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MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems

Donald Miner, Adam Shook




[PDF.kf12] MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems

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 | #407278 in Books |  O'Reilly Media |  2012-12-22 |  2012-12-07 | Original language:English | PDF # 1 |  9.00 x.57 x7.00l,.88 | File type: PDF | 230 pages

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||16 of 18 people found the following review helpful.| Good introduction, but missing the depth|By Varun Sharma|The book gives a good introduction to MapReduce design patterns. But what i found really missing are good examples.
I had studied Jimmy Lin's book [...]before i read this which gives some really good examples of algorithm design. I was hoping to find something which focussed on how some of the design patterns can b|About the Author|
|Donald Miner serves as a Solutions Architect at EMC Greenplum, advising and helping customers implement and use Greenplum's big data systems. Prior to working with Greenplum, Dr. Miner architected several large-scale and mission-critical H

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 you...

You easily download any file type for your gadget.MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems   |  Donald Miner, Adam Shook. Just read it with an open mind because none of us really know.

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