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


Designing Data-Intensive Applications

简体网页||繁体网页
Martin Kleppmann 作者
O'Reilly Media
译者
2017-4-2 出版日期
614 页数
USD 44.99 价格
Paperback
丛书系列
9781449373320 图书编码

Designing Data-Intensive Applications 在线电子书 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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发表于2025-03-31


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

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

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



Designing Data-Intensive Applications 在线电子书 用户评价

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对大数据系统有了一个整体的认识,以后遇到问题之前能知道解决方向。

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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。

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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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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。

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这本绝对是所有程序员都应该读的书。当你自己设计过系统,做过设计分析取舍之后回过头来看这书的时候,会有一种醍醐灌顶的感觉。书里很详细很清楚的讲了每种设计的来由和设计理念,很适合用来梳理工作中的很多实践。除了不是很喜欢最后一章,讲了太多的废话以外,前面每章都值得仔细的阅读和思考,最喜欢讲数据存储引擎,数据分片,Replication和一致性的章节。多说一点,如果在准备面试的话,这本书对system design的帮助实在是相当大。

Designing Data-Intensive Applications 在线电子书 著者简介

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.


Designing Data-Intensive Applications 在线电子书 图书目录


Designing Data-Intensive Applications 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Designing Data-Intensive Applications 在线电子书 图书描述

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

Designing Data-Intensive Applications 在线电子书 下载 mobi epub pdf txt 在线电子书下载

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Designing Data-Intensive Applications 在线电子书 读后感

评分

1.事务及隔离级别 1.1.Read Committed 定义 一个事务只能看到其它事务已经提交的修改,不能看到其它事务进行中产生的修改。 实现方法 对任一事务修改的数据,在事务提交前均同时记录新值和旧值。其它事务读到此数据时,使用旧值;本事务读取时,使用新值。 一致性缺陷:不可重复...  

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订正Replication一章的错误,包括consistency prefix reads和“happens-before”的定义。以下均为个人意见,可能有错。 1. Consistency Prefix Reads The book definition of consistent prefix reads is not clear. In one place the book defines consistent prefix reads as...  

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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...  

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每一个数据工程师和产品经理都应该把最后一节,Doing the right thing,读十遍。 为了说服大家为什么值得读十遍,我摘抄几句: automated systems can systematically and arbitrarily exclude a person from participating in society without any proof of guilt, and with l...  

评分

1.事务及隔离级别 1.1.Read Committed 定义 一个事务只能看到其它事务已经提交的修改,不能看到其它事务进行中产生的修改。 实现方法 对任一事务修改的数据,在事务提交前均同时记录新值和旧值。其它事务读到此数据时,使用旧值;本事务读取时,使用新值。 一致性缺陷:不可重复...  

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