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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark by K.G. Srinivasa, Anil Kumar Muppalla (Hardcover, 2015)

About this product

About this product

Product Information

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.

Product Identifiers

Publisher
Springer International Publishing Ag
ISBN-13
9783319134963
eBay Product ID (ePID)
209127590

Product Key Features

Author
K.G. Srinivasa, Anil Kumar Muppalla
Publication Name
Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark
Format
Hardcover
Language
English
Subject
Computer Science
Publication Year
2015
Type
Textbook
Number of Pages
304 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Item Weight
6092g

Additional Product Features

Title_Author
K.G. Srinivasa, Anil Kumar Muppalla
Series Title
Computer Communications and Networks
Country/Region of Manufacture
Switzerland

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