This repo contains an Astronomer project with multiple example DAGs showing how to use Airflow for SQL use cases. A guide discussing the DAGs and concepts in depth can be found here.

This tutorial has five DAGs showing how to accomplish the following SQL use cases:

• Executing two dependent queries
• Executing a paramterized query
• Loading data into a database
• Executing an ETL pipeline with transformations in Pandas
• Executing a query using dag-factory

The easiest way to run these example DAGs is to use the Astronomer CLI to get an Airflow instance up and running locally:

1. Install the Astronomer CLI
2. Clone this repo somewhere locally and navigate to it in your terminal
3. Initialize an Astronomer project by running astro dev init
4. Start Airflow locally by running astro dev start
5. Navigate to localhost:8080 in your browser and you should see the tutorial DAGs there