Change Data Capture for Streaming ETL

Change Data Capture (CDC) is a process used to capture changes in a source database and stream these changes to a destination system, such as a data warehouse or data lake, in real-time through transaction logs. This method is particularly efficient for organizations looking to implement real-time data integration and analytics, offering advantages such as reduced system load, cost savings, and competitive edge through timely data insights. CDC, especially in the context of streaming ETL, ensures that data remains up-to-date across systems, facilitating applications in machine learning, real-time dashboards, and data applications. While log-based CDC provides high scalability and reliability, implementing it may present initial challenges, such as configuring the source database and handling the volume of change events at the destination. Solutions like Streamkap can streamline the implementation process by managing schema evolution and supporting various sources and destinations, thus simplifying the deployment of CDC pipelines.

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