Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hi all
I have a table A with one column and one row containing one only value
This value is obtained by a sql query (so it's dynamic one)
I have a second table B. I want to add a new column in B which will contains the same value from each row. This value is the one in table A.
There is no relation between A and B, so I can't make a join in power query.
I guess there is a simple way to do this with the M language but I'm stuck
Thank you for your help
Regards
Marc
Solved! Go to Solution.
Hi Marc,
You can do it easily with DAX. If you want the Power Query solution, please refer to the snapshot below.
TableA[DateMax]{0}
Best Regards,
Dale
Can you post the sample date and expected table output for easy understanding?
Thanks
Raj
Hi here are an example
To start, I have this
| Table A |
| DateMax |
| 14/05/2018 |
| Table B | |
| Reference | Date |
| X | 05/01/2017 |
| Y | 01/04/2018 |
| Z | 15/01/2016 |
I need to add the value of DateMax in Table A for each row of Table B like this
| Table B | ||
| Reference | Date | DateMax |
| X | 05/01/2017 | 14/05/2018 |
| Y | 01/04/2018 | 14/05/2018 |
| Z | 15/01/2016 | 14/05/2018 |
The ultimate goal is to compute the number of days between the two dates (I know how to do this last part) :
| Table B | |||
| Reference | Date | DateMax | Days |
| X | 05/01/2017 | 14/05/2018 | 495 |
| Y | 01/04/2018 | 14/05/2018 | 44 |
| Z | 15/01/2016 | 14/05/2018 | 851 |
Thank you for your help
Regards
Marc
Hi Dale
That's wonderful, exactly what I needed 🙂
A great lesson learned today !
Best regards
Marc
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 23 | |
| 23 | |
| 21 | |
| 17 | |
| 13 |
| User | Count |
|---|---|
| 58 | |
| 51 | |
| 39 | |
| 29 | |
| 24 |