Find articles on implementing Change Data Capture (CDC) with Parseable for real-time data tracking.
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In the previous blog CDC Pipeline with Debezium, Kafka and Parseable, we learnt the concept of CDC, its use cases and description of some of the components involved in the pipeline like Debezium and Kafka.
Change data capture is a process used to track and capture changes (inserts, updates and deletes) in a database in real-time, allowing these changes to be recorded or streamed to downstream systems.
Databases are critical for any application. Data constantly gets updated, inserted, and deleted. In most of cases it is important for the business to keep track of these changes due to security concerns, auditing requirements, and to keep other relevant systems up to date.
Change Data Capture (CDC) has gained popularity, precisely to address this problem. CDC is a technique used to track all changes in a database and capture them in destination systems. Debezium is a popular CDC tool that leverages database logs as the source of truth, and streams the changes to Kafka and compatible systems like Redpanda.