Data Governance, Catalog & Protection

О курсе

Learn how to govern, catalog, and protect enterprise data through this comprehensive course in the Data Engineering Skill Path. You will develop essential competencies in metadata-driven validation, data catalog automation, auditing workflows, schema verification, and the application of security and privacy controls across data platforms. Through hands-on practice with IBM automation tools, Google ETL validation methods, Microsoft security frameworks, and generative AI–driven protection techniques, you will learn to ensure data quality, compliance, and safe usage across the organization. This course brings together expert perspectives from IBM, Google, and Microsoft, guiding you through the full governance lifecycle from metadata ingestion and automated auditing to security controls, audit log monitoring, and sensitive data protection. You will progress from foundational troubleshooting and catalog processes to advanced validation frameworks, data dictionary alignment, compliance auditing, and AI-powered masking and de-identification. Ideal for aspiring data governance specialists, data engineers, and analytics professionals, this course equips you with the practical skills needed to responsibly manage and safeguard data in modern, distributed ecosystems.

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