Session
Monitor Data and AI Quality at Scale With Data Intelligence Powered by Unity Catalog
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data and AI Governance |
Industry | Enterprise Technology |
Technologies | Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
Delivering trusted, high-impact data and AI requires more than basic checks — it demands intelligent, automated quality monitoring. In this session, discover how quality monitoring scales with Unity Catalog and brings data intelligence to all your assets. Learn how Lakehouse Monitoring, anomaly detection, data classification, and Lakeflow come together to provide end-to-end visibility into the health of your data and AI pipelines. Discover how you can shift from reactive firefighting to proactive, scalable quality monitoring across your entire data estate.
Session Speakers
IMAGE COMING SOON
Jacqueline Li
/Associate Product Manager
Databricks