Ribby Hall Village Data Warehouse Project
This project, undertaken at Ribby Hall Village, involved the development and deployment of a robust data warehouse solution to centralize fragmented business data, enabling streamlined reporting and enhanced marketing capabilities. Built using a Spring Boot microservice, the solution integrated with third-party providers via REST, SOAP, and GraphQL APIs, connecting systems like Xledger (accountancy) and Campaign Monitor (marketing). The application was containerized with Docker, managed via GitHub, and deployed to a Kubernetes cluster on Google Cloud, with a GitLab CI/CD pipeline ensuring automated testing and deployment.
Features
- Centralized Data Warehouse: Consolidated fragmented business data from multiple sources, providing a unified platform for reporting and analytics.
- Spring Boot Microservice: Developed a bespoke microservice using Spring Boot, serving as the core of the data warehouse for secure and efficient data processing.
- Third-Party API Integration: Integrated with diverse systems, including Xledger (accountancy ledger) and Campaign Monitor (sales/marketing), using REST, SOAP, and GraphQL APIs.
- Test-Driven Development (TDD): Employed TDD practices with JUnit and Mockito, ensuring high code quality, resilience, and maintainability of the microservice.
- Containerization with Docker: Containerized the application using Docker, enabling consistent environments and seamless deployment across development and production.
- Kubernetes Deployment: Deployed the solution to a Kubernetes cluster on Google Cloud, ensuring high availability, scalability, and optimal performance.
- CI/CD Pipeline in GitLab: Established a robust Continuous Integration/Continuous Deployment pipeline in GitLab, automating testing, building, and deployment processes.
- Source Control with GitHub: Managed code versioning via GitHub, ensuring integrity and collaboration across development efforts.
- Streamlined Reporting: Enabled advanced reporting capabilities, providing actionable insights for business operations and decision-making.
- Enhanced Marketing Capabilities: Integrated marketing platforms to support targeted campaigns, leveraging centralized data for improved customer engagement.
- Scalable Architecture: Designed the microservice and Kubernetes setup to scale effortlessly with growing data volumes and business needs.
- Secure Data Processing: Implemented security best practices to protect sensitive business data, ensuring compliance with relevant standards.
- High Availability: Leveraged Google Cloud’s Kubernetes cluster for fault-tolerant, always-available data warehouse operations.
- Automated Deployments: Streamlined development cycles with GitLab CI/CD, reducing manual overhead and accelerating feature delivery.
- Cross-Platform Integration: Supported integration with diverse third-party providers, accommodating various API protocols for flexibility.
- Performance Optimization: Optimized the microservice for efficient data processing, handling large datasets from multiple sources without latency.
Ribby Hall Village Spring Campaign Monitor Xledger Docker Kubernetes Google Cloud GitLab CI/CD