Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi there,
I'm seeking your help on how we can creating a new column that combines value from multiple columns from different tables.
In particular, I have at least 2 tables, for example
Table 1:
Customer Name | ID | DOB
A
B
C
Table 2:
Customer Name | ID | Address
A
B
E
F
Expected result: I wanna have the list of unique Customer name from Table 1, Table 2 as well as other tables as below
Customer Name
A
B
C
E
F
Thank you for your help!
Solved! Go to Solution.
Hello @duycao
You can create a calcualted table that give you the unique list from both tables like so.
Combined Table =
DISTINCT(
UNION(
DISTINCT(Table1[Customer Name]),
DISTINCT(Table2[Customer Name])
)
)
You can continue to add the additional source tables in this one calculation.
Combined Table =
DISTINCT(
UNION(
DISTINCT(Table1[Customer Name]),
DISTINCT(Table2[Customer Name]),
DISTINCT(Table3[Customer Name]),
DISTINCT(Table4[Customer Name]),
DISTINCT(Table5[Customer Name])
)
)
Hello @duycao
You can create a calcualted table that give you the unique list from both tables like so.
Combined Table =
DISTINCT(
UNION(
DISTINCT(Table1[Customer Name]),
DISTINCT(Table2[Customer Name])
)
)
You can continue to add the additional source tables in this one calculation.
Combined Table =
DISTINCT(
UNION(
DISTINCT(Table1[Customer Name]),
DISTINCT(Table2[Customer Name]),
DISTINCT(Table3[Customer Name]),
DISTINCT(Table4[Customer Name]),
DISTINCT(Table5[Customer Name])
)
)
Hi there, this works perfectly. Thank you!
Hi @duycao ,
If your problem has been resolved, could you please mark the helpful post as Answered? It will help anyone in the community find the solution easily if they face the same problem with you. Thank you.
Best Regards
Rena
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
107 | |
99 | |
76 | |
64 | |
58 |
User | Count |
---|---|
148 | |
113 | |
97 | |
84 | |
67 |