Mark Hornick - Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop

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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

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Copyright 2013 by McGraw-Hill Education (Publisher). All rights reserved. Printed in the United States of America. Except as permitted under the Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of publisher, with the exception that the program listings may be entered, stored, and executed in a computer system, but they may not be reproduced for publication.

ISBN: 978-0-07-182627-3

MHID: 0-07-182627-0

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About the Authors

Mark Hornick is a Director in the Oracle Database Advanced Analytics group focusing on Oracle R Enterprise (ORE), Oracle R Connector for Hadoop (ORCH), and Oracle R Distribution (ORD). He also works with internal and external customers in the application of R for scalable applications in Oracle Database, Exadata, and the Big Data Appliance, also engaging in SAS-to-R conversion and performance benchmarking. Mark is co-author of Java Data Mining: Strategy, Standard, and Practice. He joined Oracles Data Mining Technologies group in 1999 through the acquisition of Thinking Machines Corp. Mark was a founding member of and currently serves as an Oracle Advisor to the IOUG Business Intelligence Warehousing and Analytics (BIWA) SIG. He has conducted training sessions on R, ORE, and ORCH in the US, EMEA, and APAC, and has presented at conferences including Oracle OpenWorld, Collaborate, BIWA Summit, and the R user conference useR! Mark holds a bachelors degree from Rutgers University and a masters degree from Brown University, both in computer science.

Tom Plunkett is a Senior Sales Consultant with Oracle. Tom also teaches graduate-level computer science courses for Virginia Tech as an adjunct instructor and distance learning instructor. Tom helped win several industry awards for a big data project that Oracle and the Frederick National Laboratory for Cancer Research collaborated on to analyze relationships between genomes and cancer subtypes, including the 2012 Government Big Data Solution Award, ACT-IAC finalist for best pilot/start-up project, and was nominated for a 2013 Computer World Honor Award for Innovation. Tom has spoken internationally at over forty conferences on the subject of Big Data since leading a team that won a Big Data project from the Office of the Secretary of Defense in 2009. Tom is the lead author of several books, including Oracle Big Data Handbook and Oracle Exalogic Elastic Cloud Handbook. Previously, Tom worked for IBM and practiced patent law for Fliesler Meyer. Tom has a BA and a JD from George Mason University, and an MS in computer science from Virginia Tech.

Thanks are due to Jean-Pierre Dijcks and Dan McClary for their technical editing and input during the writing of this book.

Using R to Unlock the Value of Big Data

Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop

T he focus of this book is on analyzing data with R while making it scalable using Oracles R technologies. Initial sections provide an introduction to open source R and issues with traditional R and database interaction. Subsequent sections cover Oracles strategic R offerings: Oracle R Enterprise 1.3, Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop 2.0.

Oracles R product offerings complement Oracles other products in the Big Data space. This book is based on an expanded and updated chapter from the companion book, Oracle Big Data Handbook, which provides comprehensive details on Oracles Big Data strategy and product offerings. Among other changes, this work includes a section of exercises that is not contained within

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