Snowplow provides multiple mechanisms to ensure high data quality throughout the data collection and processing pipeline.

Schema validation:

• Schema-first approach ensures data structure and quality at collection time
• Real-time validation prevents bad data from entering the pipeline
• Comprehensive error handling and bad event tracking for data quality monitoring

Real-time enrichment:

• Real-time data enrichment adds contextual information and validation
• Automated data quality checks and corrections during processing
• Integration with external data sources for comprehensive data enhancement

Quality monitoring:

• Comprehensive logging and monitoring of data quality metrics
• Real-time alerting for data quality issues and pipeline problems
• Tools for analyzing and resolving data quality issues quickly

These features help businesses capture accurate, reliable event data for informed decision-making and immediate action.