Change Data Capture (CDC) is a key data integration technique that tracks and records changes in a data source in real-time, enabling downstream systems like databases or data lakes to maintain up-to-date information. CDC is highly suitable for relational databases, capturing data changes at the operation level and offering fine-grained control over these changes while preserving transactional context. This method is essential for scenarios requiring data replication, synchronization, migration, or transformation. DeltaStream provides a platform for setting up CDC pipelines, allowing the efficient transfer of CDC logs from sources like PostgreSQL to sinks such as Kafka topics or analytics databases like Databricks. The process involves defining a source and a stream in DeltaStream to read CDC logs, followed by using a CREATE STREAM AS SELECT (CSAS) statement to propagate these changes into a Kafka sink, thereby ensuring data consistency and integrity across systems. DeltaStream's platform is noted for its ease of operation, scalability, and comprehensive stream processing capabilities.