Post by Prateek Jalgaonkar

📘 Data Engineering Insight: Data Lineage vs Observability They sound similar. They’re not. Data Lineage answers: 👉 Where did this data come from? It tracks flow — Source → Transformations → Downstream tables → Dashboards. It’s your data’s family tree. Observability answers: 👉 Is the system behaving correctly right now? It monitors — Freshness. Volume anomalies. Schema changes. Pipeline failures. It’s your data system’s health check. Simple difference: Lineage explains the flow. Observability protects the flow. Mature data platforms need both. Because knowing where data came from is powerful. But knowing something broke before the business does? That’s trust. #DataEngineering #DataArchitecture #DataLineage #DataObservability #SystemDesign #AnalyticsEngineering