Data & Semantic Layer

Configure the data and semantic layer in Statsig Warehouse Native, including dbt and Looker integrations for reusing existing metric definitions.

In Statsig Warehouse Native, you configure metrics, experiments, and other schematized data objects that let Statsig run analysis on top of your warehouse. Together these definitions form a lightweight semantic layer that can integrate with tools like Cube or in-house YAML-based stores.

SDK exposures flow from your application into the Statsig warehouse as experiment and feature gate exposures, then into an assignments table in your warehouse. That table, which can also receive in-house assignments, and your metric source tables and queries both feed the Stats Engine, which runs experiment reloads and Metrics Explorer in your warehouse. SDK exposures flow from your application into the Statsig warehouse as experiment and feature gate exposures, then into an assignments table in your warehouse. That table, which can also receive in-house assignments, and your metric source tables and queries both feed the Stats Engine, which runs experiment reloads and Metrics Explorer in your warehouse.

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