Oracle has released Oracle Advanced Analytics, a new option for Oracle Database 11g that combines Oracle R Enterprise together with Oracle Data Mining.
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 specialised servers.
The new release, 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.
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 alerting.
Oracle Data Mining, part of Oracle Advanced Analytics, helps customers to build and deploy predictive analytic applications that help deliver new insights into business performance.
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.
With Oracle R Enterprise, analysts can run a variety of numerical techniques on billion row data sets in a matter of seconds making iterative, speed of thought, and high-quality numerical analysis on Big Data practical.
Oracle Server Technologies senior vice-president Andrew Mendelsohn said Oracle is committed to meeting the challenges of Big Data analytics.
"By building upon the analytical depth of Oracle SQL, Oracle Data Mining and the R environment, Oracle is delivering a scalable and secure Big Data platform to help our customers solve the toughest analytics problems," said Mendelsohn.
