Revo R and Netezza


We have the R software now installed on a TF3, and Nick Rock (our R programmer) is experimenting with the code and trying to understand how to best interact with the Netezza databases. 

1. Do variables sometimes need to be cast in a different way for R to operate correctly, for example, converting from integer to floating point? 

2. How does R partition (and how can we tell R to partition) computations across different SPUs so things can execute in parallel? I don’t know if I have the right terminology here, but my understanding is that one of the key values of running R on Netezza is to accelerate processing by running certain functions in parallel. 


Customer needs to run Revolution R for Netezza to take advantage of the different SPUs available. May need to change variable types in R, as it lacks some of the data types available in Netezza.

Article ID: 3103859 - Last Review: Nov 1, 2015 - Revision: 1

Revolution Analytics