Computer Communications and Networks: Case Studies with Hadoop, Scalding and Spark

Srinivasa, K.G.; Muppalla, Anil Kumar

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.

Details

Published by: Springer

Publication Date: 2015-03-09

Format: Hardcover

ISBN-13: 9783319134963

DOI: 10.1007/978-3-319-13497-0

Dimensions: 235cm x155cm

Pages: 304