In large organisations, the biggest bottleneck isn't technical; it’s communication.

When a Data Engineering team needs to consume events from a Backend team, the Schema Registry acts as the formal interface:

* It eliminates the need to "guess" the message structure.

* It prevents runtime errors that usually surface too late in production.

* It allows teams to evolve at different speeds without requiring "lock-step" deployments.

Treat your schemas like APIs. Keep them public, versioned, and, above all, consistent.

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