Apache Kafka is a distributed, fault-tolerant, high-throughput streaming platform. It's often used as a message broker, but its capabilities extend far beyond traditional message queues. Kafka is designed for handling real-time data feeds, building data pipelines, and enabling stream processing and analysis. It provides a unified platform for handling all the real-time data feeds your organization has.
Change Data Capture (CDC) is a design pattern that identifies and captures changes made to data in a database, then delivers those changes in real-time to downstream systems. CDC enables real-time data integration, synchronization, and streaming analytics across heterogeneous systems.
This guide covers integrating Change Data Capture (CDC) with Apache Kafka to create real-time data streaming pipelines. We'll explore Kafka Connect, Debezium, and custom implementations for building robust CDC systems.