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I've built a model in desktop using import and pushed the dataset up into service in order to use it as a golden dataset i.e. stop duplicating the dataset for dashboards. Building dashboards via directquery to this dataset works fine. However, changing the dataset is problematic due to it's size when making changes to the dataset. Therefore, I thought I would split the datamodel into two datasets and push them up to service so editing would be easier via desktop going forward. When I now create a composite model via directquery the visuals are failing (over 1m records error) despite the model and the relationships being identicle I dont get it, it's as if being a composite model it is less effiecient. See models:
Can anyone shed some light on why a visual using one attribute from broker and one attribute from policy would cause an error when they sit in two models joined as a composite? As shown the relationships etc are the same.
-UPDATE-
I've researched more and found the difference is that the composite model is using a cross source limited relationship. Anyone know how to solve this as it makes the composite approach a little pointless?
Hi @PaulRutt ,
See if the following ways of optimizing your model are helpful to you.
Data Modelling In Power BI: Helpful Tips & Best Pr... - Microsoft Power BI Community
If the problem is still not resolved, please provide detailed error information and let me know immediately. Looking forward to your reply.
Best Regards,
Henry
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
That doesn't realy help as the relationships are correct, they're just very large fact tables and the columns are all needed. Hence why I went down the composite route as one large model is too big for amending in desktop.
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