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Oracle Advanced Analytics for Big Data Released

Oracle integrates R statistical programming language into Oracle Database 11g.

Note: TDWI's editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Oracle has released Oracle Advanced Analytics, a new option for Oracle Database 11g that bundles Oracle R Enterprise together with Oracle Data Mining. Oracle R Enterprise delivers enterprise-class performance for users of the R statistical programming language, increasing the scale of data that can be analyzed by orders of magnitude using Oracle Database 11g.

R has attracted over two million users since its introduction in 1995, and Oracle R Enterprise advances capabilities for R users. Their existing R development skills, tools, and scripts can now also run transparently and scale against data stored in Oracle Database 11g. Customer testing of Oracle R Enterprise for Big Data analytics on Oracle Exadata has shown up to 100x increase in performance in comparison to their current environment.

Oracle Data Mining, now part of Oracle Advanced Analytics, helps enable customers to easily build and deploy predictive analytic applications that help deliver new insights into business performance.

Oracle Advanced Analytics, in conjunction with Oracle Big Data Appliance, Oracle Exadata Database Machine, and Oracle Exalytics In-Memory Machine, delivers an integrated and comprehensive platform for Big Data analytics.

Comprehensive In-Database Platform for Advanced Analytics

Oracle Advanced Analytics brings analytic algorithms to data stored in Oracle Database 11g and Oracle Exadata (as opposed to the traditional approach of extracting data to laptops or specialized servers).  With Oracle Advanced Analytics, customers have a comprehensive platform for real-time analytic applications that deliver insight into key business subjects such as churn prediction, product recommendations, and fraud alerts. By providing direct and controlled access to data stored in Oracle Database 11g, customers can accelerate data analyst productivity while maintaining data security throughout the enterprise.

Powered by decades of Oracle Database innovation, Oracle R Enterprise helps enable analysts run a variety of sophisticated numerical techniques on billion-row data sets in a matter of seconds, making iterative, speed-of-thought, high-quality numerical analysis on Big Data practical.

Oracle R Enterprise drastically reduces the time to deploy models by eliminating the need to translate the models to other languages before they can be deployed in production.

Oracle R Enterprise integrates the extensive set of Oracle Database data mining algorithms, analytics, and access to Oracle OLAP cubes into the R language for transparent use by R users. Oracle Data Mining provides an extensive set of in-database data mining algorithms that solve a wide range of business problems. These predictive models can be deployed in Oracle Database 11g and use Oracle Exadata Smart Scan to rapidly score huge volumes of data. The tight integration between R, Oracle Database 11g, and Hadoop enables R users to write one R script that can run in three different environments: a laptop running open source R, Hadoop running with Oracle Big Data Connectors, and Oracle Database 11g.

Oracle provides single-vendor support for the entire Big Data platform spanning the hardware stack, operating system, open source R, Oracle R Enterprise, and Oracle Database 11g.

To enable easy enterprise-wide Big Data analysis, results from Oracle Advanced Analytics can be viewed from Oracle Business Intelligence Foundation Suite and Oracle Exalytics In-Memory Machine.

To learn more, visit www.oracle.com/bigdata.

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