March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
Hi,
they say: create only one dim_time table for all facts. So:
Now I have one dim_time which relates to multiple fact tables. The problem is, when I use this dim_time for filtering to a specific date it will filter all the other facts for that date as well.
When I want to filter only the registrations for a specific date and get all the sales for these customers who registerd at that date.
Or get all the sales for a specific date and see the registrations for the customers who did that sells.
Do I need two dim_time-dimensions for that?
I am using the SSAS and my Power BI would use this model after it is done.
Solved! Go to Solution.
You can write measures that remove filters. You can also set the time relationships up as inactive and only activate them within certain measures (USERELATIOINSHIP).
If you need to control filters for the fact tables independently and simultaneously with slicers, then it may be better to have multiple time dimensions.
You can write measures that remove filters. You can also set the time relationships up as inactive and only activate them within certain measures (USERELATIOINSHIP).
If you need to control filters for the fact tables independently and simultaneously with slicers, then it may be better to have multiple time dimensions.
Okey, than I was right with the two dimensions , one for each time.
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
User | Count |
---|---|
90 | |
89 | |
85 | |
73 | |
49 |
User | Count |
---|---|
167 | |
148 | |
92 | |
72 | |
58 |