BEAUTY
In simplicity
Passion in what you do, dedication in how you do it.
There is honesty in simplicity, whether in data management, photography, or cooking. Start from the fundamentals and let complexity grow naturally
-
The layer has a name: Ontology.
Traditional BI answers “๐ช๐ต๐ฎ๐ ๐ต๐ฎ๐ฝ๐ฝ๐ฒ๐ป๐ฒ๐ฑ?” Semantic models answer “๐๐ผ๐ ๐๐ต๐ผ๐๐น๐ฑ ๐๐ต๐ฒ ๐ฏ๐๐๐ถ๐ป๐ฒ๐๐ ๐บ๐ฒ๐ฎ๐๐๐ฟ๐ฒ ๐ถ๐?” Taxonomies answer “๐ช๐ต๐ฎ๐ ๐ธ๐ถ๐ป๐ฑ ๐ผ๐ณ ๐๐ต๐ถ๐ป๐ด ๐ถ๐ ๐๐ต๐ถ๐?” Knowledge graphs answer “๐ช๐ต๐ฎ๐ ๐ถ๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐ฐ๐ผ๐ป๐ป๐ฒ๐ฐ๐๐ฒ๐ฑ, ๐ฟ๐ถ๐ด๐ต๐ ๐ป๐ผ๐?” ๐ข๐ป๐๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐ ๐ฎ๐ป๐๐๐ฒ๐ฟ “๐๐ผ๐ ๐ฎ๐ฟ๐ฒ ๐ฎ๐น๐น ๐ฏ๐๐๐ถ๐ป๐ฒ๐๐ ๐ฐ๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐ ๐ฐ๐ผ๐ป๐ป๐ฒ๐ฐ๐๐ฒ๐ฑ?” Your AI agent doesn’t know what a customer is. It knows you have a table called…
-
Data Models: Conceptual vs Logical vs Physical
Every database starts as an idea. By the time it’s running in production, that idea has passed through three distinct stages, each one adding detail the last one didn’t have. Skipping straight to the last stage is how projects end up with schemas that technically work but don’t actually reflect how the business thinks. Understanding…
-
Your Silver Layer Is Not Missing Data. It Is Missing Decisions.
Most Silver layers are full of cleaned tables, standardised formats and automated transformations. But that is not where the real value sits. The real value of Silver is that it turns business decisions into reusable enterprise meaning. That is why a canonical model is not just a shared schema between applications. It is the organisation’s…
-
AI Governance: A Structural Perspective for Practitioners
As an architect, I’m watching a still-immature space, one where organisations are throwing themselves into AI faster than the structure around it can keep up. I keep seeing the same moment play out, usually right after something goes slightly wrong: who was supposed to be watching this? A chatbot gives a customer bad advice. A…