This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
I have created an aggregation model where I have a Direct Query for my detailed data and an import for month/year data.
Currently I have 2 date dimensions due to this. One by date level and one by month/quarter/year. In order for users to hit the aggregation they need to use the month/quarter/year one.
How can I make it so the users only see one date table and still hit aggregations when they use month/quarter/year from that table?
Hi @Clampazzo ,
By aggregation model, do you mean what is described in this document?
User-defined aggregations - Power BI | Microsoft Learn
If you can, could you please provide me with sample data for these two tables so I can do a test, thanks!
Best Regards,
Dino Tao
i found this link and attempted #2 and yet that isn't working. I have manage aggregations pointing to the direct query for that and have joined the new field on the id of the date table. Yet it's not finding the aggregation.
https://community.fabric.microsoft.com/t5/Desktop/Aggregation-by-month-connect-to-date-dimension/td-...
UPdate, method #2 sort of works. In that the aggregation is now being followed. However, if I drill down and try to do this by date and count # of tickets it summarizes everything onto the first of the month. If I add a detail column it gives me a million record exceeding error. Which seems due to RLS being performed. I'm assumign the RLS being performed later in the process is causing me problems.
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 34 | |
| 31 | |
| 30 | |
| 21 | |
| 16 |
| User | Count |
|---|---|
| 62 | |
| 51 | |
| 31 | |
| 23 | |
| 23 |