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Guide To High Performance Distributed Computing
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PRODUCT INFORMATION

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    Specifications

    Category Type
    Computer Sciences
    ISBN
    9783319134963.0
    Item EAN
    2724330360037
    People
    Author
    K.G. Srinivasa 
    People
    Publisher
    Springer
    Category Type
    Computer Sciences
    ISBN
    9783319134963.0
    Item EAN
    2724330360037
    People
    Author
    K.G. Srinivasa 
    People
    Publisher
    Springer
    Languages and countries
    Book Language
    English
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    Description:

    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

    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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