This infographic explains how incremental updates make data pipelines efficient by syncing only new or modified records instead of entire datasets. While full syncs are needed for initial loads or fixing corrupted data, they are slow, resource-heavy, and unsuitable for real-time updates. Incremental updates rely on change data capture (CDC) through logs or timestamps to detect changes, enabling near real-time or streaming syncs. The workflow begins with a full table snapshot, followed by querying change logs to merge updates, add new records, or remove deleted ones. This approach minimizes bandwidth use, reduces compute costs, and ensures reliable, up-to-date replication.

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