Overview
Designed a database-backed system for gaming tournament operations.
Problem
Tournament workflows require clean relationships between players, teams, matches, and results in order to avoid inconsistent reporting.
Dataset / Inputs
- Tournament entities including players, teams, matches, and results
- Reporting requirements for standings and outcome tracking
System Architecture
- Entity relationship design.
- Normalized relational schema.
- Query patterns for tournament reporting.
What I Built
- ERD and relational schema for tournament operations
- Normalized table structure for participants, teams, matches, and outcomes
- Query set for reporting and structured tournament analysis
Tools
- SQL
- Database Design
- ERD
- Normalization
Results / Proof Points
Produced a stronger foundation for tournament data integrity and structured reporting.
Business Value
The project shows how clean relational design improves reporting reliability, reduces downstream data issues, and supports operational systems that depend on accurate event records.
What I Learned
This project reinforced how thoughtful schema design reduces downstream complexity in analytics and application logic.
Next Steps
Future versions could extend the schema into an application layer with automated standings, scheduling, and richer tournament dashboards.
Limitations
This project is strongest as a schema and query design example. The public version does not yet include a larger application layer or richer visual artifacts.