About documentation | dbt Developer Hub
Learn how good documentation for your dbt models helps stakeholders discover and understand your datasets.| docs.getdbt.com
Learn how good documentation for your dbt models helps stakeholders discover and understand your datasets.| docs.getdbt.com
The dbt source command provides subcommands that are useful when working with source data. This command provides one subcommand, dbt source freshness.| docs.getdbt.com
Configure materializations in dbt to control how the SQL is run and resulting data is stored.| 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
Define data source tables when developing in dbt.| docs.getdbt.com
In 2015-2016, a team of folks at RJMetrics had the opportunity to observe, and participate in, a significant evolution of the analytics ecosystem. The seeds of dbt were conceived in this environment, and the viewpoint below was written to reflect what we had learned and how we believed the world should be different. dbt is our attempt to address the workflow challenges we observed, and as such, this viewpoint is the most foundational statement of the dbt project's goals.| docs.getdbt.com
Read this guide to understand the ref Jinja function in dbt.| docs.getdbt.com
dbt packages help modularize code and transform data efficiently.| docs.getdbt.com
Explore practical examples of modular data modeling techniques from traditional to modern and modular techniques.| dbt Labs
