Using Microsoft R Server to Address Scalability Issues in R

February 15, 2016

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

If you missed the recent webinar presented by Derek Norton, Using Microsoft R Server to Address Scalability Issues in R, you can now catch up with the replay below. In the webinar, Derek compares Microsoft R Open and Microsoft R Server, and demonstrates using Microsoft R Server to model a 40-million-row data file using logistic regression. (The demo begins at the 23-minute mark.) He also discusses factors you should consider when analyzing big data, for example whether to use a multi-core server, or to distribute the computation in Hadoop or SQL Server.


To download the slides from the presentation and get the links to the resources Derek provided in the webinar, check out the archived webinar page below.

Microsoft Azure webinars: Using Microsoft R Server to Address Scalability Issues in R

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