CDC is a technique that automatically identifies changes made to data at the source, captures the changes, and records them for later storage or analysis. By focusing only on the data that’s recently changed, CDC significantly reduces the resource burden and processing time compared to replicating all the data in the source. This enables businesses to minimize data latency and streamline their data processing workflows. CDC operates by continuously monitoring changes in data sources, such as inserts, updates, and deletions, capturing exact details like what data was inserted, updated, or deleted, and providing near real-time data access. The technique allows organizations to gain insights faster, maximizing their data’s value without increasing the task load on their teams or infrastructure. CDC is highly scalable and can adjust to increasing volumes of data without major reconfigurations, making it a versatile solution for various industries.