Tabular

Normalization vs. Denormalization best practices for Power Pivot / Tabular data modeling is typically not disputed.   First, let’s quickly define in human terms what we are referencing when we speak of normalization vs. denormalization. Normalization is reducing data duplication by splitting dimensional data and attributes into their dimension tables.  Typically, dimensions/attributes in a hierarchy … Read more

We will start off discussing the data model itself.   The data model that is created in Power Pivot or a Tabular solution is the foundation of any Microsoft business intelligence solution. The data model consists of the data structure (including tables and their relationships, columns in the tables, and all measures created), the data … Read more