Get On Track with the Flexible Scheduler

With dependent replications, recipes, and dataflows all running on separate schedules, timing has never been more important. The new flexible scheduler in gives you more precise control over when and how often your data jobs run, and how you receive notifications.

You’re no longer limited to scheduling data jobs by the hour or once a day. Now you’re free to schedule by hour, week, or month, on specific days of the week or dates in the month. The new scheduler is there for you whenever you edit your replication schedule, create a dataset from a recipe, or schedule a dataflow.

Schedule by Hour

Schedule by hour to run the data job at specified hourly intervals. You can specify what time the job starts each day, and on which days.

Schedule by hour

Select Stop queuing at a specific time to stop the data job from running after a certain time each day. For example, set a job to start at 6:00 am, run every hour, and stop after 5:00 pm to restrict runs to just office hours. Why run a job when nobody needs it?

Schedule by Week

Schedule by week to run the data job on a specific day or days each week.

Schedule by week

Schedule by Month

Schedule by month to run the data job on a specific day or days each month. By default, you can schedule the job to run on a relative day each month, for example, the first Monday. If you want the job to run on a specific date or dates, click Select specific dates and then select from the list.

Select Relative Dates Select Specific Dates
Schedule by month Schedule by month and specific dates

Stay Updated with Dataflow Notifications

When you schedule a dataflow, you also have the option to email notifications to the dataflow creator when the dataflow runs. You can send a notification every time the dataflow runs, only when there are warnings, or only when the dataflow fails.

Send email notifications
Note

Note

Email notifications are only available for dataflows.