What does change data capture (CDC) do in CDX?

What does change data capture (CDC) do in CDX?

• A. CDC is unrelated to data synchronization.
• B. CDC translates data formats between systems.
• C. CDC only archives historical data.
• D. CDC detects changes in source data and propagates them to targets in near real-time for synchronization.

Answer: (D)

Change data capture in CDX focuses on detecting changes in the source data and propagating them to target systems in near real-time to keep datasets synchronized. It watches the source for inserts, updates, and deletes, captures those changes, and then delivers them to downstream targets so each system reflects the current state without needing full reloads. This enables low-latency, incremental replication and reduces workload compared to batch ETL. Translations of data formats and archival-only approaches describe different functions, so they don’t fit what CDC does in CDX.

Change data capture in CDX focuses on detecting changes in the source data and propagating them to target systems in near real-time to keep datasets synchronized. It watches the source for inserts, updates, and deletes, captures those changes, and then delivers them to downstream targets so each system reflects the current state without needing full reloads. This enables low-latency, incremental replication and reduces workload compared to batch ETL.

Translations of data formats and archival-only approaches describe different functions, so they don’t fit what CDC does in CDX.