Snowflake Dynamic Tables Introduction (2026)

Official Snowflake documentation for Dynamic Tables.

Key facts surfaced (2026-05-19):

• Self-refreshing tables that "simplify data transformation and pipeline management without requiring manual updates or custom scheduling."
• TARGET_LAG parameter specifies maximum acceptable delay between base table and dynamic table updates (e.g., 5-minute lag).
• Snowflake automates orchestration of data refreshes, dependency tracking, scheduling, and execution.
• No custom code required for incremental updates.
• Curriculum reference: composable CDP equivalent of AEP CTAS pattern with auto-refresh for segment materialization (Module 4).