Change Data Capture (CDC) is a powerful method for incorporating streaming analytics into existing databases, and Debezium facilitates this process by sending change data through Apache Kafka. This approach is particularly useful when dealing with systems where understanding the changes themselves is analytically valuable, such as when tracking price changes of items in a MongoDB collection. Utilizing Debezium's MongoDB CDC Connector allows for efficient management of record changes by emitting them into a Kafka topic. By leveraging Kafka Streams, these changes are accumulated into a table and then emitted as a new stream of complete records, ensuring consumers can access fully updated data without needing to maintain their own document state or merge logic. This integration is achieved through a combination of Kafka Streams' abstractions and Debezium's metadata, which allows users to access not only before and after versions of data but also deltas, providing flexible options for data consumption. The system can be explored further through a demo environment that showcases the integration's capabilities, offering insights into how Debezium and Kafka Streams can enrich change-only data with historical document states.