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🔄 Integrate Snowflake and Databricks semantic layers

new feature

If a Snowflake semantic view or a Databricks metric view already holds governed dimensions and measures, you can sync it into Holistics to build dashboards, implement embeds, and enable users to self-serve, without maintaining a duplicated definition.

At a high level, a Snowflake semantic view or a Databricks metric view syncs into Holistics as a Table Model. Once synced, you can add the model to a dataset to build dashboards and embedded analytics.

Integrate Snowflake and Databricks semantic layers
  • Databricks metric view / Snowflake semantic view — Dimensions and measures already governed in Databricks or Snowflake
  • Holistics
  • Model — Dimensions, measures, descriptions, and labels detected and synced automatically
  • Dataset — Add the synced model to a dataset to use it in reports
  • Dashboards
  • [HTML node]
  • warehouse-view → model
  • model → dataset (add to)
  • dataset → dashboards (build)

Learn more​