MapReduce Design Patterns pdf epub mobi txt 電子書 下載2025
- MapReduce
- 大數據
- O'Reilly
- 數據挖掘
- 計算機科學
- Patterns
- Design
- 計算機
- MapReduce
- 設計模式
- 分布式係統
- 大數據
- 編程
- 並發
- 算法
- 雲計算
- 數據處理
- 係統架構
具體描述
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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如何編寫一個真正的不依賴於in-memory sort的find median算法？單機版本的max-N都已經是O(N)的瞭，Hadoop版本的（作者這裏描述的）就有點弱瞭
评分如何編寫一個真正的不依賴於in-memory sort的find median算法？單機版本的max-N都已經是O(N)的瞭，Hadoop版本的（作者這裏描述的）就有點弱瞭
评分一般吧，有些可以藉鑒的東西，看分析算法這東西和係統設計不一樣，不太好有個design pattern，所以也隻是參考
评分就告訴你如何用MR實現SQL中的JOIN、聚閤函數等
评分找到瞭...
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