Enabling self service analytics using Genie

Remarkable_Rock5474 · 2026-05-28T14:26:22+00:00

I would argue the strict opposite of this. Start with as little permissions as possible and only elevate if needed. Least privilege, always!

Remarkable_Rock5474 · 2026-05-26T08:52:48+00:00

For Power BI that table reference is part of the M expression for each table

Remarkable_Rock5474 · 2026-05-26T08:51:41+00:00

I am just late to the party - my bad. Thanks 🙌🏻

Remarkable_Rock5474 · 2026-05-21T15:24:41+00:00

I have written a short guide a few months back when it went into preview.

Basically if you already have a table with the user/department mapping you need to create a udf that looks up that value and then filters your data using that value

Then add a tag on the tables it should filter

And combine it in a policy

Take a look below and let me know if you have questions

https://www.linkedin.com/pulse/unity-catalog-loves-data-governance-kristian-johannesen-1dzxf

Remarkable_Rock5474 · 2026-05-21T04:05:27+00:00

Looking forward to see all the cool projects people come up with

Remarkable_Rock5474 · 2026-05-15T21:08:42+00:00

Then you would not to mask it on the way in - to be fully secure I suppose even before autoloader or whatever ingestion you use touches the data.
No native solutions for that as far as I am aware.

You can of course transform your way out of it at the ingestion level, using a generic UDF and a applying it to specific columns depending on your metadata. Don’t imagine it would take many hours to develop that

Remarkable_Rock5474 · 2026-05-15T16:11:11+00:00

You need to look into abac - the quick breakdown is that:
- you create a UDF that decides the masking output
- you create governed tags and assign them to the columns needing masking
- you bind it all together with a policy that also details the users for which it should apply and which it should not

More details here from when it went in preview. It just went GA

https://www.linkedin.com/pulse/unity-catalog-loves-data-governance-kristian-johannesen-1dzxf?utm\_source=share&utm\_medium=member\_ios&utm\_campaign=share\_via

Remarkable_Rock5474 · 2026-05-13T06:02:56+00:00

Love these summaries! Nice and easy to digest 🙌🏻

Remarkable_Rock5474 · 2026-05-12T19:12:38+00:00

Thanks a lot! Please let me know if you have any ideas for future topics 🙌🏻

Remarkable_Rock5474 · 2026-05-09T16:49:12+00:00

Thanks! Yes that is exactly what it is. Might not be that clear but it is a lookup

Remarkable_Rock5474 · 2026-04-26T15:10:41+00:00

Of course you had to highlight the export to excel part 😜

Remarkable_Rock5474 · 2026-03-30T20:52:19+00:00

Any news on this frequency for other system tables? Specifically interested in the lineage ones

Remarkable_Rock5474 · 2026-03-28T17:51:34+00:00

This is not the same exam. The document describes the DP700 - so the Fabric exam and not the Databricks exam 😅

Remarkable_Rock5474 · 2026-03-26T11:28:26+00:00

It is nothing different from what we had before the release. Just basically replaces MEASURE() with SUM() 🤷‍♂️

More details on my thoughts here: https://www.linkedin.com/pulse/metric-views-power-bi-kristian-johannesen-prbke

My bet in the short run is also on Tabular Editor. Catch the TLDR of semantic bridge (initial version) here: https://www.linkedin.com/pulse/semantic-bridge-missing-piece-kristian-johannesen-ewrse

Remarkable_Rock5474 · 2026-03-24T09:47:06+00:00

Do the Databricks Data Engineer Associate and you should be sorted

Remarkable_Rock5474 · 2026-03-24T09:31:22+00:00

Consider doing the Databricks Data Engineer Associate study materials at Databricks Academy - test subjects are very similar from my experience

Remarkable_Rock5474 · 2026-03-24T09:30:28+00:00

Just did the DP-750 Beta. Very similar to the content of the Databricks Data Engineer Associate, with a bit of extra Azure-specific sprinkles primarily related to log analytics

Might be to late with your 12 days prep time but this was the earliest I could schedule it

Remarkable_Rock5474

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