AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
- Implement workspace roles, item permissions, and OneLake security roles to control data access in Microsoft Fabric.
In this module, you'll:
- Describe the Fabric security model and its layers of access control.
- Configure workspace roles and item permissions.
- Apply granular permissions using T-SQL and OneLake security roles.
- Learn the key concepts and strategies for protecting sensitive data in Microsoft Fabric data warehouses.
In this module, you'll:
- Identify the security layers available in a Microsoft Fabric warehouse.
- Describe how dynamic data masking obscures sensitive column values.
- Explain how row-level security restricts row access by user.
- Describe how column-level security controls access to specific columns.
- Explain how SQL granular permissions control access to warehouse objects.
- Implement Fabric-native governance practices including data classification, sensitivity labels, endorsement, and documentation to ensure data assets are trustworthy and governed for both human and AI consumption.
By the end of this module, you're able to:
- Apply data classification and sensitivity labels to Fabric items.
- Use endorsement (promoted, certified, and master data) as a governance mechanism.
- Implement documentation practices for data discoverability.
- Describe how governance controls affect AI agent data consumption.
- Use OneLake catalog features for data estate management.
