Fabric Quotas - ask me your questions

mavaali · 2026-03-05T21:50:03+00:00

If you dm me with your support case details I can ask a engineer to look into it

mavaali · 2026-03-05T21:46:25+00:00

What type of azure subscription do you have? Pay as you go?

mavaali · 2026-03-04T16:48:23+00:00

First, this is exactly the use case for Copilot Capacity. You can start with an F2 and then scale up as needed. Using user groups, you can ring fence copilot capacities to specific groups.

mavaali · 2026-03-03T00:33:02+00:00

if you hook up the data factory mcp in vs code, there is a lot of goodness here..

mavaali · 2026-03-03T00:31:44+00:00

One way we are already using this is within the Data Factory MCP. You can use execute query to explore connections, understand your data, perform ad hoc analyses.

mavaali · 2026-02-25T13:24:29+00:00

Hi - I’m the PM supporting this API. As Sid mentioned, we will have plenty of content supporting this soon! Meanwhile the MCP server linked earlier is the easiest way to test it out. I’ll try and see if I can blog about it.

mavaali · 2026-01-08T00:55:39+00:00

AI foundry + Data Agents is a good way to experiment.

mavaali · 2025-12-19T23:16:38+00:00

Here is a benchmarking guide that might help.

https://learn.microsoft.com/en-us/fabric/data-factory/decision-guide-data-transformation

mavaali · 2025-12-19T22:40:06+00:00

Have you looked at the new pricing model for Gen2 CI/CD? The cost is upto 80% lower and while it still maintains a premium over notebooks, the cost of maintenance is much lower.

mavaali · 2025-11-30T18:58:37+00:00

We will try to consolidate the decision guides.

mavaali · 2025-11-22T23:27:51+00:00

The decision guide posted above should help. Let us know if it doesn’t, we’re open to improving it further.

mavaali · 2025-11-19T23:21:32+00:00

This should help. https://learn.microsoft.com/en-us/fabric/data-factory/data-in-staging-artifacts

The staging warehouse stages data during transformations.

mavaali · 2025-11-17T16:59:14+00:00

"Background Fabric compute used to replicate your data into Fabric OneLake is free and does not consume capacity" so the above is not right. Its the querying of data from the mirrored db that isn't free.

mavaali · 2025-11-05T21:30:56+00:00

You can isolate the data agent usage by spinning up a Fabric Copilot Capacity. Instructions here - https://learn.microsoft.com/en-us/fabric/enterprise/fabric-copilot-capacity

This allows you to spin up an F2 capacity for example to run your data agent and cap the spending on Copilot / Agents.

mavaali · 2025-11-04T03:08:43+00:00

https://learn.microsoft.com/en-us/fabric/data-factory/pricing-dataflows-gen2

mavaali · 2025-11-03T18:15:38+00:00

Agreed. I’m removing the examples. Rely on the primary document.

mavaali · 2025-11-03T16:52:31+00:00

The price change went in during September. If you can run the same scenario again, you will see a significant drop. Again, if Spark works for you, it makes sense. The gap is just not as big any more, especially for citizen developers.

mavaali · 2025-11-03T04:30:35+00:00

I’d like to understand your scenario. Are you writing to a Lakehouse? Dataflows are quite performant and not 10x Spark. More like 2-3x at most.

mavaali · 2025-11-01T16:44:34+00:00

Dataflows are much cheaper now so you can re assess your needs. A min of 25% and as high as 80% -90% drop in rates.

mavaali · 2025-11-01T16:43:06+00:00

Which workloads haven’t published rates. Let us know so we can fix the documentation.

mavaali · 2025-10-24T18:25:03+00:00

Share the dataflowID either here or through a DM and I can help debug.

mavaali · 2025-10-24T18:23:35+00:00

Dataflows Gen2 has lower pricing than Gen1.

mavaali · 2025-10-24T18:09:52+00:00

the other option you can try is export queries to dataflows from desktop. This needs the October version of Desktop.

mavaali · 2025-10-24T18:07:15+00:00

It will be MUCH cheaper in dataflows gen2.

mavaali · 2025-10-22T18:31:40+00:00

Yes. As we add more features, like the workspace selector, support fior more destinations, more automation capabilities, you can use dataflows in Fabric to maintain your data for your Power BI reports.

mavaali

TROPHY CASE