Data profiling (formerly Lakehouse Monitoring)
GALast seen at this status: 2024-06-13·Jun 2024
Data profiling computes summary statistics and drift metrics over time for Unity Catalog tables, including inference tables that hold model inputs and predictions, so teams can track data quality and model performance and get alerts when they change. Formerly called Lakehouse Monitoring, it is part of Data quality monitoring in Unity Catalog.
Status history
- GA
Sources (2)
- 2026-04-22Databricks Blog
- 2024-06-13Release notes GA
Recent coverage
- 2026-10-30Automatically Route Every Task to the Right Model with Unity Gateway video
- 2026-10-30Preparing a CFO performance review with Genie One on Databricks | Genie Demo video
- 2026-10-29v1.13.0 release
- 2026-10-29Creating a Digital Twin with Spark Real-Time Mode and Lakebase video
- 2026-10-28Voice Agents are here. Context turns them into real customer value. news
- 2026-10-27BigQuery to Databricks: A Strategic Framework news
Status and dates are extracted from public sources only. We don't see the private AE-shared roadmap. If something looks wrong, tell us.