Explore a comprehensive framework for implementing robust data governance in Databricks cloud environments through this 27-minute conference talk. Learn essential governance principles and scalable automation strategies that balance innovation with regulatory compliance, security requirements, and operational efficiency. Discover best practices for managing metadata, controlling data access, organizing catalogs, implementing classification systems, ensuring data quality, and maintaining lineage tracking across your unified analytics and AI platform. Gain practical insights from General Motors' Staff Data Engineer Johnathan Powell and Enterprise Data Governance Principal Sherri Adame as they share real-world approaches to building a governed data cloud that enables organizations to leverage Databricks effectively while maintaining strict control and compliance standards.