Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark
Author:   K.G. Srinivasa ,  Anil Kumar Muppalla
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
ISBN:  

9783319383477


Pages:   304
Publication Date:   06 October 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark


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Author:   K.G. Srinivasa ,  Anil Kumar Muppalla
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.498kg
ISBN:  

9783319383477


ISBN 10:   3319383477
Pages:   304
Publication Date:   06 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: Programming Fundamentals of High Performance Distributed Computing.- Introduction.- Getting Started with Hadoop.- Getting Started with Spark.- Programming Internals of Scalding and Spark.- Part II: Case studies using Hadoop, Scalding and Spark.- Case Study I: Data Clustering using Scalding and Spark.- Case Study II: Data Classification using Scalding and Spark.- Case Study III: Regression Analysis using Scalding and Spark.- Case Study IV: Recommender System using Scalding and Spark.

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