This article discusses the implementation of Change Data Capture (CDC) using PostgreSQL as the source database, Debezium for monitoring changes, and Apache Kafka for streaming these events. It outlines the necessary components, including setting up a Docker environment using docker-compose for PostgreSQL, Kafka, Debezium, and Kafka Connect. A practical example is provided to demonstrate integration, enabling near real-time updates for downstream services or analytics systems. These technologies empower businesses to maintain data accuracy across distributed systems.
The article provides a step-by-step guide to setting up a Change Data Capture (CDC) pipeline using PostgreSQL, Debezium, Apache Kafka, and Python.
Change Data Capture (CDC) is essential for tracking database changes in real-time, facilitating data synchronization in microservices and enabling advanced analytics.
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