What is change data capture?

This is a podcast episode titled, What is change data capture?. The summary for this episode is: <p>This episode of <em>Techsplainers</em> explores Change Data Capture (CDC), a powerful technique for identifying and synchronizing database changes across multiple systems in real-time. Host Matt Finio explains how CDC works by monitoring databases and transferring only the modified data—insertions, updates, or deletions—to target systems like data warehouses, data lakes, or streaming platforms. The discussion covers three primary CDC methods: log-based (monitoring transaction logs), timestamp-based (using modification timestamps), and trigger-based (executing stored procedures when changes occur). The episode highlights CDC's significant benefits, including enabling real-time analytics, facilitating cloud migrations, optimizing ETL processes, and improving AI performance through continuously updated data. Practical applications span various industries—from detecting fraudulent financial transactions and processing IoT device data to managing inventory and ensuring regulatory compliance.&nbsp;&nbsp;</p><p><br></p><p>Find more information at <a href="https://www.ibm.com/think/topics/change-data-capture" rel="noopener noreferrer" target="_blank">https://www.ibm.com/think/topics/change-data-capture</a></p><p>Find more episodes at <a href="https://www.ibm.biz/techsplainers-podcast" rel="noopener noreferrer" target="_blank">https://www.ibm.biz/techsplainers-podcast</a></p><p><br></p><p><strong>Narrated by Matt Finio&nbsp;</strong></p>