Hi everyone,
I have a dataset which is an SQL table imported via a DirectQuery. I'd like to create a few basic measures based on the imported data (such as adding 10 to each item in a specific column).
My problem is that I'd like to not have to remake my measures when I use different datasets. For example, I could have one dataset per city and I'd like to create the same measures for each city (all of the datasets are in the same format). I don't want to make these measures manually for each (because all measures are the same) so I'm looking of a more modular approach.
What I'm thinking is that I create a dataset which contains a reference to my original dataset that I can modify and add measures to. And then when I wish to change the dataset, I can simply change the reference so all of my measures remain, but the reference dataset is different.
Is there a way to do this in BI Desktop? Or alternatively is there a better way to achieve what I'm after?
Perhaps I could even have a dataset containing my measures which takes a dataset as an argument? So that my measures (constant functions) output the correct values based upon the input dataset?
Any help would be much appreciated,
Many thanks.
@boddydan You should be able to create a dataset that is a composite model of the DirectQuery source and some other import Power BI dataset that would just contain your measures: Use composite models in Power BI Desktop - Power BI | Microsoft Docs
Come together to explore latest innovations in code and application development—and gain insights from experts from around the world.
Put your data visualization and design skills to the test! This exciting challenge is happening now through May 31st!
User | Count |
---|---|
389 | |
103 | |
66 | |
54 | |
49 |
User | Count |
---|---|
372 | |
120 | |
82 | |
68 | |
57 |