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We are working on a client project where they have created a tabular model. We have only read access to this model and we are asked to do analysis on Profitability metric and develop powerbi report using this model. We will have to create new measures and write some level of DAX during development.
I understand we can create report level measures during report development in powerbi desktop. Is there any limitation/performance issues doing this way than writing measures in the existing tabular model? what is the recommended approach? Need Help here experts..Please advise. Thanks in advance!!
Solved! Go to Solution.
("report level measures" - that's not really a thing. Measures are applied to datasets, not to reports.)
If you write your measures in the tabular model you can be sure that they work as designed, and that users (developers/contractors) cannot mess them up. At the same time this may rob said users (developers) of the flexibility to roll their own version of the measures (if you decide to hide the underlying fields).
General guidance is to apply transforms as high upstream as possible, but not higher.
("report level measures" - that's not really a thing. Measures are applied to datasets, not to reports.)
If you write your measures in the tabular model you can be sure that they work as designed, and that users (developers/contractors) cannot mess them up. At the same time this may rob said users (developers) of the flexibility to roll their own version of the measures (if you decide to hide the underlying fields).
General guidance is to apply transforms as high upstream as possible, but not higher.
Ehm, not true.
Report level measures are indeed a thing when you connect a Power BI report live to a SSAS database.
Report level measures are stored in the PBIX, alas not easy accessible programmatically.
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