MapReduce Design Patterns 在線電子書 圖書標籤: MapReduce 大數據 O'Reilly 數據挖掘 計算機科學 Patterns Design 計算機
發表於2024-12-22
MapReduce Design Patterns 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024
還算有點實用,不過隨著pig的成熟,很多東東其實不需要瞭解瞭
評分太淺
評分作者也是屌。幾道MR例題也能齣本書。
評分大概13年的時候讀過這本書,當時覺得覺得收獲非常大,基本覆蓋瞭用mr處理數據的常用方法,不過現在看開用hive就夠瞭。
評分入門瞭,略拖遝。
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. 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. Topics include: Basic patterns, including map-only filter, group by, aggregation, distinct, and limit Joins: traditional reduce-side join, reduce-side join with Bloom filter, replicated join with distributed cache, merge join, Cartesian products, and intersections Binning, sharding for other systems, sorting, sampling, unions, and other patterns for organizing data Job optimization patterns, including multi-job map-only job folding, and overloading the key grouping to perform two jobs at once
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MapReduce Design Patterns 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024