Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (Computer Communications and Networks)

Srinivasa, K.G., Muppalla, Anil Kumar

ISBN 10: 3319134965 / ISBN 13: 9783319134963

Edité par Springer, 2015

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Like New. N° de réf. du vendeur ERICA79733191349656

Détails bibliographiques

Titre : Guide to High Performance Distributed ...

Éditeur : Springer

Date d'édition : 2015

Reliure : Hardcover

Etat : Like New

Type de livre : book

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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.