大数据
Big Data
Nathan Marz · 初版 2015 年
7人推荐
10位读者提及
11次提及
为什么值得读
- 概念章节水平极高，深刻阐述数据架构
- 讲解如何基于 Hadoop/HBase 动手实现数据库
- 兼顾广度与实用性，为系统设计提供启发
社交网络、实时分析或电子商务网站等网络规模的应用要处理大量数据，其数据量和速度超出了传统数据库系统的极限。这些应用需要围绕机器集群构建的架构，以存储和处理任意规模或速度的数据。幸运的是，规模与简洁并不互相排斥。《Big Data》教你使用专为捕获和分析网络规模数据而设计的架构来构建大数据系统。本书介绍了 Lambda 架构，这是一种可扩展、易于理解的方法，能够……
Hacker News 上怎么说
正在加载完整评论……
Nathan Marz 的《Big Data》是一本 Manning 早期访问版的书（也就是说还没完全写完），讲的是如何在 Hadoop/HBase 上自己动手打造一个定制版的 Datomic 风格数据库。考虑到你目前的情况，你可能会感兴趣……
Big Data by Nathan Marz is a Manning Early Acces book (i.e. not fully written yet) that explains how to hand-roll your own custom Datomic style DB in Hadoop/HBase. It might be of interest to you given your current…
两本神书：- Paul Chiusano 和 Rúnar Bjarnason 写的《Scala 函数式编程》 - Nathan Marz 和 James Warren 写的《大数据：可扩展实时数据系统的大数据原则与最佳实践》
Two great books: - "Functional Programming in Scala" by Paul Chiusano and Rúnar Bjarnason - "Big Data: Principles and best practices of scalable realtime data systems" by Nathan Marz and James Warren
……这个（免费）：http://book.mixu.net/distsys/single-page.html 再花点钱读读这本：http://www.amazon.com/Designing-Data-Intensive-Applications-... 还有这本：http://www.amazon.com/Big-Data-Principles-practices-scalable... Nathan Marz 把 Apache Storm 带给了世界，Martin Kleppmann 也因在 Kafka 上的工作而相当有名。这两本都是关于构建可扩展数据处理的好书……
…this (for free): http://book.mixu.net/distsys/single-page.html And pay a little to read this book: http://www.amazon.com/Designing-Data-Intensive-Applications-... And this one: http://www.amazon.com/Big-Data-Principles-practices-scalable... Nathan Marz brought Apache Storm to the world, and Martin Kleppmann is pretty well known for his work on Kafka. Both are very good books on building scalable data processing…
说到大数据，Nathan Marz 的《Big Data》是一本极好的读物。概念章节是一流的，实现章节则让你很好地了解该书出版时这个领域所用的工具。
For big data, 'Big Data' by Nathan Marz was an excellent read. The conceptual chapters are top notch, and the implementation chapters give you a good look into the tools used for the field at the time of publishing.
……或者操纵是你系统的核心（现在哪个现代应用不是呢），我觉得至少浏览一遍是必要的。它更偏广度而非深度，但比你预想的要深入。《大数据》（Big Data）作者 Nathan Marz，对我最终设计的系统起到了奠基作用，用处因人而异。它描述了一种用于灵活、高吞吐量数据应用的特定架构。他有一个新框架（？）……
…or manipulation is central to your systems (and what modern app isn't), I'd say it's essential to at least skim through. It's more of a breadth than depth book, but it goes deeper than you'd expect. "Big Data" by Nathan Marz was foundational to the system I ended up designing, usefulness may vary. It describes a specific architecture for a flexible and high throughput data-based application. He has a new framework(?)…
以下是我的一些建议，尽量挑了有望经受时间考验的书，每个主要出版社一本：- Nathan Marz（Backtype/Twitter/Storm 的名人）的《Big Data》（Manning）：别让“Big Data”这个名字让你觉得这只适合有大数据需求的人，实际上 Nathan Marz 是在尝试重新思考我们存储数据的方式。不可变、只追加的主数据集和视图……
Here are a few suggestions by me, tried to pick items that will hopefully stand the test of time, one per major publisher: - Nathan Marz' (of Backtype/Twitter/Storm fame) Big Data (Manning): Don't let the name Big Data make you feel this is only for people with big data needs, in fact Nathan Marz tries to rethink how we store data. Immutable, append-only master data sets and views…