Using R to Unlock the Value of Big Data
Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop
1st Edition
Published on 6. June 2013
84 pages
978-0-07-182627-3 (ISBN)
Available for download
Description
The Oracle Press Guide to Big Data Analytics using RCowritten 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.
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Mark Hornick | Tom Plunkett
Using R to Unlock the Value of Big Data
Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop
Book
06/2013
McGraw-Hill Inc.,US
€28.30
Shipment within 15-20 days
Content
- Cover
- Title Page
- Copyright Page
- Contents
- About the Authors
- Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop
- Introduction to Open Source R
- CRAN, Packages, and Task Views
- GUIs and IDEs
- Traditional R and Database Interaction vs. Oracle R Enterprise
- Oracle's Strategic R Offerings
- Oracle R Enterprise
- Oracle R Distribution
- ROracle
- Oracle R Connector for Hadoop
- Oracle R Enterprise: Next-Level View
- Oracle R Enterprise Installation and Configuration
- Using Oracle R Enterprise
- Transparency Layer
- Embedded R Execution
- Predictive Analytics
- Oracle R Connector for Hadoop
- Invoking MapReduce Jobs
- Testing ORCH R Scripts Without the Hadoop Cluster
- Interacting with HDFS from R
- HDFS Metadata Discovery
- Working with Hadoop Using the ORCH Framework
- ORCH Predictive Analytics on Hadoop
- ORCHhive
- ORCH and ORE Interaction
- Summary
- Conclusion
- Exercises
- Useful Links
