Model contracts define a set of parameters validated during transformation| docs.getdbt.com
provides a stateful way of deploying dbt. Artifacts are accessible programmatically via the Discovery API in the metadata platform.| docs.getdbt.com
Selector methods return all resources that share a common property, using the| docs.getdbt.com
This page explains the difference between properties and configurations in dbt.| docs.getdbt.com
With the Discovery API, you can query the metadata in dbt Cloud to learn more about your dbt deployments and the data it generates to analyze them and make improvements.| docs.getdbt.com
Edit, October 2021: I wrote this before joining the dbt Labs team, while I was the Head of Data at Education Perfect. Please interpret “we” accordingly! The core of dbt’s value proposition is that analytics code is an asset, like any other piece of code, so it should be developed and deployed with the same rigorous processes as any other piece of code. A key principle behind this rigour is Continuous Integration–as you modify code, automatically check that your intended changes don’...| dbt Community Forum
A guide to how to start and evolve a dbt project.| docs.getdbt.com
Model contracts define a set of parameters validated during transformation| docs.getdbt.com
The dbt_project_evaluator is a dbt package created by the Professional Services team at dbt Labs to help analytics engineers automatically audit their dbt projects for bad practices. Goodbye auditing nightmares, hello beautiful DAG.| docs.getdbt.com