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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

Mark Hornick Tom Plunkett

$66.95   $60.68

Paperback

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English
McGraw-Hill Inc.,US
27 June 2013
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.

By:   ,
Imprint:   McGraw-Hill Inc.,US
Country of Publication:   United States
Dimensions:   Height: 305mm,  Width: 216mm,  Spine: 8mm
Weight:   5g
ISBN:   9780071824385
ISBN 10:   0071824383
Pages:   77
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Tom Plunkett is a senior solution consultant with Oracle. Tom is a published author and has taught graduate-level computer science courses for Virginia Techs computer science department. Tom frequently speaks at conferences, including the Air Force Information Technology Conference, Armed Forces Communications and Electronics Association conferences, Big Data Camp, Cloud Camp, Collaborate, EclipseCon, Foresight Vision Weekend, Innovations in e-Learning Symposium, the International Cloud Symposium, Open Group Member Conferences, the OSD NDU Social Media Implementation Across Organizational Boundaries conference, the Red Hat Summit, the Redstone Arsenal IT Security & Assurance Conference, the SOA Symposium, SOA World, the Web 2.0 Expo, and other conferences. Previously, Tom worked for IBM and the United States Government, taught computer science for Virginia Tech, and practiced patent law for a law firm. Tom has a B.A. and a J.D. from George Mason University, and a M.S. in Computer Science from Virginia Tech.

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