Designing Data-Intensive Applications

Designing Data-Intensive Applications pdf epub mobi txt 電子書 下載2025

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.

出版者:O'Reilly Media
作者:Martin Kleppmann
出品人:
頁數:614
译者:
出版時間:2017-4-2
價格:USD 44.99
裝幀:Paperback
isbn號碼:9781449373320
叢書系列:
圖書標籤:
  • 分布式 
  • 大數據 
  • 係統設計 
  • 計算機 
  • architecture 
  • 架構 
  • data 
  • O'Reilly 
  •  
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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

具體描述

讀後感

評分

以前看过一些分布式系统相关的资料,比如《分布系统原理---刘杰》,还有一些关于HDFS、MapReduce、Google 三大经典论文之类的,也去官方看过一些开源项目(Hadoop、Zookeeper)的官方文档,总觉得分布式是很高深的理论知识。看到这本书后,发现它真的是深入浅出,对分布式原理的...  

評分

1.事务及隔离级别 1.1.Read Committed 定义 一个事务只能看到其它事务已经提交的修改,不能看到其它事务进行中产生的修改。 实现方法 对任一事务修改的数据,在事务提交前均同时记录新值和旧值。其它事务读到此数据时,使用旧值;本事务读取时,使用新值。 一致性缺陷:不可重复...  

評分

1.数据模型 从数据库的数据模型上,可以将数据库分为关系型、文档型以及图型数据库等。这三类数据库在形式和使用的场景上各有不同。 1.1.关系型 关系型模型基于集合论中的关系理论,将数据视为Tuple的集合。关系型在1970年被提出,人们一开始质疑这类技术是否能高效地实现,但...  

評分

版权归作者所有,任何形式转载请联系作者。 作者:荒城梦(来自豆瓣) 来源:https://www.douban.com/note/725242700/ 陆陆续续有几个月过去了,终于把这本“鸿篇巨制”读完了。本书在计算机类著作里并不算特别厚,说鸿篇巨制是因为随着越往后读越发觉得此书内容之广度与深度已...  

評分

用戶評價

评分

值得再讀一遍。分布式數據係統 真•big picture

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廣度有瞭,深度不夠,不過給齣瞭好多引用,夠看兩年...

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我靠,這本書實在太牛瞭。 趕緊讀!趕緊讀!趕緊讀!

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有理有據 令人信服

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隻看瞭免費的前四章,感覺都是常識啊

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