Flagship Case Study

E-Commerce Database Management System

A database-driven admin system for managing customers, products, orders, shipments, payments, and reviews — built with strong data integrity, clean workflows, and analytics-ready queries.

Core Focus
Data modeling + CRUD + analytics
Highlights
Normalized design (3NF/BCNF)
Interface
Admin dashboard + query runner
DBMS dashboard screenshot

What this demonstrates

Architecture

High-level view of how the interface, backend logic, and relational database interact to support CRUD workflows and analytics queries.

System architecture diagram

Login + dashboard

Login screenDashboard screen

A simple interface that supports database setup, table management, and analytics queries from one place.

Database design (ER model)

The ER model supports customers, orders, order items, products, sellers, shipments, payments, and reviews — with relationships designed for correctness and scalability.

E-commerce ER diagram

CRUD operations

Admin workflows for adding, editing, filtering, and deleting records while keeping data consistent.

Manage customers table

Edit flow

Edit forms show how the system handles controlled updates and clean data entry.

Edit customer form

Analytics queries

Predefined queries surface decision-ready insights such as customer location distribution, stock risk, shipment status, and review trends.

Query selection dashboardQuery result example

Why this matters

This project shows how strong analytics starts with strong data foundations: clear relational modeling, integrity constraints, usable operations, and queries that translate data into business answers.