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Using R to unlock the value of big data big data analytics with Oracle R Enterprise and Oracle R Connector for Hadoop

The Oracle Press Guide to Big Data Analytics using R Cowritten by members of the Big Data team at Oracle, this Oracle Press book focuses on analyzing data with R while making it scalable using Oracle's R technologies. Using R to Unlock the Value of Big Data provides an introduction to open sour...

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Bibliographic Details
Main Author: Hornick, Mark F.
Other Authors: Plunkett, Tom
Format: eBook
Language:English
Published: New York McGraw Hill Education 2013
Subjects:
Electronic Data Processing / Fast
Data Mining / Fast
R (langage De Programmation)
Data Mining
Big Data / Fast
Big Data / Http://id.loc.gov/authorities/subjects/sh2012003227
R (computer Program Language) / Fast
Données Volumineuses
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Electronic Data Processing / Http://id.loc.gov/authorities/subjects/sh85042288
R (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh2002004407
Exploration De Données (informatique)
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:The Oracle Press Guide to Big Data Analytics using R Cowritten by members of the Big Data team at Oracle, this Oracle Press book focuses on analyzing data with R while making it scalable using Oracle's R technologies. Using R to Unlock the Value of Big Data provides an introduction to open source R and describes issues with traditional R and database interaction. The book then offers in-depth coverage of Oracle's strategic R offerings: Oracle R Enterprise, Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop. You can practice your new skills using the end-of-chapter exercises
Physical Description:1 volume illustrations
ISBN:9780071826273

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