Fabric is Generally Available. Browse Fabric Presentations. Work towards your Fabric certification with the Cloud Skills Challenge.
Dear DAX Experts!
I am new to Power BI DAX and I would need your help!
I need to find a way to bring data stored in table "DIM 2" to the table "FACT 1".
Both tables are not directly linked. Our data model looks something like this:
I have tried the RELATED function, but this only works for DIM 1, which is directly linked to FACT 1.
Is there any function that would solve the above scenario?
Thank you in advance for any guidance!
Hi @tamerj1 , Sorry, not sure I underestand the question.
I am trying to create a calculated column in table FACT1, containing a column in DIM2. The calculated column has to be stored in FACT1. The question is whether there is a "smart" function in Power BI that allows this, such as RELATED (which is not working for this scenario).
@joreghi
Can you please provide an example? A simple sample data along with the expected result and the logic behind it.
Hi @tamerj1
I have created a quick power bi example, so the expected result is to have the Col1 from DIM2 as a calculated column in FACT1.
The file can be accessed here : https://drive.google.com/file/d/1eHck0Z4W9tpIeak4-AmHQh8qUuNExp7W/view?usp=share_link
In advance, thanks a lot for your time!
Hi @tamerj1
I have created a quick power bi example, so the expected result is to have the Col1 from DIM2 as a calculated column in FACT1.
The file can be accessed here : https://drive.google.com/file/d/1eHck0Z4W9tpIeak4-AmHQh8qUuNExp7W/view?usp=share_link
In advance, thanks a lot for your time!
Calc Column DIM2 =
CALCULATE (
SELECTEDVALUE ( DIM2[Col1] ),
CROSSFILTER ( FACT1[SK_COMMONDIM], COMMON_DIM[SK_COMMONDIM], BOTH ),
CROSSFILTER ( FACT2[SK_DIM2], DIM2[SK_DIM2], BOTH )
)
However, this is not conclusive as one row is not sufficient to verify the data structure of a table.
Check out the November 2023 Power BI update to learn about new features.
Read the latest Fabric Community announcements, including updates on Power BI, Synapse, Data Factory and Data Activator.