To design a real-time change data capture (CDC) system that tracks database updates using Debezium and streams them to Kafka, enabling near real-time synchronization between transactional systems and analytical platforms.
Study CDC concepts and event-driven architecture.
Configure Debezium connectors for relational databases.
Stream database changes into Kafka topics.
Implement consumers to process change events.
Transform data for analytical storage.
Load processed data into warehouse systems.
Handle schema evolution in streaming pipelines.
Ensure data consistency and ordering.
Implement monitoring dashboards.
Optimize throughput and minimize latency.
Secure streaming channels.
Test failover and recovery mechanisms.
Benchmark CDC performance metrics.
Document event-driven architecture design.
