Running Dagster with your dbt project locally

📘 Introduction

In this hands-on tutorial, we’ll walk you step-by-step through how to run Dagster with your dbt project, so you can orchestrate, monitor, and manage your data pipelines in the Dagster UI.

✅ Prerequisites

🐍☑️ Installed Python
📦☑️Installed Pip
🌐☑️ Created a virtual environment (venv)
🗂️☑️ A dbt project set up
🧪☑️ Existing dbt models defined in your models/ directory
🐙☑️ Created a Dagster project within your dbt project

🗂️ Existing dbt project with a Dagster project

In this tutorial, we’re working with a dbt project called dlnerds_university. Inside it, we’ve already created a Dagster project named dlnerds_university_dagster.

📥1️⃣ Install Dagster Webserver

To get started, activate your virtual environment and install the dagster-webserver package via pip. Open a terminal and run the following command:

pip install dagster-webserver

🚀2️⃣ Run server locally

Within the dbt project directory, navigate to your Dagster project. In our case: