Knime 3.4 connections to Microsoft R, Azure

[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Version 3.4 of the Knime Analytics Platform, the open-source data science workflow toolbox, was released back in July. With that release came new integrations with Azure and Microsoft R Server, which were highlighted in a recent blog post. With Knime 3.4, you can use Microsoft R Server packages in an R node, and connect to data services in Azure.

Knime 3.4 includes a new example: predicting departure delays from the Airlines data set. To run this example, you'll need to configure Knime to make Microsoft R Client or Microsoft R Server the default R engine used by Knime. With that change made, you can access the built-in airlines data set, and used the rxLogit function in the RevoScaleR library to fit a logistic regression model, even though the data is larger than could normally be accommodated by R. You can see the process demonstrated in the video below.

This update also provides several example workflows for accessing data in various Azure services including:

Knime users can find these workflows in the Knime Examples Server, and you can find further details at the link below.

Knime blog: A Touch of Azure in Your KNIME Workflow

To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

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)