Data Deduplication

The process of detecting and removing duplicate records while preserving the intended unique business events or entities.

Why it matters

Data Deduplication 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.