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Students will gain a grounding in the principles enabling them to design and build dimensional Power BI models for a wide variety of real-world scenarios. There are hands on Power BI exercises throughout the day.

Content covered includes the following:

Overview & Rationale for modelling data in Power BI
Illustrating the problems encountered with a poor data model
- Poor performance
- Cryptic organisation
- Lack of flexibility
- Many to many relationships
- Bi-directional filters
Basic dimensional modelling theory as applicable for Power BI
Exercise to redesign the poor example model
Revisit exercises that illustrated the problems with a poor data model compared with a pre-prepared best practice Power BI data model

You can find the full course description here.