What feature in AWS Glue jobs can help developers process only incremental data each run?

Enabling job bookmarks on AWS Glue jobs is the correct choice because job bookmarks are specifically designed to track the state of data in your ETL process. When job bookmarks are enabled, AWS Glue keeps track of the last successfully completed run and remembers which data has already been processed. This capability allows the job to only process new or changed data that has arrived since the last run, rather than reprocessing all data from the start. This incremental processing enhances efficiency and reduces processing time and costs, particularly in data workflows where data is continuously added or modified.

While reading data using a DataFrame can facilitate data operations, it does not inherently provide functionality for incremental data processing. Custom logic to track processed S3 objects would require additional development efforts and could introduce complexity and maintenance overhead. Deleting processed objects from Amazon S3 may help manage storage but does not directly address the requirement for processing only new or changed data during subsequent job runs. Hence, enabling job bookmarks provides a built-in and optimized solution for incremental data processing in AWS Glue jobs.