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