Lakehouse Monitoring GA: Profiling, Diagnosing, and Enforcing Data Quality with Intelligence
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Governance |
TECHNOLOGIES | Databricks Experience (DBX), AI/Machine Learning, Governance |
SKILL LEVEL | Intermediate |
DURATION | 40 min |
Databricks Lakehouse Monitoring allows you to monitor all your data pipelines and ML models – without additional tools and complexity. Integrated into Unity Catalog, teams can track quality alongside governance, building towards the self-serve data platform dream. By continuously assessing the profile of your data, Lakehouse Monitoring allows you to stay ahead of potential issues, ensuring that pipelines run smoothly and ML models remain effective over time. We will show you how simple it is to start using monitoring and intelligently prevent quality issues. Join us to discover how Lakehouse Monitoring can help your organization democratize and establish trust in your data today.
SESSION SPEAKERS
Kasey Uhlenhuth
/Sr. Manager, Product
Databricks
Jacqueline Li
/Associate Product Manager
Databricks