Delete the Training Pipeline

Your lakehouse is fresh. Why are your forecasts still days old? Most predictive ML architectures contain the same contradiction: a continuously updated, zero-copy lakehouse feeds a pipeline that freezes the data, trains one model per tenant and use case, and retrains it on a schedule.