Learn how connecting your GitHub account provides convenience and another layer of security to dbt.| docs.getdbt.com
Use 's capabilities to seamlessly run a dbt job in production or staging environments. Rather than run dbt commands manually from the command line, you can leverage the 's in-app scheduling to automate how and when you execute dbt.| docs.getdbt.com
Learn how to properly adjust your generate_schema_name() and generate_alias_name() macros.| docs.getdbt.com
Different warehouses have different names for logical databases. The information in this document covers "databases" on Snowflake, Redshift, and Postgres; "projects" on BigQuery; and "catalogs" on Databricks Unity Catalog.| docs.getdbt.com
The `target` variable contains information about your connection to the warehouse.| docs.getdbt.com
Incorporate environment variables using `en_var` function.| docs.getdbt.com
Configure custom aliases to override default naming conventions for models and other resources in dbt.| docs.getdbt.com
Pass variables from `dbt_project.yml` file into models.| docs.getdbt.com
Learn about dbt's development environment to execute your project in the IDE| docs.getdbt.com
dbt provides a mechanism, variables, to provide data to models for| docs.getdbt.com