@brett It’s possible with a few tricks: you can use “meltano schedule” with “--transform=only”, but you’ll still need to provide a rap and target name since those determine the model to run and warehouse configuration to use. But you can override the model using the “DBT_MODELS” environment variable, which you can manually add to the schedule definition in meltano.yml under an “env” key. That part is definitely documented :) It’d look like:
schedules:
- name: dbt-job
extractor: tap-dummy
loader: target-snowflake
transform: only
env:
DBT_MODELS: my-model