Data-Intensive Text Processing with MapReduce
by Jimmy Lin, Chris Dyer
Publisher: Morgan & Claypool Publishers 2010
Number of pages: 175
This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader 'think in MapReduce', but also discusses limitations of the programming model as well.
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