What’s new in Revolution R Enterprise 7.4.1

August 17, 2015
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

by Richard Kittler, Revolution R Enterprise PM, Microsoft Advanced Analytics

In its latest release Revolution has added to the platform support of Revolution R Enterprise (RRE) version 7.4. Released August 14, version 7.4.1 extends RRE 7.4 capabilities to the Teradata database, HPC Server cluster, and Windows 10 platforms.

With RRE for Teradata customers enjoy the advantage of bringing the analytics to the data by having RRE’s high performance parallelized ScaleR algorithms run in-database on Teradata 14.10 and 15.00 databases rather than incurring the overhead of the traditional extract and analyze paradigm.

With RRE for Microsoft HPC Pack 2008 or 2012 these same high performance ScaleR algorithms can be run in a distributed fashion across HPC-based Windows clusters. 

Developers running RRE on laptops and desktops are now able to leverage Microsoft’s latest update to Windows with full RRE support for Windows 10.

Other new features in version 7.4.1 include:

  • Default installation on top of Revolution R Open, Revolution’s enhanced distribution of open source R.
  • Enhanced support for importing from and exporting to composite CSV and XDF files      (experimental).

For RRE users integrating R with enterprise apps, RRE's included DeployR integration server now supports use of Java8. A more detailed coverage of what’s new in DeployR 7.4.1 please see this companion blog post or the link below.

Details of the new features in RRE 7.4.1 can be found in the release notes here.

Details of improvements to DeployR integration server in RRE 7.4.1 can be found here.

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