Designing Data-Intensive Applications

Designing Data-Intensive Applications pdf epub mobi txt 电子书 下载 2025

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.

出版者:O'Reilly Media
作者:Martin Kleppmann
出品人:
页数:614
译者:
出版时间:2017-4-2
价格:USD 44.99
装帧:Paperback
isbn号码:9781449373320
丛书系列:
图书标签:
  • 分布式 
  • 大数据 
  • 系统设计 
  • 计算机 
  • architecture 
  • 架构 
  • data 
  • O'Reilly 
  •  
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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

具体描述

读后感

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摘要,后面再读补总结。字数还说不能少于140 字[捂脸哭]简直了。 书中比较详细描述了数据库,从数据库衍生派生数据,批处理,流处理等衍生。主要是问题-思路-问题的方式,但其问题角度考虑极端,分布式也正是这些极端场景的发源地。对自己是一个比较全面的分布式认知,对于很多...

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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...  

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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...  

用户评价

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http://martin.kleppmann.com/

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广度有了,深度不够,不过给出了好多引用,够看两年...

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我靠,这本书实在太牛了。 赶紧读!赶紧读!赶紧读!

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挺适合准备系统设计面试的,twitter的pull, push模型,database sharding 和 replication都讲得比较清楚

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值得再读一遍。分布式数据系统 真•big picture

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