The Airline Data Warehouse (DWH) project is designed to consolidate, store, and analyze airline-related data efficiently. The goal is to provide a robust platform for data integration, reporting, and business intelligence, supporting better decision-making in the airline industry.
This project is a collaborative effort developed as part of the Database II course. Our team has designed and implemented a comprehensive data warehouse solution specifically for the airline industry.
This project is currently in developer mode. Please note:
- Some code and configuration files may contain bugs or errors.
- Code optimization and refactoring are ongoing.
- Features and documentation are subject to change.
- Use at your own risk; not recommended for production environments.
We appreciate your understanding as we continue to improve and stabilize the project.
You can also run Airline-Data-Warehouse using Docker, which provides a consistent environment across different systems.
Make sure you have Docker installed on your system.
-
Clone the repository (if you haven't already):
git clone https://github.com/Mr-MRF-Dev/Airline-Data-Warehouse.git
navigate to the project directory:
cd Airline-Data-Warehouse -
Build the Docker image:
docker build -t airline-data-warehouse . -
Run the container:
docker run -p 1433:1433 airline-data-warehouse
-
using sql server management studio connect to the database using the following credentials:
- Server Type:
Database Engine - Server Name:
localhost,1433 - Authentication:
SQL Server Authentication - Username:
sa - Password:
Admin@Pass
or using sql cmd:
sqlcmd -S localhost,1433 -U sa -P Admin@Pass
- Server Type:
The project is a collaborative effort by the following team members:
we welcome any contributions you may have. If you're interested in helping out, fork the repository and create an Issue and PR.
This project is licensed under the MIT License. See the LICENSE file for details.