The open-source RHadoop project makes it easier to extract data from Hadoop for analysis with R, and to run R within the nodes of the Hadoop cluster -- essentially, to transform Hadoop into a massively-parallel statistical computing cluster based on R. In yesterday's webinar (the replay of which is embedded below), Data scientist and RHadoop project lead Antonio Piccolboni introduced Hadoop and explained how to write map-reduce statements in the R language to drive the Hadoop cluster.
You can download Antonio's slides and and the replay from the webinar at the link below.
Revolution Analytics webinars: R + Hadoop = Big Data Analytics
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