Don't miss your chance to take exam DP-600 or DP-700 on us!
Request nowLearn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi,
I'm struggling for some time on this problem. I have two fact tables with Event ID and Date. If the Event ID and Date from Table 2 are equal to those in Table 1, I can assume the event is the same so I need to extract the Location information from Table 2 to the same event in Table 1. If the event in Table 1 isn't in Table 2, Location information is left blank.
Can you help me to develop a DAX function to this new column which solves my problem?
Example:
Table 1:
| Event ID | Date |
| 1 | 04/03 |
| 1 | 04/01 |
| 5 | 04/01 |
| 12 | 04/01 |
| 12 | 04/02 |
Table 2:
| Event ID | Date | Location |
| 1 | 04/03 | A |
| 1 | 04/02 | B |
| 5 | 04/02 | A |
| 12 | 04/02 | C |
Desired Table 1:
| Event ID | Date | New column - Location |
| 1 | 04/03 | A |
| 1 | 04/01 | |
| 5 | 04/01 | |
| 12 | 04/01 | |
| 12 | 04/02 | C |
Thanks so much!
Solved! Go to Solution.
@Anonymous , Create a new column in table 1
New column - Location = maxx(filter('Table 2','Table 2'[Event ID] = 'Table 1'[Event ID] && 'Table 2'[Date]= 'Table 1'[Date]),'Table 2'[Location])
@Anonymous , Create a new column in table 1
New column - Location = maxx(filter('Table 2','Table 2'[Event ID] = 'Table 1'[Event ID] && 'Table 2'[Date]= 'Table 1'[Date]),'Table 2'[Location])
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 51 | |
| 40 | |
| 37 | |
| 14 | |
| 14 |
| User | Count |
|---|---|
| 85 | |
| 69 | |
| 38 | |
| 29 | |
| 27 |