This example demonstrates how to run a dbt transformation pipeline within Mage. It covers key steps, including configuring a dbt project, running dbt models, and handling dependencies within a data pipeline.

Pipeline Overview

Step 1: Configure dbt – Define your dbt project and connect it to Mage. This includes specifying the dbt project path and ensuring dependencies are installed.

Step 2: Run dbt Models – Trigger dbt commands (dbt run, dbt test, etc.) as part of a Mage pipeline. You can run models sequentially or in parallel, depending on dependencies.

Step 3: Handle Dependencies – Chain dbt steps with other pipeline tasks, such as data ingestion or validation, to create a complete workflow.

Step 4: Monitor Execution – View logs, track performance, and debug errors using Mage’s built-in observability tools.

This example provides a practical reference for integrating dbt into a Mage pipeline, helping you automate transformations and streamline analytics workflows.