Run a Dataflow

Like recipes, you can run dataflows manually or schedule them to run automatically at regular intervals to create your datasets and keep the data up to date. You can also stop a dataflow while it’s running.

• Run a Dataflow Manually
  Run a dataflow for the first time to create the datasets it defines. Run it again to update the dataset with the latest synced data.
• Schedule a Dataflow to Run Automatically
  You can schedule a dataflow to run after an event, such as when a sync job completes. Or you can schedule it to run hourly, weekly, monthly, or on specific days of the week or dates.
• Monitor a Dataflow Job
  In Data Manager, the Monitor's Dataflows tab shows status, start time, and duration of the last 10 dataflow jobs. It retains the last 7 days of job history. You can view error messages about each job, view the run-time details about every transformation that is processed, monitor the number of jobs remaining from your org’s 24-hour limit, and download error logs.
• Restore a Previous Version of a Dataflow
  CRM Analytics uses version history to create copies of dataflows when you edit them so you can restore a previous version.
• Set Dataflow Notifications
  Set dataflow notifications to receive an email notification when a dataflow job finishes. You can be notified only when there are warnings, only when the dataflow fails, or every time the dataflow finishes. You can also set an elapsed time notification to notify you when a dataflow is still running after a specified length of time.