圖書標籤: 分布式 大數據 係統設計 計算機 architecture 架構 data O'Reilly
发表于2024-05-15
Designing Data-Intensive Applications pdf epub mobi txt 電子書 下載 2024
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
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.
我靠,這本書實在太牛瞭。 趕緊讀!趕緊讀!趕緊讀!
評分全麵、深入的大數據係統介紹,不但有how,還有why,建立技術全景。
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2019年讀完瞭2018年買的2017最佳本行業書籍…
評分介紹分布式的數據密集型應用的方方麵麵,脈絡清晰。正文之外,還有數以百計的引用。
本书开头提到“当今很多新型应用都属于数据密集型(data-intensive)而不是计算密集型(compute-intensive)” 当今机器学习越来越普及的情况下其实用户应用后面基础件层的compute-intensive应用越来越多了。“很可惜,让鄙人日常头秃都是 compute-intensive的,啥时候有一本De...
評分Martin Kleppmann 不仅是个牛逼的程序员,更是一个极富社会责任和人文关怀的牛逼程序员。而这是更难能可贵的。 习武之人讲究“习武先修德”。Martin Kleppmann 亦是如此。他用前十一章教会我们如何处理海量数据,用最后一章告诉我们如何正确使用数据。要保护用户隐私、要对自己...
評分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 relati...
評分Designing Data-Intensive Applications pdf epub mobi txt 電子書 下載 2024