
Scaling a production database to handle billions of rows often feels like navigating a minefield where every decision carries the weight of future system stability. When a monolithic table begins to groan under the sheer weight of its own data, the immediate instinct for many database architects is to slice it up by date, assuming that temporal organization is the










