Big Data, Analytics and Normalization with Fabian Pascal

According the Fabian Pascal, Big Data may offer analytical insights, but with almost certainty will produce really big lies from 100% correct data.

Fabian will explain:

• Why and how (particularly when data is from external sources).

• How to protect yourself from the lies!

Fabian Pascal is infamous for his fundamental, no-holds-barred, uncompromising take on what the Relational Model is, what it isn’t, and what that means for all professionals who design databases.

For more than 25 years, Fabian has been an independent analyst, writer, and lecturer specializing in data fundamentals and the relational model. He was associated with Codd & Date, and has written three books and hundreds of articles. His clients include IBM, the Census Bureau, CIA, Apple, UCSF, Golden Gate University, and the IRS. He's founder, editor, and publisher of Database Debunkings. (http://www.dbdebunk.com/)