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.
发表于2024-12-22
Designing Data-Intensive Applications 2024 pdf epub mobi 电子书
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...
评分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...
评分版权归作者所有,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...
评分 评分本书开头提到“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...
图书标签: 分布式 大数据 系统设计 计算机 architecture 架构 data O'Reilly
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
值得再读一遍。分布式数据系统 真•big picture
评分值得再读一遍。分布式数据系统 真•big picture
评分介绍分布式的数据密集型应用的方方面面,脉络清晰。正文之外,还有数以百计的引用。
评分好的不像样子。理论的来龙去脉,讲得非常清楚。大数据工程化必读。
评分2019年读完了2018年买的2017最佳本行业书籍…
Designing Data-Intensive Applications 2024 pdf epub mobi 电子书