Designing Data-Intensive Applications 在線電子書 圖書標籤: 分布式 大數據 係統設計 計算機 architecture 架構 data O'Reilly
發表於2025-02-16
Designing Data-Intensive Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025
蠻好的,大數據、分布式係統的基礎書,都琢磨透瞭架構師妥妥的 綫性一緻性這章需要深入研究一下。 準備再讀一遍
評分廣度有瞭,深度不夠,不過給齣瞭好多引用,夠看兩年...
評分值得再讀一遍。分布式數據係統 真•big picture
評分2019年讀完瞭2018年買的2017最佳本行業書籍…
評分挺適閤準備係統設計麵試的,twitter的pull, push模型,database sharding 和 replication都講得比較清楚
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.
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
作者的态度与高度于书的结尾再见一斑。 “As software and data are having such a large impact on the world, we engineers must remember that we carry a responsibility to work toward the kind of world that we want to live in: a world that treats people with huma...
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https://github.com/Vonng/db ==========================================================================================================================================================
評分https://github.com/Vonng/db ==========================================================================================================================================================
評分Designing Data-Intensive Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025