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

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

作者:MartinKleppmann

出版社:O'ReillyMedia

副标题:TheBigIdeasBehindReliable,Scalable,andMaintainableSystems

出版年:2017-4-2

页数:614

定价:USD44.99

装帧:Paperback

ISBN:9781449373320

内容简介
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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

作者简介
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Martin is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes.

Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software.

评论 ······

里面讲的比较好的章节有:
第三章(讲了两大存储结构,LSM-tree和b-tree,LSM-tree的例子非常好)
第七章(讲了事务隔离级别的实际实现,比如RC隔离级别是如何实现的)
第九章(讲了分布式数据库实现协同和事务的实现机制)

值得再读一遍。分布式数据系统 真•big picture

单机靠数据结构,集群靠副本分区,过去靠批处理,现在靠流处理

主要看了前两部分,我觉得是最好的数据库/分布式存储的入门扫盲书,每章后面引用的paper可以让你更深入。

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