Mastering CDC in Snowflake: Change Tracking, MERGE, Streams, Tasks, and Dynamic Tables In today’s modern data landscape, the ability to track and capture changes in real time has become essential …

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Comprehensive guide to implementing Change Data Capture (CDC) in Snowflake using five different approaches: Change Tracking for querying modifications over time intervals, MERGE operations for synchronizing data between tables, Streams for capturing table changes, Tasks for automating SQL execution on schedules, and Dynamic Tables for real-time data processing. Each method includes practical SQL examples demonstrating setup, configuration, and execution, with specific use cases for replication, incremental transformation, and event-driven processing in cloud-native data pipelines.