To manage late-arriving or failed events in Snowflake:

• Late-arriving Events: Implement separate staging areas and use Snowflake's time travel capabilities to merge late events into the main dataset without disrupting real-time analytics
• Failed Event Handling: Configure Snowplow to route failed events to dedicated error tables in Snowflake for analysis and potential reprocessing
• Reprocessing Workflows: Use Snowflake Tasks and Streams to automatically detect and reprocess recovered events when they become available
• Data Quality Monitoring: Set up monitoring to track late-arriving event patterns and adjust processing windows accordingly
• Graceful Degradation: Design analytics workflows to handle missing data gracefully while maintaining service availability

This approach ensures data completeness while maintaining system reliability and performance.