New features include a dedicated Teradata connection and new Stepwise Regression for Big Data Linear Models, to speed up time to insight.
Date:
PALO ALTO, Calif. April 24, 2013
Revolution Analytics, the leading commercial provider of software, services and support for the open source R project, announced a significant upgrade to its commercial-grade analytics software built upon the world's most powerful
open source R statistics language
for R-based enterprise-class data analytics. Available now,
Revolution R Enterprise 6.2 introduces several new advances in high-performance predictive analytics.
The key new features of Revolution R Enterprise 6.2 include:
- High Speed Teradata Data Connection.
Teradata is the first database for which Revolution R Enterprise has a dedicated parallel connection. Customers can seamlessly extract data from a Teradata database using the Teradata Parallel Transporter and write it to a high performance XDF format file, or simply analyze the data directly. The increased speed with which Revolution R Enterprise users can move the data saves a significant amount of time when working with a large dataset.
- Stepwise Regression for 'Big Data' Linear Models.
This feature allows users to automate the process of building a model by using a rigorous method to test and select from among a range of variables that are available for use in the model. The result is a dramatic reduction in the total time needed to fit a model.
- Parallel Random Number Generation.
This new functionality provides an R interface to the parallel random number generators supplied with the Intel MKL libraries. These provide high quality parallel random numbers for use in distributed computations.
- Updated RevoDeployR Web Deployment Framework.
New APIs for script management and new priority scheduling features improve the management and operation of deployed R routines. Updated Java, JavaScript and .NET client libraries provide additional support for application developers, making it easier to integrate on-demand R-based computations with desktop, web-based and mobile apps.
The new release is based on open source R 2.15.3, the latest stable version. Revolution R Enterprise users benefit from 89 new features, 11 performance enhancements and 139 bug fixes from the open source R project.
Revolution R Enterprise 6.2 is available now. For more information, please visit
www.revolutionanalytics.com/products/revolution-enterprise.php, or join a webinar at 11AM EST on May 1 introducing the new features.
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