Project: E-Commerce Database Design and Reporting

Project: E-Commerce Database Design and Reporting

This project aims to model the core data structure of an e-commerce platform (such as Trendyol, Hepsiburada, Amazon, etc.) using SQL. The project involves creating key tables such as product, category, customer, seller, order, and order details, defining the relationships between these tables, and preparing an ER diagram.

Real-world relevant sample data has been added to the database, and various reports have been generated using SQL queries. These reports include best-selling products, top-selling sellers, and monthly order analysis.

The project has provided valuable experience in database modeling, relational data structure creation, and writing complex SQL queries. It has also offered a comprehensive understanding of how data management is handled in e-commerce systems. The knowledge and skills gained from this project can be expanded in the future by adding advanced reporting, automation, and data analytics features.

Technologies and Tools Used:

The core technologies used in this project are SQL and Microsoft SQL Server (MSSQL). All database design tasks, table creation, data insertion, updates, and deletions were performed on MSSQL Server. In SQL, the following structures were used:

• JOIN: Combining data from different tables
• GROUP BY: Grouping data
• HAVING: Filtering groups
• Subqueries: Using a query within another query for more complex data analysis
• Aggregate functions (SUM, COUNT, AVG): Performing summation, counting, and averaging operations
• Data filtering structures: Filtering specific data

These SQL commands and structures were used to generate comprehensive reports from the database.

Additionally, the MSSQL Management Studio (SSMS) interface made it easier to draw the ER diagram, inspect table relationships, and test queries. This interface helped visualize the database design, providing a valuable tool for understanding the structure.

Project Outcomes and Contributions:

This project enabled the creation of a high-performance and manageable e-commerce database structure. The powerful features offered by SQL Server contributed significantly to effective data management and facilitated the development process. Furthermore, the SQL queries developed allowed for efficient and fast data analysis and reporting."