Stream & Unify Data Schemas with CDC

Imagine deploying schema changes with confidence—knowing your pipeline will handle them gracefully, consumers will stay healthy, and your data will stay consistent. That's the difference between hoping your CDC pipeline works and knowing it will. In this course you will learn how to build a working, vendor‑neutral CDC pipeline and a single, unified table from evolving source schemas. Starting with Debezium streaming changes from Postgres/MySQL into Kafka, you will use Schema Registry to enforce compatibility, then apply streaming SQL in Flink (or ksqlDB) to map, cast, and merge divergent field…