dbt → Cube.js → Superset: Automating Semantic Layer & BI Sync

Manually rebuilding metric logic across multiple BI tools is one of the most persistent pain points in modern data engineering. In this session, we’ll walk through an automated dbt → Cube.js → Superset pipeline that keeps your semantic layer and BI datasets fully in sync—without touching a dashboard or writing schema files by hand.
You’ll see how a small open-source tool, dbt-to-cube, generates Cube.js schemas directly from dbt and pushes them to Superset (or Tableau/PowerBI), creating a unified, version-controlled semantic layer that updates automatically as your models evolve.
We’ll explore the architecture, live examples, and practical lessons learned from building this workflow.

Full blog post / reference: https://newsletter.ponder.co/p/dbt-cubejs-superset-automating-semantic

- Understand how to automate metric and dataset propagation from dbt → Cube.js → BI tools. - Learn how dbt-to-cube generates semantic models and keeps BI platforms in sync automatically. - Walk away with a reproducible setup (local or production) for maintaining a unified semantic layer with zero manual rework.