Hadoop World 2011: Data Mining in Hadoop, Making Sense of it in Mahout!

A selection of methodologies, using Mahout, to derive real insight from your data (mined in Hadoop) and build a recommendation engine focused on the implicit data collected from your users.

Date: Tuesday, Nov 08 2011
Much of Hadoop adoption thus far has been for use cases such as processing log files, text mining, and storing masses of file data -- all very necessary, but largely not exciting. In this presentation, Michael Cutler presents a selection of methodologies, primarily using Mahout, that will enable you to derive real insight into your data (mined in Hadoop) and build a recommendation engine focused on the implicit data collected from your users.