Version models to help with lifecycle management| docs.getdbt.com
Selector methods return all resources that share a common property, using the| docs.getdbt.com
When the contract configuration is enforced, dbt will ensure that your model's returned dataset exactly matches the attributes you have defined in yaml, such as name and data_type, as well as any additional constraints supported by the data platform.| docs.getdbt.com
Write resource selectors in YAML, save them with a human-friendly name, and reference them using the --selector flag.| docs.getdbt.com
This page explains the difference between properties and configurations in dbt.| docs.getdbt.com
Saved queries are a way to save commonly used queries in MetricFlow. They can be used to save time and avoid writing the same query over and over again.| docs.getdbt.com
Configure dbt data tests to assess the quality of your input data and ensure accuracy in resulting datasets.| docs.getdbt.com
Exposures make it possible to define and describe a downstream use of your project, such as in a dashboard, application, or data science pipeline. By defining exposures, you can then:| docs.getdbt.com
Produced by: Any command that parses your project. This includes all commands except deps, clean, debug, init| docs.getdbt.com
Define data source tables when developing in dbt.| docs.getdbt.com