Data Engineering Tools

Event Schema Validator

Paste an event payload to check for required fields, ISO 8601 timestamps, UUID event IDs, and CloudEvents compatibility.

No data is transmitted โ€” everything runs locally

Event Schema Validator

The Event Schema Validator checks event payloads for required fields, UUID event_id, ISO 8601 timestamps, schema_version, and CloudEvents spec compatibility.

โ€ข Validate event schema before publishing to a Kafka topic

โ€ข Check whether an event payload has all fields needed for deduplication

โ€ข Verify ISO 8601 timestamp format before a data pipeline implementation

โ€ข Assess CloudEvents compliance before adopting the standard

Data Freshness SLO Calculator โ€” Calculate data freshness SLO compliance and budget remaining from pipeline lag.
Open Data Freshness SLO Calculator โ†’
What does this tool tell you?
The Event Schema Validator checks event payloads for required fields, UUID event_id, ISO 8601 timestamps, schema_version, and CloudEvents spec compatibility.
What affects the result most?
Event schema required fields: event_id (UUID), event_type, occurred_at (ISO 8601), schema_version. Event ID: UUID v4 for deduplication โ€” idempotent consumers need this. occurred_at vs ingested_at: event time vs processing time โ€” always capture both.
How should I use the result?
Treat the tool's output as a first-pass check, not a proof of correctness. A clean pass means no issues in the patterns this tool recognizes; a failure points to a specific problem you can investigate in your source. The underlying spec is the authoritative source for edge cases.
Schema drift breaks consumers. Catch it before production. The Data Governance Pack validates schemas across your event streams โ€” surfaces breaking changes and undocumented fields.
View schema compliance analysis โ†’
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