Forum Discussion
Anushree2929
3 months agoNew Member
Join 3 fact table together with one-to-many relationship
I have a large semantic model, and as a beginner, I'm trying to understand the best practices for data modeling in Power BI. In my current model, the data engineer has connected two to three fact ta...
- 3 months ago
Hi Anushree2929
Your instinct is right, don't connect fact tables directly in Power BI. Use a star schema instead.
Why fact-to-fact is not recomended on your approach:
- Wrong totals – different grains cause row duplication and inflated sums.
- Confusing filters – filter direction gets unpredictable.
- Slower – Power BI's engine is built for star schemas.
- Hard to maintain – nobody trusts the numbers as the model grows.
The recomended workaround: Star Schema:
- Facts connect only to dimensions (Date, Product, Customer…).
- Facts never connect to facts.
- Relationships: one-to-many, single direction, Dim → Fact.
- Compare facts (Sales vs. Budget) through shared dimensions.
Dim_Date ─┬─► Fact_Sales
├─► Fact_Budget
└─► Fact_Inventory
Dim_Product ┘ (shared across all)
What to discuss with your data engineer:- Build shared dimensions (Date, Product, Customer).
- Remove fact-to-fact relationships.
- Connect each fact to the shared dimensions.
- Keep relationships single-direction.
- Compare a cross-fact measure before/after old totals were likely inflated.
Exception: header/detail like Sales_Header → Sales_Lines is okay.
Reference links: Start Schema Guidance
Thanks,
Srikanth Cheri.
v-csrikanth
Community Support
2 months agoHi Anushree2929
We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. And, if you have any further query do let us know.
Thank you.