Ab Initio Data Quality -

When a record fails a quality check, don't stop the entire graph. Use an to redirect failed records to a "dead letter" file or table. This allows the pipeline to continue while providing a clear audit trail for manual correction or reprocessing. Continuous Monitoring

Most data teams focus on reactive data quality (DQ). They let data in, then scramble to fix it. But what if we borrowed a concept from theoretical chemistry and quantum physics? What if we focused on ? ab initio data quality