https://github.com/gades-dataeng/mod7-final-project
https://github.com/gades-dataeng/mod7-final-project
Last synced: 8 months ago
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- Host: GitHub
- URL: https://github.com/gades-dataeng/mod7-final-project
- Owner: GADES-DATAENG
- License: apache-2.0
- Created: 2025-07-16T21:36:33.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-07-17T19:21:00.000Z (11 months ago)
- Last Synced: 2025-08-07T21:52:30.243Z (10 months ago)
- Language: Python
- Size: 18.6 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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:
```bash
git clone git@github.com: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:
```bash
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`