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

Anil Kumar Muppalla, K. G. Srinivasa

ISBN 10: 3319134965 / ISBN 13: 9783319134963

Edité par Springer International Publishing, 2015

A propos de cet article

Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 25179399/12

Détails bibliographiques

• Titre: Guide to High Performance Distributed Computing : Case Studies with Hadoop, Scalding and Spark
• Éditeur: Springer International Publishing
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 3319134965
• ISBN à 13 chiffres: 9783319134963
• Reliure: Couverture rigide
• État de l'article: Sehr gut

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.