Data Pipeline Monitoring: How to Stop Silent Failures Before They Hit Production

This content discusses the danger of silent failures in data pipelines, which deliver outdated information impacting ML models. Continuous monitoring of data flow, freshness, and schema is essential to prevent hidden problems.