Handle schema drift

Schema drift refers to changes in the structure or schema of a dataset over time. In a data integration context, schema drift occurs when the structure of the source data changes after a data integration process is implemented. These changes can include additions, deletions, or modifications of fields, data types, or other schema elements.

Schema drift can pose challenges for data integration processes because it can lead to inconsistencies between the source and target systems. If not properly managed, schema drift can result in data transformation errors, data loss, or incorrect data analysis.

How Workato detects and manages schema drift

Workato detects and manages schema drift through automated schema detection and adapatation. Workato can also regularly monitor and validate data structures and send you notifications when schema changes are detected. This enables you to manually intervene when necessary.