Good Practice: Use Security Groups in Role Mapping Instead of User Accounts in Power BI Row Level Security (RLS)

Good Practice: Use Security Groups in Role Mapping Instead of User Accounts in Power BI Row Level Security (RLS)

This article talks about the best practice to use security groups instead of user accounts in role mapping while implementing Power BI Row Level Security (RLS). The feature of RLS enables you to restrict data access for different users based on the filters defined within roles. For instance, through a sales manager role, administrators can give access to sales data to different sales managers as needed based on their regions. This way, you can ensure that sensitive data is only accessible to authorized users, and no one else.

However, the article suggests moving from the traditional model of using user accounts for role mapping to leveraging security groups. Security groups offer several benefits such as easier maintenance, reducing scope, and increasing efficiency. In implementing RLS, the article emphasizes the importance of the best-suited approach, which includes preparing the data model, creating a role and the corresponding filters, mapping the role to a security group for ease of management, and finally, testing the implemented RLS.

By summarizing these best practices, this article provides a more efficient and manageable way of implementing RLS for Power BI users, ensuring that data access is secure and available to authorized groups.

The post Good Practice: Use Security Groups in Role Mapping Instead of User Accounts in Power BI Row Level Security (RLS) appeared first on BI Insight.

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