Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark

by Anil Kumar Muppalla and K.G. Srinivasa

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Book Overview

This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software...

Format:Paperback

Language:English

ISBN:3319383477

ISBN13:9783319383477

Release Date:October 2016

Publisher:Springer

Length:304 Pages

Weight:1.00 lbs.

Dimensions:0.7" x 6.1" x 9.2"

Related Subjects

Computers Computers & Technology

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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark

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