3.3 Productionalizing your dbt project

When moving from building your pipeline, to *using* your pipeline, you'll want to put some production guardrails in place to make sure things run smoothly.

In this section, we'll learn about using Github to store your SQL models, running your data models on a timer using Sinter, and generally keeping your pipeline running smoothly.
3.3 Productionalizing your dbt project
3.3.1 Intro to productionalizing your pipeline
2 mins
3.3.2 Using dbt cloud to run your SQL models on a schedule
5 mins
3.3.3 Scheduling your data pipeline orchestrations
5 mins
3.3.4 Testing changes to your data pipeline
3 mins
3.3.5 QCing data using Supermetrics as a check
5 mins