Unlock Trusted, AI-Ready Analytics with Tableau and dbt
Modern data teams rely on trusted data to move faster, scale insights, and deliver business value. Tableau and dbt work together to bridge the gap between data engineering and analysis so that teams can leverage their upstream data pipelines directly within their cloud analytics environment.
With Tableau and dbt, organizations can:
- Establish a single source of truth with verified, modeled data in dbt.
- Automatically surface data lineage and metadata in Tableau for increased trust and transparency.
- Empower analysts to explore governed, trusted data defined in dbt’s Semantic Layer.
- Speed up AI-powered insights by ensuring the underlying data is curated, governed, and trusted.
Quick Tips: dbt + Tableau in Action
Watch these short videos directly from our product experts to help you get the most out of using dbt and Tableau together. Learn setup, best practices, and more tips in under 5 minutes.
See how exposures map your Snowflake models to Tableau workbooks to instantly understand downstream production impacts.
Learn how combining the dbt and Tableau MCP servers creates a single, streamlined conversational workflow across both platforms.
