Analyzing big data with Revolution R Enterprise

This post from Sherry LaMonica is the first in a series from members of the Revolution Analytics Engineering team — ed.

Do you know about the big data capabilities in the RevoScaleR package, included with every Revolution R Enterprise installation?

This post from Sherry LaMonica is the first in a series from members of the Revolution Analytics Engineering team — ed.

Do you know about the big data capabilities in the RevoScaleR package, included with every Revolution R Enterprise installation?

RevoScaleR provides a framework for fast and efficient multi-core processing of large data sets. You can visualize and model data sets with millions of records on your local machine using syntax like:

  myLinMod <- rxLinMod(y ~ x + z, data=myData)

Some highlights of the RevoScaleR package include:

• The XDF file format, a binary file format with an R interface that optimizes row and column processing and analysis.
• Data transformation tools for exploring and preparing large data sets for analysis.
• Statistical algorithms optimized for large data sets.