Execution Context
This function enables automated handling of schema modifications throughout the data lifecycle. It detects structural changes in source or target tables, validates compatibility, and executes safe migration strategies without disrupting downstream consumers. By integrating backward and forward compatibility checks, it ensures data integrity while supporting dynamic evolution of enterprise datasets.
The system continuously monitors data sources for structural modifications such as column additions or type changes.
Upon detecting a change, the engine evaluates compatibility rules before triggering any migration logic.
Execution involves parallel processing of legacy and new schemas to maintain service availability during transitions.
Operating Checklist
Detect schema changes in source or target tables
Validate compatibility against application contracts
Execute backward-compatible transformation logic
Verify data integrity and update metadata
Integration Surfaces
Source Data Detection
Automated scanning of incoming data streams to identify schema drift or version updates.
Compatibility Validation
Logical checks ensuring new fields do not break existing application contracts or queries.
Migration Execution
Orchestrated transformation of data structures with rollback capabilities if integrity fails.
