Summary
The dbt project has become overwhelmingly popular across analytics and data engineering teams. While it is easy to adopt, there are many potential pitfalls. Dustin Dorsey and Cameron Cyr co-authored a practical guide to building your dbt project. In this episode they share their hard-won wisdom about how to build and scale your dbt projects.
Announcements
Hello and welcome to the Data Engineering Podcast, the show about modern data management
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Your host is Tobias Macey and today I'm interviewing Dustin Dorsey and Cameron Cyr about how to design your dbt projects
Interview
Introduction
How did you get involved in the area of data management?
What was your path to adoption of dbt?
What did you use prior to its existence?
When/why/how did you start using it?
What are some of the common challenges that teams experience when getting started with dbt?
How does prior experience in analytics and/or software engineering impact those outcomes?
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