provides a stateful way of deploying dbt. Artifacts are accessible programmatically via the Discovery API in the metadata platform.| docs.getdbt.com
The Discovery API supports ad-hoc queries and integrations. If you are new to the API, refer to About the Discovery API for an introduction.| docs.getdbt.com
Information about single tenant and multi-tenant dbt Cloud instances| docs.getdbt.com
In , both jobs and environments are configured to use a specific version of . The version can be upgraded at any time.| 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
Get real-time notifications about your dbt jobs with webhooks.| docs.getdbt.com
A dbt project informs dbt about the context of your project and how to transform your data (build your data sets). By design, dbt enforces the top-level structure of a dbt project such as the dbt_project.yml file, the models directory, the snapshots directory, and so on. Within the directories of the top-level, you can organize your project in any way that meets the needs of your organization and data pipeline.| docs.getdbt.com