How is incremental load often categorized in data processing?

Incremental load is often categorized by the size of the data being loaded because it refers to the process of transferring only the data that has changed or been added since the last load. This approach avoids the need to process the entire dataset, making data transfer more efficient and quicker, especially with large volumes of data.

Rather than loading an entire dataset all at once, incremental load focuses on optimizing performance by minimizing the amount of data processed during each load. This can be particularly beneficial when dealing with larger databases or systems that generate frequent updates, ensuring that only necessary data is transferred to maintain up-to-date records in the target system.

The other options pertain to different characteristics of data processing but do not specifically define how incremental load is categorized. Timing, source, or format could play significant roles in overall data management strategies, but they are not primary factors in the categorization of incremental loads.