Oracle Announces Availability of Oracle Advanced Analytics for Big Data
Oracle Integrates R Statistical Programming Language into Oracle Database 11g
REDWOOD SHORES, Calif. - February 8, 2012
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
dramatically advances capability 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.
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 alerting.
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 to run a
variety of sophisticated 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 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
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
“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 Andrew Mendelsohn, senior vice president, Oracle Server
“We work with leading edge
customers who rely on us to deliver better BI from their Oracle
Databases. The new Oracle R Enterprise functionality allows us to
perform deep analytics on Big Data stored in Oracle Databases. By
leveraging R and its library of open source contributed CRAN packages
combined with the power and scalability of Oracle Database 11g, we can
now do that,” said Mark Rittman, co-founder, Rittman Mead.
Oracle engineers hardware and
software to work together in the cloud and in your data center. For more
information about Oracle (NASDAQ: ORCL), visit http://www.oracle.com.
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