Highlights
- The map is not the territory — every model is a simplification judged by fitness for purpose, and maps mislead the moment the territory moves; the strongest single argument for treating data models as living artifacts that must be maintained, not monuments.
- First-principles thinking — strip a problem to its invariants and rebuild from there; MDDE is a first-principles result: remove the platforms and tools from data engineering and what remains is the model and the rules.
- Inversion — instead of asking how to succeed, ask what would guarantee failure and avoid it; designing a warehouse by enumerating the ways it rots (undocumented logic, hand-coded exceptions, hero dependencies) points straight at generation and conventions.
- Second-order thinking — the hand-coded pipeline is faster today and unmaintainable in two years; most architecture arguments are really arguments about which order of consequence you optimize for.
- Circle of competence — know precisely where your edge ends and say so; a discipline for positioning as much as for decisions, and the reasoning behind choosing tool-extender depth over framework-owner breadth.
- The latticework is a concept library — Farnam Street's whole program is a curated set of durable, named, interconnected concepts that compound when linked; structurally identical to building a concept library with a graph of relations between concepts and articles.
Highlights on this page are generated with the help of AI.