expanso-enforce-schema

To validate JSON data against a schema, this Skill checks incoming records against a predefined JSON Schema. Valid records route to an analytics endpoint while invalid records route to a dead-letter queue for review.

Malformed records are automatically routed to a file-based dead-letter queue (DLQ) for later inspection. This prevents invalid data from corrupting downstream processes while preserving the bad records for analysis.

Data pipelines handle JSON parsing errors by catching validation failures and routing invalid records to a dead-letter queue. This ensures data integrity and allows invalid readings to be captured without interrupting the main data flow.

Yes, you can use a dead-letter queue to isolate invalid sensor data. The Skill validates each reading against a strict format, routing non-compliant sensor readings to the DLQ for analysis without halting ingestion.

No external dependencies are required to run schema enforcement on JSON records. The Skill operates independently using provided shell scripts to validate data and route records to either an analytics endpoint or a dead-letter queue.

Schema validation fails when ingesting unstructured JSON data because the records do not conform to the predefined JSON Schema. These validation failures are caught and routed to a dead-letter queue to ensure downstream data integrity.