schema-drift-handling
See the main Schema Drift Detection skill for comprehensive coverage of schema drift detection and management.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
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-management -
43-data-reliability/data-contracts
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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