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 moreGet Fabric Certified for FREE during AI Skills Fest. This week only. Secure your voucher now.
Hi,
I need advice on how i can struture and combine my 3 tables + a date table.
I have these 3 tables:
Future_Inbound: shows incoming supply of new products
Forecast: shows forecasted demand in quantity of products
Stock_level: shows current stock level of products
Then i have a dax calculated date table.
How would you combine these three tables? Currently i am using a concatenated key between future inbound and forecast, which is: "Country - Product - Date" and then i create a many-to-many relation between inbound and forecast and then i join date to the datetable. But it just feels like the wrong approach.
how would you do it?
Solved! Go to Solution.
Do not join your fact tables directly. Use dimension tables (like the calendar, and a customer list) to control the fact tables.
Do not join your fact tables directly. Use dimension tables (like the calendar, and a customer list) to control the fact tables.
thanks i figured out to do this, maybe i can ask you another question =D
i asked the question here:
https://community.powerbi.com/t5/Desktop/Calculating-stock-level-value-from-last-month-new-demand/m-...
the new data model is like this for the sample:
The filter direction should be single, from the time dimension to the fact tables.
Check out the May 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 |
|---|---|
| 25 | |
| 24 | |
| 22 | |
| 19 | |
| 19 |
| User | Count |
|---|---|
| 44 | |
| 43 | |
| 43 | |
| 21 | |
| 21 |