Implementing robust error handling for failed Snowplow events ensures no data loss and enables systematic reprocessing.

Dead-letter queue setup:

• Use Snowplow's dead-letter queue mechanism to capture failed events during pipeline processing
• Configure automatic routing of malformed or failed events to designated error handling systems
• Implement event classification to categorize different types of failures

Azure Blob Storage integration:

• Configure Snowplow to send failed events to Azure Blob Storage containers
• Set up the collector or enrichment process to route failed events into designated blob containers
• Organize failed events by failure type, timestamp, or processing stage for efficient reprocessing

Automated reprocessing workflows:

• Set up Azure Logic Apps or Azure Functions to monitor blob storage for failed events
• Implement automated reprocessing workflows that attempt to fix common issues and retry processing
• Create manual review processes for events that require human intervention or schema updates