Implementing CDC with Debezium and Kafka Streams for Real-Time Data Warehousing
In today’s hyper-connected digital world, businesses demand immediate insights to stay competitive. Traditional batch processing for data warehousing, with its inherent delays, is no longer sufficient. Real-time data warehousing, driven by Change Data Capture (CDC), has emerged as a critical capability, enabling organizations to react instantly to evolving data. This article explores how combining Debezium and Kafka Streams creates a robust and scalable architecture for real-time CDC, transforming how data moves from operational databases to analytical data warehouses.