Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
Hi community,
(first post here! and PBI rookie)
I have a solution based on several dataflows. The orchestration of them is still a little bit confusing to me, but here's the specific matter that brings me here:
- I have a dataflow A that acts as an ingestion one, that is, reads from the data source and only applies some filters. It takes ~35 minutes to refresh.
- I have another dataflow B that reads from dataflow A (linked entities) and applies several transformations. The refresh time of this dataflow is ~4 HOURS!
I figured that this would need some incremental refresh, but then I thought: where to apply the incremental refresh: dataflow A or B? Or both? And is this really going to help with the refreshing times? Because the whole data reading is done in dataflow A, and that is relatively quick... And how does an incremental refresh in dataflow A pass only the new/updated rows to dataflow B? That is, how can dataflow B understand that it should run all transformations only on the new records?
I'm working on a Premium workspace.
Thanks in advance for any kind of input,
Lisa
Hi @wilda ,
It is recommended to configure incremental refresh in dataflow A, dataflow b is created by dataflow a, dataflow a is the original data source, incremental refresh is applied to dataflow A first, and then to dataflow B.
Refer to :
https://docs.microsoft.com/en-us/power-query/dataflows/incremental-refresh
https://community.powerbi.com/t5/Service/Using-Parameters-with-Dataflows/m-p/1019937
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
50 | |
31 | |
26 | |
26 | |
25 |
User | Count |
---|---|
60 | |
49 | |
29 | |
24 | |
23 |