An update to Microsoft R Client, Microsoft's distribution of open source R with additional proprietary packages — including RevoScaleR (for data analysis at scale) and MicrosoftML (for machine learning) — is now available. Microsoft R Client 3.4.3 updates the R engine to R 3.4.3, and (on Linux) now supports deploying computations to a remote SQL Server with the sqlrutils package.
Microsoft R Client 3.4.3 is free to download and use, and as the video above shows is designed for developing analytical applications that will be deployed to production servers. It works with Microsoft Machine Learning Server 9.3, also released today. You can use Microsoft ML Server to scale your R analysis to data sets of any size or workloads of any intensity: as a server or cluster of servers on premises or in the Azure cloud, or as part of a hybrid architecture with Azure Stack.
For more information on the new capabilities in Microsoft ML Server and Microsoft R Client, take a look at the announcement linked below.
Machine Learning Blog: Introducing the Microsoft Machine Learning Server 9.3 Release
Tried to post this question in release comments, but somehow this didn't show up repeatedly :)
Great news on the ML Server and continued R support, but is there any news on when Azure ML Studio R support would be upgraded from 3.1 (CRAN) and 3.2 (MS R Open) to the latest versions?
Posted by: Bobbers | March 01, 2018 at 22:50
@Bobbers, I checked in with the ML Studio team on your question. Support for later R versions is in the pipeline, but there are no dates to announce right now.
Posted by: David Smith | March 02, 2018 at 12:32
Thanks David for the reply.
Hoping for it to happen soon, as this would leverage the power of ML Studio even higher, compared to some other big competitor offerings ;)
Posted by: Bobbers | March 04, 2018 at 22:39