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Guide to High Performance Distributed Computing

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Guide to High Performance Distributed Computing

Case Studies with Hadoop, Scalding and Spark
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Description

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 systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.
Release date Australia
October 6th, 2016
Pages
304
Edition
Softcover reprint of the original 1st ed. 2015
Audience
  • Professional & Vocational
Illustrations
43 Illustrations, black and white; XVII, 304 p. 43 illus.
Dimensions
155x235x17
ISBN-13
9783319383477
Product ID
26187418

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