Advanced Analytics 12c delivers parallelized in-database implementations of data mining algorithms and integration with open source R. Data analysts use Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy Advanced Analytics models using SQL data mining functions and R. With the Advanced Analytics option, Oracle extends the Oracle Database to an sclable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and deliver actionable insights. Big Data SQL adds new big data sources and Advanced Analytics for Hadoop provides algorithms that run on Hadoop.
Advanced Analytics, a combination of Data Mining and R Enterprise, delivers predictive analytics, data mining, text mining, statistical analysis, advanced numerical computations and interactive graphics inside the database. It brings powerful computations to the database resulting in dramatic improvements in information discovery, scalability, security, and savings. Data analysts, data scientists, statistical programmers, application developers and DBAs can develop and automate sophisticated analytical methodologies inside the database and gain competitive advantage.