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!Calling all Data Engineers! Fabric Data Engineer (Exam DP-700) live sessions are back! Starting October 16th. Sign up.
Hello Team,
I have forecasting table in my data model (year-month, material code, qty) which we receive every month. Each time before loading next forecasting file I need clear in the existing forecasting table all months from current.
For example, earlier in the year we received Jan.forecast.xlsx (file_1) which contained 12 months from Jan to Dec 2022. Then we receive Feb.forecast.xlsx (file_2) which has 11 months from Feb to Dec 2022. We need to keep Jan data from the file_1, wipe out all other data in the existing table and put file_2 in it. How do I do it in the PowerQuery?
Solved! Go to Solution.
Create Incremental refresh with monthly partitions. Disable automatic refresh. Swap your data source but keep its name. Manually refresh the partitions you are interested in (via API call).
Note: This will not survive a rogue full dataset refresh. Power BI has no memory, and no concept of global variables. You may need to do all that in the upstream system instead.
Create Incremental refresh with monthly partitions. Disable automatic refresh. Swap your data source but keep its name. Manually refresh the partitions you are interested in (via API call).
Note: This will not survive a rogue full dataset refresh. Power BI has no memory, and no concept of global variables. You may need to do all that in the upstream system instead.
Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes!
Check out the October 2025 Power BI update to learn about new features.