanie danych absorbuje uwagę inżynierów oprogramowania w coraz większym stopniu. W ostatnich latach pojawiło się wiele bardzo różnych rozwiązań w dziedzinie baz danych, systemów rozproszonych i metodyce budowania aplikacji. Sprzyjają temu zarówno rozwój technologii, rosnące potrzeby dotyczące dostępu do danych, jak i malejąca tolerancja na przestoje spowodowane awarią czy konserwacją systemu. To wszystko sprawia, że zespoły projektujące aplikacje muszą cały czas aktualizować swoją wiedzę i znakomicie orientować się w zakresie słabych i silnych stron poszczególnych rozwiązań oraz możliwości ich stosowania. I właśnie ta książka Ci to ułatwi. Dzięki niej zaczniesz orientować się w świecie szybko zmieniających się technologii przetwarzania i przechowywania danych. Znajdziesz tu przykłady skutecznych systemów spełniających wymogi skalowalności, wydajności i niezawodności. Zapoznasz się z wewnętrznymi mechanizmami tych systemów, analizami najważniejszych algorytmów, omówieniem zasad działania i koniecznymi kompromisami. Przy okazji przyswoisz sobie przydatne sposoby myślenia o systemach danych. W ten sposób rozwiniesz dobre intuicyjne zrozumienie tego, jak i dlaczego działają systemy, co pozwoli Ci analizować ich pracę, podejmować trafne decyzje projektowe i wyszukiwać źródła pojawiających się problemów.
    Note: Includes bibliographical references and index
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  • 3
    Language: English
    Pages: 1 online resource (1 audio file (1 hr., 49 min.))
    Edition: [First edition].
    DDC: 808.02
    Keywords: Authorship ; Audiobooks
    Abstract: Look no further for the 2023 audio-only collection of O'Reilly Book Club interviews. Hear directly from our authors about their book writing processes and gain insight into how they've become the subject matter experts in their fields.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 7, 2023)
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  • 4
    Language: German
    Pages: 1 online resource (1 volume) , illustrations
    Edition: 1. Auflage.
    Keywords: Web site development ; Application software ; Development ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Daten stehen bei vielen Aufgaben des modernen Systemdesigns im Mittelpunkt. Dabei sind komplexe Fragen wie Skalierbarkeit, Konsistenz, Zuverlässigkeit, Effizienz und Wartbarkeit zu klären. Darüber hinaus gibt es eine unüberschaubare Werkzeugpalette, einschließlich relationaler Datenbanken, NoSQL-Datenspeicher, Stream- und Batchprocessing und Message Broker. Was bedeuten diese Schlagworte? Und was ist die richtige Wahl für Ihre Anwendung?Dieser praktische und umfassende Leitfaden hilft Ihnen, sich in diesem schwierigen Terrain zurechtzufinden, indem er die Vor- und Nachteile verschiedener Technologien zur Verarbeitung und Speicherung von Daten aufzeigt. Software verändert sich ständig, die Grundprinzipien bleiben aber gleich. Mit diesem Buch lernen Softwareentwickler und -architekten, wie sie die Konzepte in der Praxis umsetzen und wie sie Daten in modernen Anwendungen optimal nutzen können.
    Note: Originally published in English under title: Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems by O'Reilly Media, ©2017. Cf. Title page verso. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed February 11, 2019)
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  • 5
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Electronic data processing ; Big data ; Data processing ; Data mining ; SQL (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: How can event streams help make your application more scalable, reliable, and maintainable? In this report, O'Reilly author Martin Kleppmann shows you how stream processing can make your data storage and processing systems more flexible and less complex. Structuring data as a stream of events isn't new, but with the advent of open source projects such as Apache Kafka and Apache Samza, stream processing is finally coming of age. Using several case studies, Kleppmann explains how these projects can help you reorient your database architecture around streams and materialized views. The benefits of this approach include better data quality, faster queries through precomputed caches, and real-time user interfaces. Learn how to open up your data for richer analysis and make your applications more scalable and robust in the face of failures. Understand stream processing fundamentals and their similarities to event sourcing, CQRS, and complex event processing Learn how logs can make search indexes and caches easier to maintain Explore the integration of databases with event streams, using the new Bottled Water open source tool Turn your database architecture inside out by orienting it around streams and materialized views
    Note: Description based on online resource; title from title page (viewed January 10, 2019)
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  • 6
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Web site development ; Application software ; Development ; Database management ; Electronic books ; local ; Electronic books
    Abstract: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed March 24, 2017)
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  • 7
    ISBN: 9781663728289 , 1663728283
    Language: English
    Pages: 1 online resource (1 audio file (20 hr., 56 min.))
    Edition: [First edition].
    DDC: 005.7
    Keywords: Web site development ; Application software Development ; Database management ; Audiobooks
    Abstract: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 28, 2023)
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    Language: English , Polish
    Pages: 1 online resource (552 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Przetwarzanie i bezpieczne przechowywanie danych absorbuje uwagę inżynierów oprogramowania w coraz większym stopniu. W ostatnich latach pojawiło się wiele bardzo różnych rozwiązań w dziedzinie baz danych, systemów rozproszonych i metodyce budowania aplikacji. Sprzyjają temu zarówno rozwój technologii, rosnące potrzeby dotyczące dostępu do danych, jak i malejąca tolerancja na przestoje spowodowane awarią czy konserwacją systemu. To wszystko sprawia, że zespoły projektujące aplikacje muszą cały czas aktualizować swoją wiedzę i znakomicie orientować się w zakresie słabych i silnych stron poszczególnych rozwiązań oraz możliwości ich stosowania. I właśnie ta książka Ci to ułatwi. Dzięki niej zaczniesz orientować się w świecie szybko zmieniających się technologii przetwarzania i przechowywania danych. Znajdziesz tu przykłady skutecznych systemów spełniających wymogi skalowalności, wydajności i niezawodności. Zapoznasz się z wewnętrznymi mechanizmami tych systemów, analizami najważniejszych algorytmów, omówieniem zasad działania i koniecznymi kompromisami. Przy okazji przyswoisz sobie przydatne sposoby myślenia o systemach danych. W ten sposób rozwiniesz dobre intuicyjne zrozumienie tego, jak i dlaczego działają systemy, co pozwoli Ci analizować ich pracę, podejmować trafne decyzje projektowe i wyszukiwać źródła pojawiających się problemów. W tej książce między innymi: co to właściwie znaczy: niezawodność, skalowalność i łatwość konserwacji różne modele danych i obsługa zapytań replikacja, dzielenie danych, transakcje dane pochodne i ich przetwarzanie przetwarzanie strumieniowe Poznaj systemy, w których liczą się dane!
    Note: Online resource; Title from title page (viewed April 17, 2018) , Mode of access: World Wide Web.
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  • 9
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004/.36
    Keywords: Electronic data processing Distributed processing ; Computer networks ; Computer science ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Scaling a distributed system naturally involves adding multiple independently moving parts. We run our software components on multiple machines and our databases across multiple storage nodes, all in the quest to add more processing capacity--meaning solutions are distributed across multiple machines in multiple locations, with each machine processing events concurrently and exchanging messages over a network. This fundamental nature of distributed systems has some profound implications for the way we design, build, and operate our solutions. If you need to manage the complexity that comes with distributed systems, these sessions will help you tackle some of the unique challenges of production with multiple moving parts. About the Infrastructure & Ops Superstream Series: This four-part Superstream series guides you through what you need to know about modernizing your organization's infrastructure and operations, with each event day covering different topics and lasting no more than four hours. They're packed with the expert insights, skills, and tools that will help you effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures--with no interruption to your business. What you'll learn and how you can apply it See how distributed systems can deliver more value if they operate correctly Explore best practices for communication between distributed systems Understand what distributed systems mean for your company's data Learn how to secure distributed systems This recording of a live event is for you because... You're an engineer who wants to learn more about the challenges of working with distributed systems and find out how to address them. You want to learn how to secure distributed systems. You want to know what the future holds for distributed systems and infrastructure and operations. Recommended follow-up: Read Designing Distributed Systems (book) Read Distributed Systems Observability (report) Watch Distributed Systems in One Lesson (video) Read Distributed Tracing in Practice (book) Take Design Patterns for Distributed Systems (live online training course with Priyank Gupta).
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 10
    ISBN: 9784873118703
    Language: English , Japanese
    Pages: 1 online resource (660 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: 現代の分散システム設計においてデータの扱いは重要な課題です。本書は、データを処理し、保存するさまざまなテクノロジーの特性を詳述することで、ツールの長所と短所を理解し、システムの課題と使用するアプリケーションに適した選択肢の発見を助けます。本書では、データの量や複雑さ、変化が課題となるアプリケーションを「データ指向」と名づけ、データ指向アプリケーションの設計を支える基本的な概念を解説します。そしてレプリケーション、パーティション、トランザクションなど分散データベースについて扱い、さらにバッチ処理、ストリーム処理など、データセットの取り出しや結合について解説します。
    Note: Online resource; Title from title page (viewed July 17, 2019) , Mode of access: World Wide Web.
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