March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
I have a source spreadsheet with three columns.
Column A contains a list of table names, Column B and C are mapping/conversion fields for those tables.
Example snipett:
e.g. Dimension table contains DimensionTitle field which is named "Title" on the system
My task is to create a conversion table to automatically rename those columns, however rather than do this manually for each table, I wondered if there's a way to use the values in Column A to automatically convert the spreadsheet into as many tables as there are unique values?
Solved! Go to Solution.
You cannot dynamically add queries in Power Query.
You cannot dynamically add queries in Power Query.
"You can't dynamically ... in Power BI/Query"
I'm coming from Qlikview/Sense universe and finding many answers like that...
So I'm thinking that Qlik isn't too bad as I used to say
Wait until you try to create dynamic buckets 🙂
I suspected so but thanks for confirming!
Hi, @Anonymous ;
Try to create a new table by dax.
new =
VALUES ( 'table'[column] )
Or
new =
SUMMARIZE ( 'table', [column1], [column2] )
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi there thanks for your reply. Unfortunately I need to do this in power query not in the data model. I will resort to some VBA to split out the excel table into multiple tabs instead.
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.
User | Count |
---|---|
21 | |
16 | |
13 | |
12 | |
9 |
User | Count |
---|---|
36 | |
31 | |
20 | |
19 | |
17 |