Forum Discussion
Need to secure a table - thoughts on how?
- 1 year ago
Hello Bshin
OneLake Data Access Roles provide folder-level access control within your lakehouse:
Create a custom role for your sensitive data
Assign this role to the specific folder containing your sensitive table
Add only your 3-4 privileged users to this role
Ensure these users aren't also assigned to the DefaultReader role (which grants access to all folders)
https://data-mozart.com/understanding-data-access-options-in-microsoft-fabric/Be aware that implementing RLS, OLS, or CLS on the SQL analytics endpoint will cause Power BI queries in Direct Lake mode to fall back to Direct Query mode
Users with write access (Admin, Member, Contributor roles) aren't restricted by OneLake data access roles - they retain full access to data in OneLake
For complete isolation, consider creating a separate workspace for this sensitive data, as OneLake data access roles currently only apply to users accessing OneLake directly
There is lots of documentation on this topic. Please read through that
https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-sharing
https://learn.microsoft.com/en-us/fabric/data-warehouse/security
https://databear.com/control-access-microsoft-fabric-lakehouse/
make sure to understand the difference between Lakehouse tables and Lakehouse SQL Endpoint tables.