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
發表於2025-03-22
Designing Data-Intensive Applications 2025 pdf epub mobi 電子書 下載
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 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...
評分這本書從數據的産生、傳輸、存儲、檢索、更新等方方麵麵,介紹瞭一個後颱係統使用到的種種存儲技術,包括瞭數據庫、緩存、檢索引擎、批處理、流處理。對於每一種技術,作者介紹瞭它們的基本原理、使用場景、優勢和不足,並附帶瞭大量的擴展閱讀書目。對於後颱開發、運維人員,...
評分圖書標籤: 分布式 大數據 係統設計 計算機 architecture 架構 data O'Reilly
好的不像樣子。理論的來龍去脈,講得非常清楚。大數據工程化必讀。
評分蠻好的,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
評分這本絕對是所有程序員都應該讀的書。當你自己設計過係統,做過設計分析取捨之後迴過頭來看這書的時候,會有一種醍醐灌頂的感覺。書裏很詳細很清楚的講瞭每種設計的來由和設計理念,很適閤用來梳理工作中的很多實踐。除瞭不是很喜歡最後一章,講瞭太多的廢話以外,前麵每章都值得仔細的閱讀和思考,最喜歡講數據存儲引擎,數據分片,Replication和一緻性的章節。多說一點,如果在準備麵試的話,這本書對system design的幫助實在是相當大。
評分好的不像樣子。理論的來龍去脈,講得非常清楚。大數據工程化必讀。
評分先讀的英文版,然後後麵比較難理解的部分中英文版本一起混著讀。翻譯版還是會有些影響理解的錯譯。
Designing Data-Intensive Applications 2025 pdf epub mobi 電子書 下載