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Simplifying CDC from snapshots in Databricks Lakeflow Spark Declarative Pipelines

In data engineering, teams often receive daily full snapshots of data from legacy systems or third-party sources. Traditionally, ingesting these periodic snapshots and identifying what changed (inserts, updates, deletes) each day has been cumbersome. Engineers need to write and maintain source-specific Change Data Capture (CDC) logic for each data source. Databricks has introduced Lakeflow Spark Declarative […]