1. Setup a project for your team
Projects use git flow to enable collaboration. Once you install
dbt, run dbt init, and push that to a Github repository.
Now, your whole team can access your data models.
2. Develop models in isolation
Each analyst can use dbt to build their own isolated copy of the
analytics schema. There's no need for your analysts to step on
each others' toes any longer.
3. Populate your warehouse
Use Sinter or cron
to keep your production data warehouse running the latest and greatest
version of your models.