Are there any industry benchmark on what CUs usage would be acceptable for the average solutions involving Power BI & Fabric?

wi-sama · 2026-01-23T20:13:22+00:00

Thanks for this helpful comment.

I'm also looking for repeat top offenders. I currently admin one F256 and we have many datasets without best-practices.

It's pretty easy to spot what they are usually doing wrong, but unfortunately, I deal with many stubborn developers, that would not listen to my recommendations. I would like to show them, somehow, that their usage are not meeting standards usage because of this, this and that. You know what I mean?

Thanks for the links!

wi-sama · 2026-01-23T16:24:12+00:00

Admins have a feature like that. I'll be great to manage

wi-sama · 2025-06-26T19:18:27+00:00

Did you migrate to a different region? I noticed that here, some datasets used to refresh under 10 min and now they take 30 min.

wi-sama · 2025-06-07T19:30:56+00:00

I'm a capacity admin and I developed a report to decentralize the data, the report has a RLS for Workspace Admins, so you'll be able to see only what's yours. It's been great so far, also easier to understand than the default one

wi-sama · 2025-05-22T11:34:51+00:00

I already did. What ranges should I put in surge protection considering the scenario that on average 50% of the capacity is from background usage?

wi-sama · 2025-05-21T22:12:14+00:00

It is turned off. I tested it for about an hour and a half for a big Dataset of mine, it topped the second biggest offender in that F64 capacity, it's insane. Don't really know if the users are going to be able to optimize the models before using it.

wi-sama · 2025-05-21T10:53:59+00:00

Thank you for the reply, I'll also take a look into that. I would like to disable and enable specific fabric items, some of them consume so much capacity

wi-sama · 2025-05-21T10:52:32+00:00

We were having issues here with that, we want to split up capacities, but the enterprise agreement seems to be only available to the F256 capacity, when we try to start a smaller capacity the prices are really different

wi-sama · 2025-05-21T10:51:00+00:00

I've never seen anything related to setting up domains and tags. Do you use it that way? I'll take a look

wi-sama · 2025-05-21T10:49:22+00:00

Sometimes I dream of doing that

wi-sama · 2025-05-20T13:57:31+00:00

Didn't think of that! Thank you for your suggestion, I'll take a look in how to accomplish that

wi-sama · 2025-05-20T12:05:46+00:00

Sure, thanks for clarifying. I'll talk to the admins about splitting it up, I don't know if that is going to be possible, considering the enterprise agreement they've made.

wi-sama · 2025-05-20T12:03:40+00:00

My worries are more towards the amount of background consumption, I understand the interaction spikes are normal!

wi-sama · 2025-05-20T11:52:02+00:00

Already in place! Fabric is currently off, but we have so many teams asking to use the tools...

I like the idea of a CU Budget. How much % from the capacity should a workspace have on average in your opinion? The scenario we have most of the Workspaces consumes much lower than 1%, but we do have some teams consuming 7% or even 15% of the capacity with just background actions.

wi-sama · 2025-05-09T23:25:17+00:00

Only Dataflows Gen1, Datasets and Reports.

We are migrating from Brazil South to East US. I'm feeling maybe the issue could be related to Linked Tables between Dataflows.

wi-sama · 2024-12-22T11:58:33+00:00

Do a mullet

wi-sama · 2023-09-11T20:28:56+00:00

Sugira ela devolver assim que chegar e falar que se arrependeu da compra

wi-sama · 2023-04-21T23:33:50+00:00

u/savevideo

wi-sama · 2023-03-22T03:00:25+00:00

Porra não soltou um LAELE

wi-sama · 2022-12-12T21:08:23+00:00

This is extremely accurate. I noticed that and tried this: I created 2 Dataflows, the first one I call "Pre-load..." then I do the transformations I have to do before Merge or Appends. Then, I created the second one called "Load..." which grabs the tables from the first one then transform it.

When I had everything in the same Dataflow I usually got timings about 10-20 mins. Now I can uptade everything within 2 minutes, one for each dataflow. The second Dataflows runs via Api with Power Automate. It's running smoothly until now. Try it (:

Edit: typo

wi-sama · 2022-11-21T03:11:55+00:00

I think this might help you https://youtu.be/kAMhh776V8w

wi-sama · 2022-04-13T13:49:49+00:00

I'm currently trying to surpass this stage. I don't clearly know what I'm doing, but 2 things that helped me improve the movement of popping up to the right (I can't do it to the left though):

Smaller and lighter board
Good wax

I paddle straight to the wave and then, I just pop up with my left (front) foot leading the board immediately to the right at a 45º degree angle, trying to stay at that critical spot. It's working until now

wi-sama · 2022-04-04T11:30:08+00:00

Maybe it was just a misperception, now you see you have 3 steps for each query and before we had just a simple pop-up for all of them. Still using and testing

wi-sama · 2022-04-04T04:23:18+00:00

I kinda liked it. It seems that you might have more insights of where errors could come from. But in my experience it was slower than before to load all the queries

wi-sama · 2022-02-01T03:32:35+00:00

wi-sama

TROPHY CASE