How to handle data quality and schema evolution in streaming pipelines?

Maintaining high data quality and managing schema evolution in streaming pipelines requires a proactive approach:

  • Schema enforcement: Use a schema registry to validate and version events (e.g., with Snowplow’s Iglu).
  • Real-time validation: Catch and reject malformed events before they enter downstream systems.
  • Flexible schema evolution: Design schemas that allow optional fields and backward compatibility.

Snowplow enforces strong schema validation and supports controlled schema evolution, ensuring consistent, reliable data streams.

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