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Learning Spark: Lightning-Fast Big Data Analysis

Author(s) Name:  Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia
About the Book:

This book introduces Spark, an open source cluster computing system that makes data analytics fast to run and fast to write. The readers can learn how to run programs faster, using primitives for in-memory cluster computing. The book will equip the readers with capabilities such as collect, count, reduce, and save Use one programming paradigm instead of mixing and matching tools such as Hive, Hadoop, Mahout, and S4/Storm Learn how to run interactive, iterative, and incremental analyses Integrate with Scala to manipulate distributed datasets like local collections Tackle partitioning issues, data locality, default hash partitioning, user-defined partitioners, and custom serialization Use other languages by means of pipe() to achieve the equivalent of Hadoop streaming

ISBN:   9781449358624
Publisher:  O‚ÄôReilly Media
Year of Publication:  2015
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