WoW DataHub ☞ Game Management Dashboard & Analytics Platform
A comprehensive database solution for MMORPG character data management, featuring:
- Normalized relational database with optimized schema design
- Robust ETL pipeline for automated data ingestion and transformation
- Secure JAVA-based data access layer with SQL injection prevention
- Complex analytics engine for multi-dimensional game statistics
- Interactive web dashboard for stakeholder insights
Project Overview
Watch how it works:
Development Process
Phase 1: Database Design & Schema Creation
Objective: Design normalized relational database schema with ER-Diagram for MMORPG character data
- Created comprehensive entity-relationship diagrams using crow’s feet notation
- Normalized database to 3NF to eliminate redundancy and ensure data integrity
- Defined relationship modalities and cardinalities for optimal performance
- Technologies: MySQL, ER Modeling, Database Normalization
Phase 2: Physical Implementation & Data Layer
Objective: Build secure data access layer with proper validation and abstraction
- Implemented physical data models with appropriate primary and foreign key, and update, delete constraints
- Developed JAVA-based data access layer using JDBC with prepared statements
- Created comprehensive input validation to prevent SQL injection attacks
- Built abstraction layers for database operations with transaction support
- Technologies: JAVA, JDBC, Data Validation, SQL Security
Phase 3: ETL Pipeline & Data Integration
Objective: Build robust ETL processes for data ingestion and transformation
- Designed automated ETL pipelines to extract data from multiple game servers
- Implemented data transformation rules for standardization and quality assurance
- Created incremental loading strategies for real-time data synchronization
- Built data validation and error handling mechanisms with detailed logging
- Developed error handling and logging mechanisms for failed data loads
- Technologies: JAVA, JDBC Batch Processing, SQL Stored Procedures, Data Validation
Phase 4: Query Development & Analytics
Objective: Implement complex analytics and reporting capabilities
- Developed sophisticated SQL queries using multiple joins and aggregations
- Created stored procedures for complex business logic and performance optimization
- Built analytics engine for multi-dimensional game statistics analysis
- Implemented efficient indexing strategies for query optimization
- Technologies: SQL, Joins & Aggregations, Views, Data Analytics, Reporting
Phase 5: Web Interface & Stakeholder Dashboard
Objective: Create interactive web application for data visualization and management
- Built JSP-based web application with MVC architecture
- Implemented dynamic filtering and search capabilities
- Created interactive charts and visualizations for game statistics
- Developed role-based access control for different stakeholder views
- Technologies: JSP, Web Development, Interactive UI, Git Version Control
Key Features
🎯 Character Data Management
- Comprehensive player profile tracking including levels, achievements, and inventory
- Real-time synchronization of game statistics
- Historical data tracking for player progression analysis
🔄 ETL Pipeline
- Automated data extraction from multiple game server logs
- Real-time and batch processing capabilities
- Data transformation for consistency across sources
- Quality checks and validation at each stage
- Error handling and recovery mechanisms
🛡️ Security Implementation
- Prepared statements to prevent SQL injection
- Input sanitization and validation at multiple layers
- Secure session management and authentication
- Encrypted sensitive data storage
📈 Analytics Engine
- Multi-dimensional analysis of player behavior
- Performance metrics and KPI tracking
- Custom report generation with export capabilities
- Trend analysis and predictive modeling support
👥 Stakeholder Portal
- Interactive data visualization with drill-down capabilities
- Real-time filtering and search functionality
- Responsive design for mobile and desktop access
Technical Architecture
The system follows a three-tier architecture:
- Presentation Layer: JSP pages with JSTL for dynamic content rendering
- Business Logic Layer: JAVA servlets handling request processing and business rules
- Data Access Layer: JDBC-based DAOs with connection pooling for efficient database access
Future Enhancements
- Migration to Spring Boot for improved scalability
- Implementation of RESTful APIs for mobile app integration
- Real-time data updates using WebSocket connections
- Machine learning integration for player behavior prediction