|[November 08, 2012]
Revolution Analytics Brings Big Data Decision Trees and New Hadoop Support to Predictive Analytics
PALO ALTO, Calif. --(Business Wire)--
Analytics, the leading commercial provider of software, services and
support for the open source R project, today unveiled the latest version
of Revolution (News - Alert) R Enterprise, its commercial-grade analytics software
built upon the world's most powerful open
source R statistics language for R-based enterprise-class data
analytics. Revolution R Enterprise 6.1 introduces several new advances
in high-performance predictive analytics. It gives users new ability to
create big data decision trees, and easily extract and perform
predictive analytics on data that is stored in the Hadoop Distributed
File System (HDFS).
"Revolution Analytics is dedicated to helping organizations and R
developers leverage the power of R for real time data analytics," said
David Rich, Revolution Analytics CEO. "Our new release delivers several
new features to help organizations with complex and fast-growing data
sets make sense of big data. With this new version, Revolution Analytics
once again sets a new standard for data analytics."
Revolution R Enterprise 6.1 includes the following new capabilities:
Big data decision trees. The new "rxDTree" function is a
powerful tool for fitting classification and regression trees, which
are among the most frequently used algorithms for data analysis and
data mining. The implementation provided in Revolution Analytics'
RevoScaleR package is parallelized, scalable, distributable and
designed wit big data in mind. Revolution R Enterprise continues to
offer a wide range of other big-data analysis algorithms, including
summary statistics, crosstabs, regression, generalized linear models
and K-means clustering.
New ability to analyze data from Hadoop Distributed File System
(HDFS). With more and more data stored in Hadoop, this new option
lets data scientists read data from HDFS and apply big-data
statistical models from Revolution R Enterprise.
Improved performance for 'Big Data' files. RevoScaleR's 'XDF'
file format provides fast access to big data. With new compression
technology the size of XDF files can be reduced, allowing for
higher-performance analytics throughput and faster transfers into
clusters or cloud processing systems.
Improved Linux installer. The installation process on
Linux servers has been streamlined to meet stringent IT requirements,
especially for non-root installs.
SiteMinder single-sign for applications: Authorized users of
applications built on Revolution R Enterprise deployed via the
RevoDeployR Web Services API may authenticate using CA (News - Alert) SiteMinder®.
Revolution R Enterprise 6.1 is available now. For more information on
the new platform, register for the free webinar, "New
Advances in High Performance Analytics with R: 'Big Data' Decision Trees
and Analysis of Hadoop Data," which will explore new features. The
webinar will take place on November 15, 2012.
Additional details on Revolution R Enterprise can be found at http://www.revolutionanalytics.com/products/revolution-enterprise.php.
About Revolution Analytics
Analytics is the leading commercial provider of software and
services based on the open source R project for statistical computing.
The company brings high performance, productivity and enterprise
readiness to R, the most powerful statistics language in the world. The
company's flagship Revolution R Enterprise product is designed to meet
the production needs of large organizations in industries such as
finance, life sciences, retail, manufacturing and media. Used by over
two million analysts in academia and at cutting-edge companies such as
Google, Bank of America and Acxiom (News - Alert), R has emerged as the standard of
innovation in statistical analysis. Revolution Analytics is committed to
fostering the continued growth of the R community through sponsorship of
community site, funding worldwide R user groups and offering free
licenses of Revolution R Enterprise to everyone in academia.
SiteMinder is a registered trademark of CA Technologies (News - Alert).
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