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

 
9781449373320: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Synopsis

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

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Book Description

The big ideas behind reliable, scalable and maintainable systems

About the Author

Martin Kleppmann is a software engineer and entrepreneur. He has co-founded two startups including Rapportive, which was acquired by LinkedIn. At these companies he worked on various data infrastructure systems, and learnt a few things the hard way. He hopes that this book will save you from repeating the same mistakes.

Martin enjoys figuring out complex problems and breaking them down, making them simple and accessible. He does this in his conference talks, on his blog at http://martin.kleppmann.com and by contributing to open source projects such as Apache Samza. You can find him as @martinkl on Twitter.

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  • PublisherO'Reilly Media
  • Publication date2017
  • ISBN 10 1449373321
  • ISBN 13 9781449373320
  • BindingPaperback
  • LanguageEnglish
  • Number of pages614

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