Schema Drift Handling
This skill is covered in detail in the main Schema Drift Detection skill.
Please refer to: 43-data-reliability/schema-drift/SKILL.md
That skill covers:
- What is schema drift and why it matters
- Types of schema changes (column added/removed, data type changed, constraints, table renamed/dropped)
- Schema drift detection (automated monitoring, version tracking, change detection)
- Schema evolution strategies (backward compatibility, forward compatibility, schema versioning)
- Handling schema changes (graceful degradation, data migration, pipeline adaptation)
- Tools and techniques (dbt schema tests, Great Expectations, Monte Carlo, Kafka Schema Registry, Protobuf/Avro)
- Schema change notification (alerts, change logs, impact analysis)
- Database migration best practices (migrations in version control, rolling migrations, zero-downtime)
- Schema documentation (data dictionary, schema changelog, ERD diagrams)
- Testing schema changes
- Real schema drift incidents
Related Skills
43-data-reliability/schema-drift(Main skill)43-data-reliability/schema-management43-data-reliability/data-contracts