Schema Drift

Schema drift is the structural failure risk that arises when data fields are added, removed, renamed, or changed in type over time. Such changes can create silent failures, especially in automated pipelines. A column changing from text to numeric form, or the introduction of new mandatory fields, can directly affect models and reporting systems. Managing schema drift is an important part of data observability and data contracts. When structure changes, the impact reaches far beyond the raw data itself.