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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (Computer Communications and Networks)

K.G. Srinivasa, Anil Kumar Muppalla




[PDF.td35] Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (Computer Communications and Networks)

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 | #3017570 in Books |  2015-02-10 | Original language:English | PDF # 1 |  9.21 x.75 x6.14l,.0 | File type: PDF | 304 pages

||0 of 2 people found the following review helpful.| MAK Makes it Possible|By Customer|A normal book made to look the best ever thanks to the best ever co-author. The best there was, the best there is, the best there will be.

The codes are out of the world.|0 of 2 people found the following review helpful.| Five Stars|By RedPepper|Great and comprehensive. Must buy!From the Back Cover||This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies such as Hadoop, Scalding and Spark.|Comprehensive in scope, the book presents stat

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...

You easily download any file type for your gadget.Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark (Computer Communications and Networks)   |  K.G. Srinivasa, Anil Kumar Muppalla. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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