The platform handles schema changes through automatic versioning in the Knowledge Fabric, which continuously monitors connected data sources for schema modifications and automatically discovers data lineage relationships. When source system schemas change, the Knowledge Fabric detects these changes, re-runs schema validation checks, creates new schema versions, and automatically rediscovers lineage by analyzing data flows, transformations, and dependencies across systems without manual intervention. Lineage auto-discovery means the system continuously maps how data moves and transforms between sources, identifying upstream and downstream dependencies to maintain an accurate end-to-end view even as schemas evolve. The fabric tracks which schema version had been used to access data at any point in time, creating a complete audit trail showing both what the data structure looked like and how it flowed through the system. Historical data relationships remain intact and traceable to their original schema versions, while new queries automatically use updated schemas with refreshed lineage mappings, eliminating manual ETL reconfiguration and ensuring lineage accuracy across system evolution.