Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann

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Описание

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann купить Украина книга

nИздательство — O’Reilly Media
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nЯзык — Английский
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nОбложка — Мягкая
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nГод издания — 2017
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nКоличество страниц — 614
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nISBN — 978-1449373320
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nБумага — белая, офсетная
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О книге Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann

nData 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,
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nNoSQL
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ndatastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
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nIn this practical and comprehensive guide, author
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nMartin Kleppmann
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nhelps 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.
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nPeer under the hood of the systems you already use, and learn how to use and operate them more effectively
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nMake informed decisions by identifying the strengths and weaknesses of different tools
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nNavigate the trade-offs around consistency, scalability, fault tolerance, and complexity
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nUnderstand the distributed systems research upon which modern databases are built
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nPeek behind the scenes of major online services, and learn from their architectures
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