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How can I decide whether to create calculations (e.g. calculated columns) in a dataflow (Power Query) or later in a dataset (DAX)? I've read several web pages about the dataflow/dataset topic, but I'm still not sure how to split the calculations. Is it just a matter of taste, or are there significant advantages and disadvantages for both variants?
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@tez
It is always better to keep the column at the source level, then think of PQ, failing that DAX.
Refer to: https://www.sqlbi.com/articles/comparing-dax-calculated-columns-with-power-query-computed-columns/
https://www.youtube.com/watch?reload=9&v=ZSUCmi6h5SY
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Hi @tez ,
Custom columns are created using the PowerQuery M Langauge and Calculated columns are created using DAX Expressions and are part of the data model.
In addition to the difference of language, you could take a look at the official document for further information.
As @Fowmy said, we usually prefer to create a custom column in Power Query for lower memory.
Did I answer your question ? Please mark my reply as solution. Thank you very much.
If not, please upload some insensitive data samples and expected output.
Best Regards,
Eyelyn Qin
@tez
It is always better to keep the column at the source level, then think of PQ, failing that DAX.
Refer to: https://www.sqlbi.com/articles/comparing-dax-calculated-columns-with-power-query-computed-columns/
https://www.youtube.com/watch?reload=9&v=ZSUCmi6h5SY
________________________
If my answer was helpful, please consider Accept it as the solution to help the other members find it
Click on the Thumbs-Up icon if you like this reply 🙂
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
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