When running dbt in CI, there are lots of reasons you might want to generate a complete dataset. Most notably for Spectacles users, complete dbt CI datasets allow you to use Spectacles to test whether your dbt changes are going to break Looker or not.
Historically, depending on how you were running dbt, generating these complete datasets could be a pain. You don't want to run a full "dbt run" because that will waste resources, but doing a "slim CI dbt run" means you also need to find a way to generate all the unaffected tables and view.
Enter the new "dbt clone" command, which solves all these problems for you. In this webinar, we'll discuss the pain points of the old methods and demonstrate how the new "dbt clone" command can help you. We'll also dig into how this magical command works for each warehouse and what that means for you.
