Job Scheduler

A job scheduler ensures that data jobs run according to calendars, dependencies, or event-based triggers. Regular reporting, data refreshes, and large-scale transformations become difficult to manage without this component. The scheduler layer manages not just timing, but also job priority, retry policy, and failure handling. It occupies a central role in the operational backbone of data platforms.