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2024-05-20
Designing Data-Intensive Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024
我靠,這本書實在太牛瞭。 趕緊讀!趕緊讀!趕緊讀!
評分有理有據 令人信服
評分結構很好的一本書。能把一些聽起來玄乎的概念(特彆是一些翻譯成中文後,更加讓人睏惑的東西)講得比較清楚,這大概和作者的日常知識積纍是分不開的吧。
評分對大數據係統有瞭一個整體的認識,以後遇到問題之前能知道解決方嚮。
評分2019年讀完瞭2018年買的2017最佳本行業書籍…
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
大概十一放假开始读这本书,中间经历了加班,双十一值班,自己病假,老婆生病请病假,娃生病请病假,断断续续到现在终于算是从头到尾看了一遍,实在是觉得不容易。 这本书的作者是少有的从工业界干到学术界的牛人,知识面广得惊人,也善于举一反三,知识之间互相关联,比如有...
評分 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...
評分这本书从数据的产生、传输、存储、检索、更新等方方面面,介绍了一个后台系统使用到的种种存储技术,包括了数据库、缓存、检索引擎、批处理、流处理。对于每一种技术,作者介绍了它们的基本原理、使用场景、优势和不足,并附带了大量的扩展阅读书目。对于后台开发、运维人员,...
Designing Data-Intensive Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024