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Big Data Analysis with Revolution R Enterprise

Extending R to Big Data

The R language is well established, and typically used for statistics and predictive analytics. Despite this, some organizations have been reluctant to use R in production applications because it is memory-bound. Data sets are now so large -- sometimes exceeding tens of gigabytes and hundreds of millions of rows -- that scalability and performance become issues, particularly for mission-critical applications with precise deadlines.

Revolution Analytics has extended R to work with terabyte-class data sets through RevoScaleR(tm), an add-on package specifically designed for use with large data sets. It doesn't require expensive or specialized hardware.