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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (in English)
K. G. Srinivasa
(Author)
·
Anil Kumar Muppalla
(Author)
·
Springer
· Hardcover
Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (in English) - Srinivasa, K. G. ; Muppalla, Anil Kumar
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Origin: United Kingdom
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Synopsis "Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (in English)"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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