Name: Mapreduce Design Patterns
Price: 1425.00 TWD
Availability: InStock
Author: Donald Miner; Adam Shook
ISBN: 9781449327170

Type

Physical Book

Publisher

O'reilly Vlg. Gmbh & Co.

Author

Donald Miner; Adam Shook

Year

2012

Language

English

Pages

249

Format

Paperback

ISBN

1449327176

ISBN13

9781449327170

Edition No.

Synopsis "Mapreduce Design Patterns "

Until now, design patterns for the MapReduce framework 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 to help you avoid 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. All code examples are written for Hadoop.Summarization patterns: get a top-level view by summarizing and grouping dataFiltering patterns: view data subsets such as records generated from one userData organization patterns: reorganize data to work with other systems, or to make MapReduce analysis easierJoin patterns: analyze different datasets together to discover interesting relationshipsMetapatterns: piece together several patterns to solve multi-stage problems, or to perform several analytics in the same jobInput and output patterns: customize the way you use Hadoop to load or store data"A clear exposition of MapReduce programs for common data processing patterns—this book is indespensible for anyone using Hadoop."--Tom White, author of Hadoop: The Definitive Guide

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Mapreduce Design Patterns - Donald Miner; Adam Shook

Synopsis "Mapreduce Design Patterns "

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