Data Architecture
- Data warehouse, lakehouse, and layered architecture
- Analytical and operational data modeling
- Batch and real-time processing
- Scalable ingestion and transformation
- Data serving and consumption patterns
Data, systems, and context architecture for reliable analytics, AI, and action.
Why intelligent systems need a governed context layer between enterprise data and operational action.
How scattered policies, metrics, rules, and exceptions slow teams and weaken automation.
Why useful AI depends on the business meaning behind its data.