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

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9789352135240
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    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

     

    Books
    Author
    Martin Kleppmann
    Binding
    Paperback
    Condition Type
    New
    Country Origin
    India
    Edition
    First
    Gift Wrap
    No
    Leadtime to ship in days (default)
    Ships in 1-2 days
    Pages
    616
    Publisher
    Shroff/O'Reilly
    Year
    2017
    Dimensions
    Dimensions (W x H x D)
    7 x 9 x 1.2 inch

    Table of Contents (9789352135240_toc.pdf, 271 Kb) [Download]

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