In-database analytics explained by Forrester’s James Kobielus


The week before last I headed up to Chicago to attend our partner Aster Data’s Big Data Insights summit.  One of the featured speakers was James Kobielus of Forrester Research, a leading expert on data warehousing, predictive analytics, data mining, and complex event processing.

With that background I thought Jim would be the perfect guy to ask about in-database analytics (where the actual analytics is colocated  in the data warehouse rather than having to schlep data from the warehouse to a separate analytics application).  So I did.

Some of the ground Jim covers:

  • Although there’s some new stuff there, in-database analytics is an old approach.
  • What’s new is we finally have an open interface/standard that allows a wider range of applications to be pushed down into the database and executed there.
  • Moving from proprietary interfaces/languages towards an open standard built on Map Reduce/Hadoop.
  • The benefits of this open approach
  • Aster Data as an evangelist for in database analytics

Extra-credit reading

Pau for now…

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