COF-C03: SnowPro Core Certification

Dynamic tables in Snowflake let you define the result of a query (which can join or combine data from multiple source tables) as a table object, and Snowflake automatically manages the underlying pipeline, including dependency tracking and refresh scheduling based on a specified target lag. This eliminates the need to manually build and maintain streams and tasks to track transformation dependencies, which would otherwise be required with standard tables, streams, or transient tables. Materialized views, by contrast, are limited to a single source table and cannot join two tables.