Tutorial: Using dbt with Dagster#

Using dbt Cloud? Check out the dbt Cloud with Dagster guide!

In this tutorial, we'll walk you through integrating dbt with Dagster using a smaller version of dbt's example jaffle shop project, the dagster-dbt library, and a data warehouse, such as DuckDB.

By the end of this tutorial, you'll have your dbt models represented in Dagster along with other Dagster asset definitions upstream and downstream of them:

Asset group with dbt models and Python asset

To get there, you will:

Set up a dbt project
Load the dbt models into Dagster as assets
Create and materialize upstream Dagster assets
Create and materialize a downstream asset that outputs a plotly chart

Prerequisites#

To complete this tutorial, you'll need:

To have git installed. If it's not installed already (find out by typing git in your terminal), you can install it using the instructions on the git website.
To install dbt, Dagster, and the Dagster webserver/UI. Run the following to install everything using pip:
```
pip install dagster-dbt dagster-webserver dbt-duckdb
```
The dagster-dbt library installs both dbt-core and dagster as dependencies. dbt-duckdb is installed as you'll be using DuckDB as a database during this tutorial. Refer to the dbt and Dagster installation docs for more info.

Ready to get started?#

When you've fulfilled all the prerequisites for the tutorial, you can get started by setting up the dbt project.