How to Enforce Data Schema Validation

Validate data structure at the edge before it corrupts your cloud analytics.

The Problem

Invalid or malformed data breaks downstream systems:

• Wrong types corrupt analytics (string instead of number)
• Missing required fields crash processing
• Impossible values cause alert misconfigurations
• Malicious payloads create security vulnerabilities

The Solution

Learn 4 schema validation techniques:

1. Define JSON Schema - Comprehensive schemas with type checking, range validation, and security boundaries
2. Configure Edge Validation - json_schema processor with fail-fast validation at edge nodes
3. Route Validation Failures - switch processor routes failed messages to dead letter queue
4. Monitor Data Quality - Metrics collection with Prometheus alerting for quality trends

Get Started

Choose your path:

Interactive Explorer

See schema validation with live before/after examples

Step-by-Step Tutorial

Build the pipeline incrementally:

1. Define JSON Schema
2. Configure Schema Validation
3. Route Validation Failures
4. Monitor Data Quality

Complete Pipeline

Download the production-ready solution