Using Microsoft R Server to Address Scalability Issues in R

February 15, 2016
By

(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

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)