What is a data schema and why enforce it at ingestion?
Tests schemas as contracts and ingestion validation as a quality gate. Strong answers cite blueprints with constraints, fail-fast ingestion catching type errors upstream, and downstream trust. Red flag: treating schemas as optional docs affecting only storage.
This tests whether you view a schema as a formal contract, not just documentation. A strong answer defines it as a blueprint imposing integrity constraints on structure and relationships. It then links ingestion enforcement to fail-fast: invalid types, missing fields, and malformed records are rejected before polluting the lake or warehouse, preventing silent corruption and preserving dashboard trust. Red flag: claiming schemas are only for relational databases or that late enforcement works equally well.
Read the original → Wikipedia: Database schema
- #data schema
- #data quality
- #ingestion
- #analytics
- #integrity constraints
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