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- Learn the key concepts and strategies for securing data access in Microsoft Fabric.
In this module, you'll learn how to:
- Describe the permissions model in Microsoft Fabric.
- Configure workspace and item permissions.
- Apply granular permissions.
- Learn the key concepts and strategies for protecting sensitive data in Microsoft Fabric data warehouses.
In this module, you'll:
- Learn the concepts of securing a data warehouse in Microsoft Fabric.
- Learn how to implement dynamic data masking to obscure sensitive information.
- Learn how to configure row-level security to provide granular control.
- Learn how to implement column-level security to protect sensitive data.
- Learn how to configure granular permissions using T-SQL.
- Learn how Microsoft Purview enables the comprehensive data governance for your Microsoft Fabric data lakes. Ensure that data is both tightly controlled and highly available for compliant analysis.
By the end of this module, you'll be able to:
- Describe the built-in data governance features of Microsoft Fabric.
- Justify adding Microsoft Purview for robust data governance and protection.
- Connect Microsoft Purview to Microsoft Fabric.
- Analyze Microsoft Fabric data in the Microsoft Purview hub.
- 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.
