![]() select b.SalesTerritor圜ountry, b.SalesTerritoryRegion, a.EmployeeID, a.FirstName, a.LastName, a.UserName from. The SQL code here does the inner join, and the image shows how the table then appears. Next, do an inner join with the DimSalesTerritory table, which shows the user associated region details. You'll see these users in upcoming tasks. Once you've added users, the DimUserSecurity table should appear similar to the following example: Right-click DimUserSecurity and select Edit Top 200 Rows. ![]() When done, save the table.Īdd users to the table. Then select Table Designer > Relationships. In SSMS, right-click DimUserSecurity, and select Design. Once you create and save the table, you need to establish the relationship between the DimUserSecurity table's SalesTerritoryID column and the DimSalesTerritory table's SalesTerritoryKey column, as shown below. You can use SQL Server Management Studio (SSMS) to create the table. In AdventureworksDW2012, create the DimUserSecurity table as shown below. The steps here require using the AdventureworksDW2012 relational database. For our sample, we use Implement Dynamic Security by Using Row Filters. You can find many articles describing how to define row-level dynamic security with the SQL Server Analysis Services (SSAS) tabular model. ![]() Task 1: Create the user security table and define data relationship This tutorial requires the AdventureworksDW2012 database. Share the dashboard with your coworkers.Create a new dashboard based on the report.Build a Power BI Desktop report that displays data tailored to the user accessing the report.Deploy the model to an Analysis Services tabular instance.Build the tabular model with necessary fact and dimension tables.Create a new security table in the AdventureworksDW2012 database.Using a sample dataset to work through the steps below, this tutorial shows you how to implement row-level security in an on-premises Analysis Services Tabular Model and use it in a Power BI report. ![]()
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