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A data team already maintains Apache Airflow DAGs with dependencies, retries, and scheduled backfills. It wants to run them on a managed AWS service without operating the Airflow scheduler infrastructure itself. Which service best fits?
Published
- An S3 bucket alone with DAG files, without any service running the scheduler.
- A single EventBridge schedule with no workflow runtime, expecting it to execute every Airflow DAG construct.
- Amazon Data Firehose as the execution engine for arbitrary Airflow operators.
- Amazon Managed Workflows for Apache Airflow.
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