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

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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.

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Detail Information

Series Title

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Call Number

004 SRI g

Publisher

: ., 2015

Collation

XVII, 304

Language

English

ISBN/ISSN

978-3-319-13496-3

Classification

004

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Computer

Specific Detail Info

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Statement of Responsibility

: K.G. Srinivasa , Anil Kumar Muppalla

Other Information

Cataloger

Khusnun

Source

-

Validator

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Digital Object Identifier (DOI)

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Journal Volume

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Journal Issue

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Subtitle

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