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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer networking & communications Distributed systems

• Full title: Guide to High Performance Distributed Computing
• Subtitle: Case Studies with Hadoop, Scalding and Spark
• Author: K. G. Srinivasa, Anil Kumar Muppalla
• Language: English
• Binding: Hardback
• Number of pages: 304
• EAN: 9783319134963
• ISBN: 3319134965
• ID: 09038600
• Publisher: Springer International Publishing AG
• Weight: 632 g
• Dimensions: 247 × 166 × 23 mm
• Date of publishing: 10. February 2015

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