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Training Schedule a Data Flow

Craig Scott edited this page Jun 9, 2026 · 1 revision

Training: Schedule a Data Flow

What you'll learn: how to run a deployed data flow automatically on a schedule, using cron-style frequencies. You need: Administrator access type in an application (UI label "Tenant"), and a deployed data flow (see Training: Create a Data Flow). Time: 10 minutes.

Before you start

A Flow Schedule links a data flow to one or more frequencies — each frequency is a cron expression that fires the flow. The schedule and each frequency have their own Active switches, so you can build everything first and switch it on when ready.

Steps

  1. Go to Left menu → App Management → Flow Schedules. (Fallback: header Search → "Flow Schedules".)
  2. Click +. In Create a new Data Flow Schedule, type the Name (e.g. TRAINING Hourly Run), pick the Data Flow to run, and decide whether to check Active now or leave it off while you finish setup. Flow schedule dialog
  3. Click the orange +. You land on the schedule's detail page (tabs: DETAILS, SCHEDULE DATA CHANGES, DATA FLOW SCHEDULE FREQUENCIES).
  4. Open the DATA FLOW SCHEDULE FREQUENCIES tab and click +. In Create a new Data Flow Schedule Frequency:
    • Type the Name (e.g. Hourly).
    • Pick the Schedule Type and set the cron Config (e.g. 0 * * * * for every hour on the hour).
    • Payload Data lets you pass a fixed input payload to each run.
    • Check Active when you want this frequency to fire. Frequency dialog
  5. Click the orange + to save the frequency.

Check your work

The schedule's detail page lists the frequency. When both the schedule and the frequency are Active, runs appear in Logs → Data Flow Logs and on the Flows & Scripts → Execution Metrics dashboard at the cron interval.

Try it yourself

Add a second frequency to the same schedule — for example 0 6 * * 1 (Mondays at 06:00) — and note that one schedule can fire on several rhythms. Leave Active off if you don't want it running in your application.

Related training

Training: Create a Data Flow · Training: Investigate Application Logs

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