Row Level Security (RLS) is a crucial feature in Power BI that helps users control data access at a granular level. By defining rules for data access, RLS enables users to ensure that each user can access only the data they need to perform their job duties. There are two types of RLS: Static and Dynamic, each with its advantages and use cases. 

Advantages of Using RLS 

Static Row Level Security 

Static RLS is a fixed set of rules that determines which data users can see. 

Use Cases for Static RLS: 

Dynamic Row Level Security 

Dynamic RLS is based on a user’s role or identity and can change dynamically based on the user’s actions. 

Use Cases for Dynamic RLS: 

Define RLS in Power BI

Manage Roles - Power BI

Note: The above setup procedure is for Static RLS. In the case of Dynamic RLS, the user cannot be assigned to any role, so we will use the username() or userprincipalname() DAX functions after properly configuring the relationships in the model. 



Row Level Security (RLS) in Power BI offers improved data security, accuracy, and management. It allows users to control data access at a granular level, ensuring that individuals can only access the necessary data for their roles. RLS simplifies data management and reduces the risk of data breaches and errors. With Static and Dynamic RLS options, users can restrict access to sensitive data, personalize data views, and grant different levels of access based on roles or user attributes. Implementing RLS involves defining roles and associated DAX expressions. 

Overall, RLS in Power BI enhances data security, integrity, and management, allowing users to make informed decisions while ensuring the privacy of sensitive information. 

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