Incremental loading refers to the process of updating a data warehouse by adding only new or changed data rather than reloading the entire dataset. This method is essential in the ETL process as it improves efficiency, reduces processing time, and minimizes the load on both the source systems and the data warehouse. By focusing on the differences between current and previous data states, incremental loading enables organizations to maintain up-to-date information without unnecessary data duplication.
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