Trust You Can Measure - Data Quality Standards in The Lakehouse

Learn how to systematically measure and establish data quality standards across your lakehouse architecture in this 41-minute conference talk from Databricks. Discover the challenges of managing data trust at scale when dealing with hundreds of thousands of tables without clear quality indicators. Explore how the Databricks Data Platform team developed the Data Governance Score—a comprehensive system for measuring and surfacing trust signals throughout their internal lakehouse infrastructure. Understand the practical implementation of Unity Catalog, governed tags, and enforcement mechanisms to drive better data decision-making at enterprise scale. Gain insights into leveraging systematic approaches to data governance that help identify reliable, well-governed, and safe-to-use datasets. Master techniques for raising data quality standards and building trust in your data ecosystem, whether you're working as a data engineer, platform owner, or business leader managing large-scale data infrastructure.