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This repository simulates a comprehensive database system for McDonald's using SQL. It replicates McDonald's operations and workflows through a series of structured database models, optimized queries, and key operations.

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🍔 McDonald's Database Simulation (McDonald-s-DB)

Welcome to the McDonald's Database Simulation Project! This repository hosts a comprehensive simulation of a database system tailored for McDonald's, the renowned fast-food chain. The goal of this project is to create a realistic representation of McDonald's operations through a well-designed database schema, detailed entity relationships, and optimized queries.

👥 Contributors:

  • Vincenzo Bucciero
  • Camilla De Martino
  • Noemi Ruocco

📚 Project Files:

  • McDonalds.pdf: This document provides an overview of the McDonald's Database Simulation, offering insights into the project's goals, design principles, and data structures.
  • modello_concettuale.jpeg: This file contains the conceptual model representing the high-level structure of the database.
  • modello_relazionale.jpeg: This file contains the relational model depicting the detailed relationships and tables within the database.
  • popolamento.sql: This SQL script file contains data population queries, enabling the simulation with sample data.
  • procedure.sql: This file includes SQL procedures that define specific actions or operations within the database.
  • tabelle.sql: This file contains the SQL statements for creating the necessary tables in the database.
  • trigger.sql: This file contains SQL triggers that are executed automatically in response to specific events on a particular table or view.
  • vincoli_check.sql: This file defines check constraints to enforce specific conditions on the data in the database.
  • viste.sql: This file contains SQL queries defining views, providing simplified and meaningful perspectives on the underlying data.

🚀 How to Use:

Clone the Repository:

git clone <repository_url.git>
cd McDonald-s-DB

🛠️: Database Setup:

  • Create a new database in your preferred DBMS (MySQL, PostgreSQL, etc.).
  • Execute the tabelle.sql script to create the necessary tables.
  • Populate the database with sample data using the popolamento.sql script
  • Run the trigger.sql script to set up triggers for automated actions.
  • Execute the procedure.sql script to define specific database procedures.

🛂Exploring the Project:

  • Refer to McDonalds.pdf for an in-depth understanding of the project's structure and objectives.
  • Review the conceptual model in modello_concettuale.jpeg and the relational model in modello_relazionale.jpeg for visual representations of the database design.
  • Utilize the SQL views defined in viste.sql for simplified data access.
  • Contribute to the project by making enhancements, fixing issues, or proposing new features.

🤙Contributing:

We welcome contributions from the community! If you have ideas, bug fixes, or improvements to suggest, please follow these steps:

  • Fork the repository and create your branch: git checkout -b feature/your-feature.
  • Commit your changes: git commit -m 'Add your feature'.
  • Push to the branch: git push origin feature/your-feature.
  • Create a pull request, describing your changes in detail and explaining their purpose.

Thank you for being a part of this exciting McDonald's Database Simulation project! Let's work together to create a robust and realistic representation of McDonald's database operations. 🍟🍔

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This repository simulates a comprehensive database system for McDonald's using SQL. It replicates McDonald's operations and workflows through a series of structured database models, optimized queries, and key operations.

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