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Totally agree! I still have a rolling trial version of Fabric, which is great but I am always expecting it to disappear each 30 days, so do not really use it like i would like to. I used it a lot initially, did some of Randy Minder's courses and set up some exploratory analyses etc etc. I like it, as I can finally organise data, processes and analytics, but I am not going to pay that sort of money. My clients generally don't (yet) have it, and it is hard to recommend something you don't have good access to. I do however have a premium per user power bi license which is great.
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Can't believe nothing has changed on this. I've got 10 visuals that load instantly while number 11 takes it's time. Sure would be nice if the user could really SEE that this visual is taking a few extra seconds to load. Even if you could change the COLOR of the loading wheel somehow it would be a plus.
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How is this not implemented! Most of my reports have this issue. It seems like a simple request just make the position values reverse. Please do this Microsoft!
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Excellent idea
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This is a great idea, so frustrating with those three reports to get a summary.
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This is so needed, many clients ask for this, and we are very limited.
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Would be such a beautiful addition upleveling the look/feel of reports/dashboards.
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This will help reduce dev time (meaning not spending as much time creating icons or tutorials for visuals that have an actionable aspect to it).
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Loving this idea for an added visual representation of data for charts!
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A nightmare for the Pro Azure Data Engineers who write metadata driven dynamic pipelines. The only thing is stopping my company to migrate from ADF/Synapse to Fabric. Similarly, the last project I did with my prior company on Azure with Databricks as the pipeline engine they wanted to move Fabric and consulted with me if everything is ready in Fabric to perform the migraiton. I told them to stop until these non-lakehouse connection become dynamic. In the earlier project they had 14000 source servers. In my current one have about 98 since the undelrying schema is usually the same in SAS based it makes more sense to have dynamic connections from sources outside of lakehouse like in ADF. I have not tested copy data or lookup using python but I assume that may work.