How Change Data Capture (CDC) Works

What this post added

This post details how Change Data Capture (CDC) works, converting database changes into events for analytics, operational use cases, and hydrating databases. It discusses the limitations of traditional databases and introduces CDC as a pattern to gain event-driven architecture advantages without ripping out existing systems. The post contrasts polling-based connectors with transaction log-based CDC, recommending the latter for accuracy and performance, and highlights Debezium as a popular framework. It also addresses the importance of denormalizing data for event streams and provides conceptual examples.