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easyML Pipelines
A team manually runs their ML training steps in order: data extraction → preprocessing → feature engineering → training → evaluation. One step fails and they re-run from the beginning. A colleague suggests using Airflow. What core problem does an ML pipeline DAG solve that manual sequential execution does not?