Data Governance in Fabric for Modern Analytics

As organizations scale their data operations, maintaining trust, security, and compliance becomes a critical challenge. This text-based course guides you through the foundational principles of data governance within the Fabric environment, ensuring your data assets are clean, secure, and reliable. You will transition from managing disorganized data to implementing a structured, compliant governance framework that supports both business intelligence and modern AI applications. What you'll learn: Understand core data governance concepts and Fabric-native security architecture; Implement data classification and sensitivity labels to protect confidential information; Apply endorsement and certification workflows to promote trusted data assets; Document data lineage to track how information flows from source to consumption; Configure governance policies that prepare data for secure AI and machine learning integration; Practice auditing and monitoring data access to maintain continuous compliance. This comprehensive written guide starts with essential terminology and governance theory before walking you through step-by-step configuration scenarios. You will explore practical examples of setting up labels, managing permissions, and establishing data stewardship workflows. This course is designed for beginner data analysts, administrators, and compliance officers with no prior governance experience required. Start building a secure, transparent, and trustworthy data culture today.