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Guide to High Performance Distributed Computing

Case Studies with Hadoop, Scalding and Spark

Produktform: Buch / Einband - flex.(Paperback)

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-319-38347-7 / 978-3319383477 / 9783319383477

Verlag: Springer International Publishing

Erscheinungsdatum: 06.10.2016

Seiten: 304

Auflage: 1

Autor(en): K.G. Srinivasa, Anil Kumar Muppalla

53,49 € inkl. MwSt.
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