How do you manage event schema evolution without breaking reports?

WHAT IT TESTS: Contract-change discipline across ingestion, warehouse, and BI. ANSWER OUTLINE: Backward-compatible serialization, nullable new fields, raw versus modeled layers, versioned schemas, and consumer alerts.
WHAT IT TESTS: Whether you treat schema evolution as a cross-layer contract problem across producers, ingestion, warehouse, and BI rather than a single DDL change. ANSWER OUTLINE: A strong answer covers backward-compatible serialization with default values, nullable new columns, a raw zone that accepts drift while curated models normalize the change, schema registry versioning, and dual-write or shadow testing before cutover.
Read the original → branchboston.com
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- #schema-evolution
- #data-engineering
- #data-warehouse
- #event-streaming
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