We handle the implementation
We review the selected workflow, build it on Mage, and check its required output.
Move an AWS Data Pipeline job. Keep the rollout on track.
We need to move scheduled AWS Data Pipeline jobs, but the same small team is delivering a system rollout. Can you take on one migration, preserve its timing and output, and keep it running?
Mage
Yes. We’ll scope the workflow, implement it on Mage, check the output, and take on agreed ongoing operation.
- Rebuild the selected job, schedule and preconditions
- Check normal runs, late inputs and catch-up periods
- Operate the job and flag decisions for your team
- Explore delivered data with questions, charts and AI
Start with one workflow and the rollout it needs to support.
Overview
We do the work. You get on with yours.
Move the scheduled job without pulling your engineering team away from the committed rollout.
We take on the operation
We maintain the agreed workflow and bring your team decisions that need approval.
Your team uses the results
Inspect the work, explore its data, and make approved changes with access you control.
From schedules and preconditions to a checked daily delivery.
AWS Data Pipeline is in maintenance mode, with no planned new features or region expansions. If you’re moving a job, we handle the agreed schedule, preconditions and output—not just its definition.
Job definitionFrom input file
Check input
Export file
Daily schedule
Trace the scheduleWe review job dependencies. We check input preconditions.
Build the scheduled export on Mage
Selected workflowDaily exportInput file → daily export
Check input · daily schedule
Rebuild the jobWe rebuild the chosen job. We keep its agreed schedule.
| Field | Data Pipeline | Mage |
|---|---|---|
| Period | Match | Match |
| Records | Match | Match |
| Delivery | Checked | Checked |
Values agree
Check each periodWe compare daily exports. We test late or missing input.
Then runs on MageWe run it after input arrives
Approve the cutoverWe plan the last and first runs. Your team approves the move.
We keep it running after the move.
We operate the agreed workflow on Mage. Safe recovery steps are checked; unclear results and changes outside the agreed rules go to your team.
Daily file jobAgreed response
Prepare export
Input arrived lateRecovery checked
Input received · catch-up checked
Handle a missed periodWait for the required input file. Run the agreed catch-up and check.
Check the daily export
records ready
records held
Export checked
Check scheduled outputCheck daily periods. Hold invalid records.
Plan the catch-up windowAgree the batch volume. Plan its catch-up window.
Put your data to work.
Ask which daily exports arrived, chart missed periods, and use the maintained export data in approved AI work.
Ask a question and explore the data behind the answer.
Fits your systems. Keeps you in control.
Choose where your data work runs and who can see or change it.
Runs where you need it
Team spaces
Access you control
Draft
Review
Live
Your systems
Keep your systems
Use agreed sources. Choose where it runs.
Your team
Control team access
Set the team’s access. Review each change.
Our support
Get ongoing help
Get help with issues. Plan agreed changes.
Start with one scheduled job.
Which AWS Data Pipeline job needs to move? Share its schedule, scripts, preconditions and required output. We’ll scope the migration and ongoing operation around your rollout.