
A silent failure in a data warehouse often begins with a seemingly harmless change made by an upstream software engineering team that has no visibility into how their data is consumed. When an application developer decides to rename a field from “user_id” to “customer_uuid” or changes a data type to optimize performance, the ripple effect can be catastrophic for the










