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Paperback Algorithmic Aspects of Parallel Data Processing Book

ISBN: 1680834061

ISBN13: 9781680834062

Algorithmic Aspects of Parallel Data Processing

The last decade has seen a huge and growing interest in processing large data sets on large distributed clusters. This trend began with the MapReduce framework, and has been widely adopted by several other systems, including PigLatin, Hive, Scope, Dremmel, Spark and Myria to name a few. While the applications of such systems are diverse (for example, machine learning, data analytics), most involve relatively standard data processing tasks like identifying...

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