![]() So, the solution is this: First, you need to create one date table in a model which is not connected with any another table in Tabular Model, and the date type parameter table with required values in the model. This is tricky because you can’t have an option to create a table or columns in Power BI when the source is a tabular model. (We have multiple dates from multiple tables, such as invoice date, received date, submit date.) So, the requirement is that a user wants to select a Date Type and date, and the report will show data according to the selected date and type. I will take one example which is quite tricky and simple, and I have seen many questions related to this in the community. In the above DAX, we are displaying comma-separated slicer selected values. Group Name Display = if(ISFILTERED('Sub Group'),CONCATENATEX(ALLSELECTED('Sub Group'),'Sub Group',","),"All") The same thing can be done in Power BI using the below DAX. If you are familiar with SSRS you know about report criteria where we display all selected values inside a parameter. Now, we will check some tricky reports using a tabular model. SO, all the things related to Column and relationship have to be managed at the model side only.Ībove are some limitations using a tabular model as a source. ![]() As you can see, there is only a report tab and Create new column, and the manage relationship option is disabled. This is the first window you will see when you connect to Model. > Model -> Import from Data Sources -> Microsoft SQL Server -> Enter the Server Name and Database Name and click on Test connection to check the connection and Click on Next -> Service account user name and Password-> Select from list of tables and Views to choose data to import: Open Visual Studio -> Create New project -> Analysis Services -> Select Tabular -> Analysis Services Tabular Project. SO, let’s get started with the tabular model. Using those roles, we can add some security to our data model. We have a roles option in the tabular model. If you use a tabular model, you can improve the performance of your report. So, a better choice is creating a tabular model and creating relationships in the model itself using require tables. If the data is more than 1 GB, we have two options: One is Direct Query, and another is a live connection.īut, still, again, when we use direct query, we have to deal with performance issues. Power BI has limitations on importing data that is a maximum size of 1 GB. In this blog, we are going to discuss a live connection using a tabular model in Power BI, when to use a tabular model as a source and what the limitations are when we use a tabular model as a source in Power BI.
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