With this procedure complete, the gateway is configured and ready to interact with your on-premises Analysis Services data source. For more information, see Manage your data source - Analysis Services. Once the gateway is correctly configured, you need to create a data source connection for your Analysis Services tabular instance. To allow the Power BI service access to your on-premises analysis service, you need an on-premises data gateway installed and configured in your environment. Once your tabular model is deployed and ready for consumption, you need to add a data source connection to your on-premises Analysis Services tabular server. Task 3: Add Data Sources within your On-premises data gateway Now you need to process and deploy the model. This formula specifies that all columns resolve to false meaning DimUserSecurity table columns can't be queried. Only rows where the SalesTerritoryKey value is in the IDs that the LOOKUPVALUE function returns are displayed.įor the DimUserSecurity table, in the DAX Filter column, add the following formula: =FALSE() The set of Sales SalesTerritoryKey's LOOKUPVALUE returns is then used to restrict the rows shown in the DimSalesTerritory. When using row-level security, the DAX function USERELATIONSHIP is not supported. In this formula, the LOOKUPVALUE function returns all values for the DimUserSecurity column, where the DimUserSecurity is the same as the current logged on Windows user name, and DimUserSecurity is the same as the DimSalesTerritory. In the DAX Filter column, type the following formula: =DimSalesTerritory=LOOKUPVALUE(DimUserSecurity, DimUserSecurity, USERNAME(), DimUserSecurity, DimSalesTerritory) You can then restrict queries to where the LOOKUPVALUE returned values match ones in the same or related table. The LOOKUPVALUE function returns values for a column in which the Windows user name matches the one the USERNAME function returns. Next, add the proper functions for both DimSalesTerritory and DimUserSecurity tables, as shown below under Row Filters tab. Under Members in the Role Manager, add the users that you defined in the DimUserSecurity table in Task 1. Select the Model menu in SQL Server Data Tools, and then select Roles. Once you've imported the necessary tables, you need to define a role called SalesTerritoryUsers with Read permission. Import all the necessary tables into the model as shown below. For more information, see Create a New Tabular Model Project. You can create the model using SQL Server Data Tools (SSDT). Once your relational data warehouse is in place, you need to define the tabular model. Task 2: Create the tabular model with facts and dimension tables For example, you can see that Rita Santos is responsible for Australia. The joined table shows who is responsible for each sales region, thanks to the relationship created in Step 2. 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.
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