Guide to High Performance Distributed Computing

Provides a guide to the distributed computing technologies of Hadoop and Spark, from the perspective of industry practitioners Supports the theory with case studies taken from a range of disciplines, including data mining, machine learning, graph processing and image processing Supplies working source code to aid understanding through step-by-step implementation Includes supplementary material: sn.pub/extras

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Guide to High Performance Distributed Computing Muppalla, Anil Kumar, Srinivasa, K. G.

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