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i Data-Intensive Text Processing with MapReduce

IData-Intensive Text Processingwith MapReduceJimmy Lin and Chris DyerUniversity of Maryland, College ParkManuscript prepared April 11, 2010 This is the pre-production manuscript of a book in the Morgan & Claypool SynthesisLectures on Human Language Technologies. Anticipated publication date is .. ii1 introduction .. in the Clouds .. Ideas .. Is This Different? .. This Book Is Not .. 172 MapReduce Basics .. Programming Roots .. and Reducers .. Execution Framework .. and Combiners .. Distributed File System .. Cluster Architecture .. 383 MapReduce Algorithm Design .. Aggregation .. Combiners and In-Mapper Algorithmic Correctness with Local and Stripes.

Introduction MapReduce [45] is a programming model for expressing distributed computations on massive amounts of data and an execution framework for large-scale data processing on clusters of commodity servers. It was originally developed by Google and built on well-known principles in parallel and distributed processing dating back several ...

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