22-25 April 2026 
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SQLBits 2026
dbt → Cube.js → Superset: Automating Semantic Layer & BI Sync
Learn how to automate a full semantic layer pipeline using dbt, Cube.js, and Superset. See how dbt-to-cube generates metrics, syncs them to BI tools, and eliminates manual metric duplication across dashboards.
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
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