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Designing Data-Intensive Applications (Paperback)
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Designing Data-Intensive Applications (Paperback)
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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 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 architecture
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