<ul><li>Log-Based CDC: This method uses the database’s transaction logs to capture changes. It’s efficient and doesn’t impact your main database performance, but it requires access to those transaction logs.</li><li>Query-Based CDC: Here, the system runs periodic queries to compare the current data with a previous snapshot. It’s straightforward but can be resource-intensive if you have a large dataset.</li><li>Trigger-Based CDC: This involves setting up triggers in the database that automatically flag changes. It’s precise and real-time but needs upfront setup and can add a slight performance overhead.</li><li>CDC in the Cloud: AWS Example: AWS makes CDC easy with services like Amazon Database Migration Service (DMS). You can perform partial or full loads for seamless data replication and migrations.</li></ul>

How to Capture Changes in Data (CDC)?

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