Data Validity

The degree to which data conforms to required formats, ranges, business rules, and domain constraints.

Why it matters

Data Validity helps data teams design systems that are reliable, understandable, governable, and efficient at scale.

Design considerations

• Define ownership, contracts, and expected consumers.
• Make failure, replay, compatibility, and observability behavior explicit.
• Measure quality, freshness, cost, and operational burden rather than optimizing only throughput.