From a Unity Catalog Page to a trusted Genie answer: the dltHub on Databricks walkthrough

dltHub’s private preview integration with Databricks Unity Catalog Pages and Genie Ontology aims to keep business definitions, data pipelines, semantic models, metric views, and AI-generated answers aligned through a shared governed source of truth. Using CI spending and “waste” in GitHub Actions as an example, the walkthrough defines waste as paid jobs whose outcomes were unused, such as jobs rerun before completion, cancelled, or timed out, rather than simply failed jobs. A dltHub agent reads definitions stored in Unity Catalog Pages via Genie, asks users to clarify gaps, records business rules, builds and validates ingestion pipelines, generates data models and metric views, and deploys these assets into Databricks under existing access controls. Genie then uses the resulting metric view to answer questions while citing the underlying definition, and dltHub’s background agent can diagnose pipeline failures and propose fixes for human approval. The approach emphasizes centralized governance, reviewable code, validation against stated rules, and human oversight for changes, with the private preview available to dltHub and Databricks customers.

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