This is my assignment request, it is about business intelligence database management.

Here you will discuss connections, similarities, shared issues, discrepancies, possible combinations of problems and techniques from the three papers, etc.

What- ever you consider relevant, but with reasons and referring to the papers if necessary.

You may cite other papers as well. This is expected to be your own personal elaboration or take on the combination of the three papers.

Article 1: Tapping into the "folk knowledge" needed to advance machine learning applications - a few useful things to Know about machine Learning. By Pedro domingos.

Article 2: Big data promises automated actionable knowledge creation and predictive models for use by both humans and computers.

BY Vasant Dhar

Article 3: BI technologies are essential to running today's businesses and this technology is going through sea changes.

BY Surajit Chaudhuri, Umeshwar Dayal, and Vivek Narasayya