03372nam 22006131 450 991045347890332120200520144314.01-78216-329-8(CKB)2550000001166108(OCoLC)864381816(CaPaEBR)ebrary10813439(SSID)ssj0001139411(PQKBManifestationID)11617390(PQKBTitleCode)TC0001139411(PQKBWorkID)11183592(PQKB)10980043(MiAaPQ)EBC1477486(CaSebORM)9781782163282(PPN)228045258(Au-PeEL)EBL1477486(CaPaEBR)ebr10813439(CaONFJC)MIL547856(EXLCZ)99255000000116610820131128d2013 uy 0engurcnu||||||||txtccrBig data analytics with R and Hadoop /Vignesh Prajapati1st editionBirmingham :Packt Publishing,2013.1 online resource (238 p.) Includes index.1-78216-328-X 1-306-16605-5 Includes bibliographical references and index.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. 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.Big dataData miningR (Computer program language)Electronic books.Big data.Data mining.R (Computer program language)519.502855133Prajapati Vignesh970916MiAaPQMiAaPQMiAaPQBOOK9910453478903321Big data analytics with R and Hadoop2206834UNINA