We said I do. Now, we’re joined at the DAG
dbt Labs product manager Roxi Pourzand demoed what changes when Fivetran and dbt's metadata finally connect end to end, from raw source to BI dashboard.
Overview
Explores how Fivetran and dbt together create unified lineage answering where data came from, what happened to it, and who's using it, enabling cost visibility tied to usage, downstream PII governance, impact analysis beyond dbt, and AI agents with full pipeline visibility.
What you'll take away
- 01
Now that Fivetran and dbt Labs are one company, their metadata can finally connect end to end: from a source system in Stripe, through Fivetran ingestion and dbt transformation, to the dashboard that consumes it.
- 02
A live demo traced one "invoices" model all the way from its Stripe source to its downstream dashboard in a single graph, something that used to require stitching together separate tools.
- 03
That complete lineage graph is a means to four concrete workflows: pipeline cost visibility, tracking sensitive data as it propagates downstream, early warning on breaking changes, and smarter job scheduling.
Session speaker
Roxi Pourzand
dbt Labs