Schedule Randomization for Data Science Scheduler

You can now configure a randomized start window for interval-based schedules in the Data Science Scheduler. When you enable this option, the scheduler selects a random offset within a specified window for the first execution. This approach distributes workload start times and helps avoid resource contention. Subsequent executions occur at fixed intervals from the time of the first run.

For more details, see the Data Science Scheduler.