A nonprofit's journey: we walked so dbt could run
What happens when a scrappy, tactical SQL warehouse meets its ceiling? For our nonprofit, it meant rethinking everything: from a monolithic, waterfall SQL setup where adding a single new table was a major undertaking, to a dbt-powered data platform built for scale.
This session traces the journey: what we learned, what we're still figuring out, and why the modularity and reusability of dbt is already changing how we ask questions of our data. If your organization is still in the walking phase, this one is for you.
Check out more sessions
- Breakout session
From first models to AI-powered maturity: scaling data engineering with dbt at Verisk Underwriting
Mateusz Geca / VeriskVijay Singh / Verisk Analytics1 more speakerView session - dbt Product
The next wave of data infrastructure is in the Lake
Russell Christopher / dbt LabsCasey Karst / FivetranView session - Breakout session
From prompt to PR: sandbox-validated dbt changes before human review
Niyazulla Khan Pathan / CareemAkash Srivastava / CareemView session
