In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose innovative integration of Artificial Intelligence (AI) with Dimensional and ...

When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...