Guide to High Performance Distributed Computing

Case Studies with Hadoop, Scalding and Spark

von K.G. Srinivasa, Anil Kumar Muppalla

304 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Computer Communications and Networks
• ISBN: 9783319383477
• Sprache: Englisch
• Erscheinungsdatum: 06.10.2016
• Genre: Informatik, EDV/Datenkommunikation, Netzwerke
• Verlag: Springer International Publishing