Intended Audience: Participants should understand the Power BI ecosystem overall, and some (limited is ok) experience creating a report.
What is a data model?
- What is data modeling and why it is so integral to Power BI?
- Review the fields and tables that have been imported into the Power BI Desktop.
- Why is a data model necessary?
- Explain the star schema
- Discuss fact and dimension tables
- Recognizing typical errors when the model is incorrect
Filters and relationships
- Explore the types of relationships: 1-to-many/many-to-1, many-to-many, one-to-one
- Discuss the importance of filtering in Power BI
- Creating relationships
- Active and inactive relationships
Adding to the data model
- Adding new content and enhancing your model.
- Adding new content using DAX: tables, columns, measures
- Hiding fields
- Finishing touches: hierarchies, descriptions, display folders
Conclusion
- Review of data modeling principles
General Notes:
- This is a full day session designed to be delivered with two 15-minute breaks and one hour for lunch.
- We will not be covering the Power Query Editor in this class or Power BI visuals in depth.
- Participants should have the Power BI Desktop installed.
- Data files will be provided in advance.