Increasing CU capacity usage running dataflows

Hi, SaiTejaTalasila 

thanks for your concern about this issue. 

Your method is also a solution. 

And I would like to share some additional solutions below.

Hi,remconicolai- 

I am glad to help you.  

According to your description, you want to know what causes this exceeding CU growth for just a few simple dataflows? 

If I understand you correctly, then you can refer to my solution. 

Check the complexity of the data flow: Even if the data flow seems simple, make sure there is no hidden complexity or inefficiency. Some transformation operations may be more resource-intensive than expected, so you can check for transformations and optimize some of them appropriately. 

Throttling Policies: Understand and configure throttling policies to manage and balance performance and reliability. 

Monitor CU Usage: Use the  Microsoft Fabric Capacity Metrics app to monitor CU usage. This helps determine if there are specific times or operations that cause spikes. 

Adjust Scheduling: Instead of running streams every hour, try staggering times or running streams during off-peak hours to distribute the load more evenly. 

Increase Capacity: If your current capacity is consistently reaching its limits, consider increasing Fabric capacity to better handle the load. 

Here's the official documentation, hope it helps: 

Understand your Fabric capacity throttling - Microsoft Fabric | Microsoft Learn 

I hope my suggestions give you good ideas, if you have any more questions, please clarify in a follow-up reply.

Best Regards,
Fen Ling,

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.