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mod7-final-project

This repository contains the practical code and examples for the final project class of the Fundamentals of Data Engineering with Python and SQL course.

Setup Instructions

Step 1: Clone the Repository

If you haven't already cloned the repository, you can do so by running the following command:

git clone [email protected]:GADES-DATAENG/mod7-final-project.git
cd mod7-final-project

Step 2: Start the Services with Docker Compose

Once the image is built, you can start the services (Airflow, and other dependencies) using Docker Compose. Run the following command:

docker-compose up -d

This command will start all the containers defined in the docker-compose.yml file. It will set up Airflow, and any necessary services, including BigQuery integration.

Step 3: Access the Services

  • Airflow Web UI: You can access the Airflow web interface at http://localhost:8080
    • Default login credentials are
      • Username: airflow
      • Password: airflow

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