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I'm sure there is a simple solution to this question, but everything I've found deals with renaming an entire column or replacing values within the table itself.
Problem: I have an ETL tool that extracts data to Google BigQuery. The column names in the source data are dynamic dates, as this is time series financiancial data. When the data goes into BigQuery, the column names get reformatted. For instance, "4/18/2020" becomes "_4_18_2020". I need to be able to rename the columns back to the source format so the dates work with my DAX functions.
I have explored Table.ColumnNames but can't seem to figure out how to use that function to convert the column formats to "MM/DD/YY" and I can't seem to find the answer online.
Any thoughts would be greatly appreciated.
Solved! Go to Solution.
Hi @Anonymous
you should use "Unpivot other columns" to push your dates into column values.
Then do simple text replacements.
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Hi @Anonymous
you should use "Unpivot other columns" to push your dates into column values.
Then do simple text replacements.
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
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