Guide to High Performance Distributed Computing: Case Studies With Hadoop, Scalding and Spark

Srinivasa, K. G./ Muppalla, Anil Kumar

ISBN 10: 3319383477 / ISBN 13: 9783319383477

Edité par Springer-Verlag New York Inc, 2016

A propos de cet article

reprint edition. 324 pages. 9.25x6.10x0.73 inches. In Stock.

N° de réf. du vendeur 3319383477

Détails bibliographiques

• Titre: Guide to High Performance Distributed Computing: Case Studies With Hadoop, Scalding and Spark
• Éditeur: Springer-Verlag New York Inc
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 3319383477
• ISBN à 13 chiffres: 9783319383477
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

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.