Designing E-Commerce Data Models with Relational SQL Databases

Abstract

E-commerce platforms generate and rely on complex data that must be managed efficiently to ensure seamless operations, scalability, and customer satisfaction. Relational SQL databases remain foundational in designing and implementing robust data models for e-commerce applications. This paper explores the principles and strategies for designing efficient and scalable e-commerce data models using relational databases. It examines key design considerations such as normalization, entity-relationship mapping, transaction handling, and indexing. Furthermore, it evaluates how relational databases can support evolving e-commerce functionalities like inventory management, order tracking, customer personalization, and secure transactions. Emphasizing the importance of schema design and performance optimization, this paper serves as a practical guide to aligning business logic with structured database architecture for modern e-commerce systems