![]() If I do the import mode and select the 4 fields from the two different tables, it automatically merge everything in one table and I get the expected result, but the problem is that the amount of data is huge and I want use your "evaluate" function to filter this prior to import but if I use it for filtering the Invoicing table by date, then I'm not able to select columns from other tables so I guess I should find a way of adding the columns from the DAX itself. These development efforts include complex and advanced features such as the new composite models. Thanks to these tools, Microsoft can focus its development effort on features that can widen the adoption of Power BI to a broader audience. Even though there are different tools to manipulate these models we suggest using Tabular Editor the underlying concepts are identical because the engine and the data model is the same: we call it the Tabular model. They are related by an ID in the Tabular model but it is hidden and not imported in Power BI so I cannot replicate that relation. The three most established tools are DAX Studio, Tabular Editor, and ALM Toolkit. Power BI and Analysis Services rely on a semantic model based on the Tabular Object Model (TOM). One is let's say the main Billing Table with a list of Invoices #, Dates and amounts, the second table is the Business Unit for each invoice. It allows developers to write code in terms of a intuitive programming model that includes classes like. NET library that provides an abstract layer on top of the XMLA endpoint. NET application to create and modify datasets directly in the Power BI Service. The thing is that now I'm interested in importing two different tables from my SSAS Tabular model. NET developer, you can now write C code in a. ![]() Hi found your solution for filtering an import from SSAS in import mode and really solved one of my main current issues. ![]()
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