Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Discover how to monitor data pipelines and ML models effectively using Databricks Lakehouse Monitoring in this 42-minute conference talk. Learn about the integration with Unity Catalog for tracking quality alongside governance, and explore continuous data profiling to stay ahead of potential issues. Gain insights into democratizing and establishing trust in your data through intelligent prevention of quality issues. Presented by Jacqueline Li and Kasey Uhlenhuth from Databricks, this talk demonstrates the simplicity of implementing monitoring for smoother pipeline runs and sustained ML model effectiveness. Explore additional resources on Data, Analytics, and AI Governance, and connect with Databricks through various social media platforms for more information.