Change Data Capture (CDC) is a foundational pattern in modern data engineering. It enables systems to react to database changes in near real-time by streaming inserts, updates, and deletes as events. This capability is critical in a wide range of scenarios: synchronizing microservices, feeding real-time dashboards, updating machine learning features, powering audit logs, or building streaming data lakes.

In this tutorial, we’ll walk through how to implement a CDC pipeline using the following components: