Change Data Capture (CDC) involves tracking and capturing changes (such as inserts, updates, and deletes) in a database so that these changes can be reflected in other systems or data warehouse. This technique helps ensure that data across different systems remains consistent and synchronized without the need for full data refreshes. CDC can be implemented through database triggers, log-based methods, or specialized tools. It is widely used in data integration, real-time analytics, and ETL (Extract, Transform, Load) processes to efficiently propagate updates and maintain data integrity across Distributed Systems. By capturing only the changes rather than reprocessing entire datasets, CDC helps optimize data processing and reduce overhead.