Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hi all
I was wondering if i might have overseen a feature in Tabular/PowerBI which i found would be valuable.
I'm looking for a way to filter out/release unused dimension attributes in the model when exposed to end users (maybe also from a model performance/size point of view)
Considder the following:
Sales Fact table holds all sold amount of products to all known customers. Attached to the fact table I have a product table and a customer table. Now since the model holds data for the last 5 years ex. i might only have data for 60% of the customers in the customer table and 80% of the products in the product table.
So what i'm looking for is a way to hide/disable customers and/or products that are not used. Either by releasing them from the model/memory or simply just by hiding them towards end users.
Now I know that I can enable bidirectional crossfiltering between the fact and product/customer table, but this is not what i'm after. Also this will be in a scenario with multiple fact tables and rather large dimensional tables.
I also know that I could go ahead and handle this in the relational layer by checking all ex. customer keys in all fact tables on load, but as the model when processed, kind of already knows what is used or not, this could be a nice feature to be able to enable/disable on all dimension tables.
What are your thoughts ?
Hi,
You can approach this with a calculated Table, but the method is the same than in the relational.
Look in the Fact Table an load only Customers/Products that have a relation in the Fact table.
Hi WolfBiber
Yes I see it more like a setting pr dimension table like "after processing release unreferrenced keys"
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 59 | |
| 43 | |
| 42 | |
| 23 | |
| 17 |
| User | Count |
|---|---|
| 190 | |
| 122 | |
| 96 | |
| 66 | |
| 47 |