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
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Governing AI-Assisted Software Engineering: Why “Vibe Coding” Needs Guardrails, Not a Ban
AI is no longer a nice-to-have in software engineering. It’s embedded everywhere, from inline code completion to autonomous agents that plan entire pieces of work and open their own pull requests. The most permissive end of this spectrum is what Andrej Karpathy called “vibe coding” โ leaning fully into the suggestions an AI assistant gives…
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Master Data at Birth: Why Golden Records Should Be Created, Not Reconciled
The case for making the MDM Application a synchronous or upstream step in data creation, rather than a downstream reconciliation layer, tends to rest on a few arguments. Prevent duplicate creation instead of cleaning it up after. If a new counterparty or asset record is checked against the MDM Application before creation, you catch duplicates…
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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…
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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…