A data engineer is building an automated AWS Glue ETL pipeline that ingests compressed files from an Amazon S3 bucket and must support incremental processing. Which AWS Glue feature enables incremental ingestion?

Job bookmarks in AWS Glue track previously processed data during an ETL job, allowing subsequent runs to process only new or changed data. This is crucial for incremental ingestion, as it prevents reprocessing the entire dataset each time, saving time and resources. Workflows orchestrate multiple jobs, crawlers, and triggers but don't inherently manage incremental processing. Triggers initiate jobs based on schedules or events but don't track data state. Classifiers infer the schema of data but are not involved in managing incremental data processing.