If star schema design is a data modeling best practice for Power BI, why isn't everyone doing it? Just because the other database practitioners aren't onboard with dimensional modeling best practices doesn't mean that we can't design efficient BI solutions. This demonstration shows how to transform a flat source data set into a fact table and related dimensions.
- The Dimensional Dilemma and Power BI ( Download)
- Fact & Dimension tables in Power BI | Data Modelling ( Download)
- Power BI - Power Query - Create Dimension or Lookup Table ( Download)
- CREATE FACT & DIMENSION TABLES FROM A SINGLE DE-NORMALIZED TABLE ( Download)
- Master Dimensional Modeling Lesson 01 - Why Use a Dimensional Model ( Download)
- Join Two Fact Tables using a common dimension table Power BI ( Download)
- Power BI – Multiple Fact Tables ( Download)
- One Dimension Filters Another Dimension in Power BI ( Download)
- Power BI Star schema from one large table ( Download)
- Tabular Model vs Multidimensional Cubes - User Experience ( Download)
- Putin flirts, Putin sigma rule, Putin body language #sigma #confidence #bodylanguage #putin #shorts ( Download)
- Working with multiple Fact Tables in power bi ( Download)
- Handling Role Playing Dimensions in Tabular Models - Brian Larson ( Download)
- Dimension Tables & Fact Tables: The Basics Of Data Modeling In Power Bi ( Download)
- Highly Denormalised Fact Tables Power BI ( Download)