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100   $a20131128d2013      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt
182   $cc
183   $acr
200 10$aBig data analytics with R and Hadoop /$fVignesh Prajapati
205   $a1st edition
210  1$aBirmingham :$cPackt Publishing,$d2013.
215   $a1 online resource (238 p.) 
300   $aIncludes index.
311   $a1-78216-328-X 
311   $a1-306-16605-5 
320   $aIncludes bibliographical references and index.
330   $aIf 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. 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.
606   $aBig data
606   $aData mining
606   $aR (Computer program language)
608   $aElectronic books.
615  0$aBig data.
615  0$aData mining.
615  0$aR (Computer program language)
676   $a519.502855133
700   $aPrajapati$b Vignesh$0970916
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910453478903321
996   $aBig data analytics with R and Hadoop$92206834
997   $aUNINA