《MapReduceDesignPatterns》是2012年O'ReillyMedia出版社出版的圖書，作者是Miner，Donald;Shook，Adam。
基本介紹
- 書名：MapReduce Design Patterns
- 又名：Building Effective Algorithms and Analytics for Hadoop and Other Systems
- 作者：Miner, Donald; Shook, Adam
- 頁數：256
- 出版社：O'Reilly Media
- 出版時間：2012-12
基本信息,內容簡介,
基本信息
副標題: Building Effective Algorithms and Analytics for Hadoop and Other Systems
作者: Miner, Donald; Shook, Adam;
出版社: O'Reilly Media
出版年: 2012-12
頁數: 256
定價: $ 50.84
內容簡介
Design patterns for the MapReduce framework, until now, have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you're using. （原文）
Each pattern is explained in context, with pitfalls and caveats clearly identified - so you can avoid some of the common design mistakes when modeling your Big Data architecture. This book also provides a complete overview of MapReduce that explains its origins and implementations, and why design patterns are so important. Hadoop MapReduce code is provided to help you learn how to apply the design patterns by example.（原文）
