We handle the implementation
We review the selected workflow, build it on Mage, and check its required output.
Modernize a Cloud Composer DAG. Deliver the next data feed.
Our system rollout needs a scheduled customer feed. Our small data team is busy fixing Composer DAG tasks and dependencies. Can you rebuild that feed, check each scheduled period, 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 supported DAG tasks and external-job handoffs
- Check scheduled intervals, failed tasks and output
- Operate the feed and its agreed dependencies
- Explore customer 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.
Get the scheduled customer feed delivered while your data team stays focused on the rest of the 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 DAG dependencies to a feed ready for the new system.
Cloud Composer, now Managed Service for Apache Airflow, manages the environment. Your feed still depends on DAG tasks, operators and external jobs. We rebuild one supported data workflow on Mage and take on its agreed operation.
Airflow DAGFrom customer source
Prepare data
Customer table
Daily interval
Trace the DAG tasksWe review DAG dependencies. We check external job steps.
Build the scheduled feed on Mage
Selected workflowCustomer feedCustomer source → target table
Prepare data · check interval
Build the data feedWe rebuild supported tasks. We keep the agreed schedule.
| Field | Composer | Mage |
|---|---|---|
| Customer IDs | Match | Match |
| Fields | Match | Match |
| Interval | Checked | Checked |
Values agree
Check each intervalWe compare IDs and fields. We check the data interval.
Then runs on MageWe operate each daily interval
Approve the switchWe plan for active 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.
Customer DAG feedAgreed response
Load customers
Job unavailableRecovery checked
Dependency restored · period checked
Recover the affected taskCheck task and external job state. Retry safely and verify the period.
Check the scheduled period
records ready
records held
Period checked
Check the actual dataCheck IDs and intervals. Hold invalid records.
Plan the schedule windowAgree the batch volume. Plan its schedule window.
Put your data to work.
Ask which customer periods are complete, chart late or held records, and use the maintained feed for 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 the DAG your rollout depends on.
Which Composer DAG delivers the feed, and what must be ready after each interval? Share its operators, packages and external jobs. We’ll check fit and scope the rebuild and ongoing operation.