Article
The path from warehouse to Power BI
The path from warehouse to Power BI is designed as one piece of work. A measure that cannot be traced to a column in the warehouse is not ready to hand over. I do not treat SQL, the model, and the page as three separate jobs.
What has to agree
Grain, names, and the date. If the warehouse grain is a transaction and the report talks in days, the model has to make that step explicit.
SSRS and Power BI should use the same names when they read the same warehouse. If they diverge, operations will trust neither.
Where faults show up
A visual that looks wrong is often a late table, a grain mismatch, or a measure that assumes a filter the warehouse does not have.
I investigate those as warehouse and model issues first, then as layout.
Questions
How should warehouse-to-Power-BI work be designed?
As one piece of work. Requirements are agreed first. The SQL, the semantic model, and the report share grain and names so a measure can be traced to a column.
Why do warehouse and report names have to match?
If SSRS and Power BI use different names for the same warehouse column, operations will not know which number to trust.