Resources

Insights on AI, Data & Architecture

Practical, technical writing on enterprise AI, Databricks, cloud architecture, and agent systems — from the team building them.

A step-by-step approach to structuring catalogs, schemas, and access policies before your Lakehouse rollout scales past the pilot.

Retrieval quality, not model choice, is the most common reason enterprise RAG systems disappoint in production.

A practical pattern for orchestrating specialized agents without turning your architecture into an unmanageable mesh.

A clear-eyed comparison for teams deciding whether a Lakehouse migration is worth the disruption.