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Relational Database Project FSU

Overview

This repository contains the work of Colin Maloney, Imran Ahmed, and Hugh Long for our Database class project. We are designing and implementing a relational database to address a specific problem domain. The project involves all phases of database development, including planning, design, implementation, and testing.

Project Goals

The main objectives of this project are:

  • To design a robust relational database schema.
  • To implement the schema using SQL.
  • To ensure data integrity and normalization.
  • To demonstrate the use of advanced queries, joins, and transactions.
  • To document the process and results effectively.

Features

  • Schema Design: Logical and physical database design to represent entities and relationships.
  • Data Normalization: Ensuring the database adheres to 3NF or higher.
  • SQL Implementation: Creating tables, views, stored procedures, and triggers.
  • Sample Data: Populating the database with meaningful test data.
  • Complex Queries: Examples of multi-join queries, subqueries, and aggregate functions.
  • Transaction Management: Demonstrating ACID properties.
  • Documentation: Comprehensive details about the database, its use cases, and the SQL queries.

Tools and Technologies

  • Database Management System (DBMS):
  • Programming Language:
  • SQL: For database operations and queries.
  • Version Control: GitHub for collaboration and versioning.

Team Members

  • Colin Maloney
  • Imran Ahmed
  • Hugh Long

License

This project is for educational purposes

Acknowledgments

We thank our instructor and peers for their guidance and support throughout this project.

About

A web application for visualizing potential wildfire activity across Florida using data from NASA’s FIRMS API. The project focuses on aggregating, storing, and presenting wildfire data through a clean, user-friendly interface, developed collaboratively with structured version control and iterative design improvements.

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