Error record count exceeds threshold indicating data quality issues

Pipeline error_count metric exceeds threshold (e.g., 100 records), indicating data quality issues, schema mismatches, or transformation failures

Create alert policy on 'pipeline/error_count' metric with threshold of 100 (adjust based on your tolerance). When triggered, check error handler output tables for failed records, analyze patterns in error data, update pipeline schema or add transforms to handle edge cases