We handle the implementation
We review the jobs and their nightly sequence, then build the selected replacement workflow.
Modernize your DataStage jobs. We’ll handle the move.
Our nightly customer load depends on a DataStage job sequence. Engineering is tied up. Can you preserve the matching rules and job order, move the load, and keep the warehouse current?
Mage
Yes. We’ll handle the selected rebuild, check the customer records, and take on ongoing operation within agreed limits.
- Preserve customer matching, job order and rejected-record handling
- Check the customer records and recovery rules before switching
- Run the selected workflow and flag decisions that need your team
- Use its data for questions, charts, and approved AI work
Start with one job. We’ll work out the plan with you.
Overview
We do the work. You get on with yours.
Get the customer records your team needs without another internal DataStage rebuild.
The work keeps running
We maintain the agreed customer records workflow and route exceptions to the people who can decide.
Your team uses the results
Check the customer records, get answers, and make charts with access you control.
Keep customer records right. We’ll handle the DataStage load.
Your nightly customer load depends on DataStage jobs finishing in the right order. We rebuild the agreed sequence, preserve the matching rules and check which records reach the warehouse.
DataStage nightly load
JobCustomer job
SequenceEarlier jobs
RulesMatch keys
RejectsHeld records
ResultWarehouse
ForApps team
Trace the nightly sequence. Review the stages, jobs that must finish first and paths for rejected records.
Wait for the source jobs, then match customers and load the warehouse.
Every night
Customers
Match keys
Check keys
Rebuild the complete load. Preserve customer matching, job order and the settings used for the nightly run.
DataStage
Customers41
Held2
Key#1042
Mage
Customers41
Held2
Key#1042
Compare accepted and rejected records. Check customer keys, changed values and rejected records against the existing load.
Move nightly loadReady for review
Approve a full nightly run. Confirm the delivered records and recovery plan before switching the schedule.
Illustrative workflow and sample values. We confirm the job types, custom stages, routines, and connections in scope before rebuilding.
We keep it running after the move.
Your team needs the customer data ready, not another job sequence to manage. We run the agreed load and surface the exceptions that need a decision.
Nightly customer loadResumed after source
Load matched customers
Load interruptedLoad checked
Source ready · Keys matched
Check before repeating a load
Agree what can safely rerun and verify customer records after recovery.
Load matched customers; hold rejects
41customers ready
2records held
Customer keys checked
Keep customer matching consistent
Check missing keys, duplicate customers and rejected records before delivery.
Keep up with customer growth
Plan the nightly load for busier customer inputs and check the agreed completion window.
Illustrative recovery and sample values. We agree which steps may run automatically, what to check afterwards, and when your team must decide.
Put your data to work.
Ask which customer records changed or were held for review. Make charts and build approved next steps from the same data the nightly load maintains.
Ask a question and explore the data behind the answer.
General Mage product demos. The workflow examples above are illustrative.
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
Illustrative team spaces and review stages.
Your systems
Run where you need it
Run in the cloud or on your own systems.
Your team
Choose who can do what
Set access for each team and approve changes before they go live.
Our support
Expert help beyond the move
Get help with questions, changes, and problems as your needs evolve.
Start with one DataStage job.
Which DataStage job or sequence supplies your customer data? Share its dependencies, required records, and what’s blocking the move. We’ll plan the rebuild and ongoing operation.