Previously streamed live at MDS Fest
Empowering dbt Developers: Self-Serve dbt Cloud Scheduling from your dbt repo, a talk by Pádraic Slattery, Analytics Engineer, Xebia Data
Talk Description
I work as an Analytics Engineer for a data consultancy, as part of this work I frequently help clients to orchestrate dbt Cloud. As a result I’ve seen a lot of pain points that are encountered when doing this while at the same time I’ve seen a lot of different approaches to overcoming these pain points. I’d like to share an open-source package that resulted from these experiences.Typical approaches to version controlling dbt Cloud jobs involve either Terraform or in-house scripts that call the dbt Cloud API. Neither of these approaches encourages self-serve scheduling by the people that actually develop dbt models. Recently I helped a client to schedule dbt Cloud jobs using YML files that live in the same repo as their dbt project.
