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Big Data Analytics Hadoop by Prajapati Vignesh (17 results)
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.95.
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Big Data Analytics with R and Hadoop (Paperback or Softback)
Published by Packt Publishing 11/25/2013, 2013
ISBN 10: 178216328X ISBN 13: 9781782163282
Language: English
Paperback or Softback. Condition: New. Big Data Analytics with R and Hadoop 0.92. Book.
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Big Data Analytics with R and Hadoop
Published by Packt Publishing 2013-11, 2013
ISBN 10: 178216328X ISBN 13: 9781782163282
Language: English
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Big Data Analytics With R and Hadoop: Set Up an Integrated Infrastructure of R and Hadoop to Turn Your Data Analytics into Big Data Analytics
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Big Data Analytics With R and Hadoop : Set Up an Integrated Infrastructure of R and Hadoop to Turn Your Data Analytics into Big Data Analytics
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Big Data Analytics With R and Hadoop : Set Up an Integrated Infrastructure of R and Hadoop to Turn Your Data Analytics into Big Data Analytics
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Add to basketCondition: New. Über den AutorrnrnVignesh Prajapati, from India, is a Big Data enthusiast, a Pingax (www.pingax. com) consultant and a software professional at Enjay. He is an experienced ML Data engineer. He is experienced with Machine learning and Big Da.
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Big Data Analytics with R and Hadoop
Published by Packt Publishing Limited, 2013
ISBN 10: 178216328X ISBN 13: 9781782163282
Language: English
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R and Hadoop big data analytics combat(Chinese Edition)
ISBN 10: 7111483529 ISBN 13: 9787111483526
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Add to basketpaperback. Condition: New. Language:Chinese.R and Hadoop big data analytics combat.
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Big Data Analytics with R and Hadoop
Published by Packt Publishing Limited, 2013
ISBN 10: 178216328X ISBN 13: 9781782163282
Language: English
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Big Data Analytics with R and Hadoop
Published by Packt Publishing Limited, 2013
ISBN 10: 178216328X ISBN 13: 9781782163282
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 461.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential.About This Book Write Hadoop MapReduce within R Learn data analytics with R and the Hadoop platform Handle HDFS data within R Understand Hadoop streaming with R Encode and enrich datasets into R In Detail Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing. Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop. You will start with the installation and configuration of R and Hadoop. Next, you will discover information on various practical data analytics examples with R and Hadoop. Finally, you will learn how to import/export from various data sources to R. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming. What You Will Learn Integrate R and Hadoop via RHIPE, RHadoop, and Hadoop streaming Develop and run a MapReduce application that runs with R and Hadoop Handle HDFS data from within R using RHIPE and RHadoop Run Hadoop streaming and MapReduce with R Import and export from various data sources to R.
