Incremental models are a key feature in DBT that allow for efficient data processing by updating only new or changed data. This lesson covers the conditions under which incremental models operate, including the importance of target table existence and the refresh flag. It also introduces the right audit publish strategy, which emphasizes testing data before it is promoted to production, ensuring data integrity in critical applications. This content is beneficial for data engineers and analysts looking to optimize their data workflows.