Designing Data-Intensive Applications 2025 pdf epub mobi 电子书

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Designing Data-Intensive Applications 2025 pdf epub mobi 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.

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发表于2025-02-02

Designing Data-Intensive Applications 2025 pdf epub mobi 电子书

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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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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...

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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，...

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Martin Kleppmann 不仅是个牛逼的程序员，更是一个极富社会责任和人文关怀的牛逼程序员。而这是更难能可贵的。习武之人讲究“习武先修德”。Martin Kleppmann 亦是如此。他用前十一章教会我们如何处理海量数据，用最后一章告诉我们如何正确使用数据。要保护用户隐私、要对自己...

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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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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

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

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