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Deepak RawatPosted Jul 26, 2023, 2:37 PM
Microsoft Power BI is a popular tool for creating interactive data visualizations and reports. In Power BI, you can configure security at three levels: Row level, Column level, and App level. These security configurations allow you to control access to data and ensure that users only see the data they are authorized to view.
Row-level security (RLS): Row-level security restricts access to specific rows of data in a table based on the user's credentials or roles. With RLS, you can define rules that filter data based on user context. This means that different users may see different subsets of data from the same table.
To configure Row-level security in Power BI:
Column-level security: Column-level security allows you to restrict access to specific columns in a table based on user roles. This is useful when you want to hide sensitive or confidential data from certain users.
To configure Column-level security in Power BI:
App-level security: App-level security controls access to entire dashboards, reports, and datasets in a Power BI app. You can create different roles for the app and assign users to those roles. Each role can have different permissions, such as read-only access or edit access.
To configure App-level security in Power BI:
configuring security in Power BI requires an understanding of DAX (Data Analysis Expressions), especially when defining RLS and column-level security rules. It's crucial to carefully design and test these security configurations to ensure that the right users have appropriate access to the data and reports.