This repository contains curated patterns and examples focused on designing robust analytics architectures that support scalable, reliable, and decision-oriented business intelligence systems.
The emphasis is on structure, consistency, and clarity — ensuring that analytics solutions can grow without losing trust or usability.
- Analytics and BI architecture patterns
- Data modeling and semantic layer design
- KPI and metrics standardization
- Scalability and maintainability considerations
- Architecture enables consistent decision-making
- Metrics should be defined once and reused
- Models must balance flexibility with governance
- Simplicity and clarity over unnecessary complexity
Each example is organized as a self-contained project under /projects.
Start with the README inside each project folder to understand the architectural
decisions, trade-offs, and impact on analytics delivery.