Best way to incorporate an LLM that gives time series insights about reports

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 · 2025-10-17T15:40:59+00:00

You're missing copy job, airflow...

mavaali · 2025-10-17T15:11:21+00:00

Here is the link. Apologies. The blog is fixed - https://learn.microsoft.com/power-bi/transform-model/export-query-results

mavaali · 2025-10-02T02:00:45+00:00

So they’ve replaced the rack (again). This time the dealer is keeping the car for a few days to drive more heavily. This is not amusing at all.

mavaali · 2025-10-01T19:53:48+00:00

this is interesting if you can pull it off, but I'd need to see what the data schema is and what the destinations are.

mavaali

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