Now, let's discuss the next Important Power BI Topic *Security and Data Governance in Power BI* Ensuring secure access to data and managing who sees what is critical in enterprise reporting. Power BI provides multiple layers of data security and governance. *1. Row-Level Security (RLS)* Purpose: Restrict data access for specific users based on their roles. *Types of RLS:* *a. Static RLS:* Hardcoded filters in Power BI. Example: A region manager only sees data from their assigned region. Configured manually in Power BI Desktop. *How to implement:* 1. Go to Modeling > Manage Roles. 2. Create a role and define filters like: [Region] = "East" *b. Dynamic RLS:* Access depends on the user login (email or username). More flexible; used when roles are stored in a separate table. *How to implement:* 1. Create a Users table mapping usernames to regions. 2. Use USERNAME() or USERPRINCIPALNAME() in DAX like: RELATED(Users[Username]) = USERPRINCIPALNAME() *2. Object-Level Security (OLS)* Purpose: Hide entire columns or tables from specific roles or users. Controlled in Tabular Editor or using XMLA endpoints. Useful when users should not even know that certain sensitive data exists (e.g., salary, cost columns). *3. Combining Row-Level and Object-Level Security* Yes, you can apply both at the same time. Example: A regional manager only sees their region's data (RLS), and does not see the "Profit" column (OLS). This layered security ensures users get only the data they’re authorized to access—nothing more. *Real-Life Governance Practices in Power BI* - Use Audit Logs to track report usage. - Enforce naming conventions, data lineage, and documentation for clarity and traceability. - Leverage Power BI Admin portal for tenant-wide policies and access control. *React ❤️ for the next topic explanations* Power BI complete topics: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c/769