Validate Databricks tables and semantics so AI agents query a real dictionary, not a guess.
What Human Delta does with Databricks
- Human Delta crawls Databricks schemas, models, and lineage to surface every field that lacks a definition, every metric defined twice, and every dashboard built on assumptions nobody documented.
- Convert raw Databricks schemas into validated entities with definitions, ownership, and lineage—queryable by AI without hallucinating column meaning.
- AI agents, text-to-SQL tools, and BI copilots query Databricks through a single semantic layer that returns answers, not guesses.
- New tables, renamed columns, and dropped models all retune the semantic layer automatically. AI never queries a definition that no longer exists.
How it works
- 01Connect the source—paste a URL or use an OAuth connector.
- 02Human Delta indexes every page, article, and record, then runs the audit.
- 03Review findings in hours. Approve fixes. Ship validated knowledge to your AI.