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portada Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark
Type
Physical Book
Author
Publisher
Language
English
Pages
304
Format
Hardcover
Dimensions
23.4x15.6x1.9 cm
Weight
0.63 kg.
ISBN13
9783319134963
Edition No.
2015th
Categories

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

K. G. Srinivasa (Author) · Anil Kumar Muppalla (Author) · Springer · Hardcover

Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark - Srinivasa, K. G. ; Muppalla, Anil Kumar

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

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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