Data & cloud migrations
Move forward without losing what matters.
A migration should make the next stage of the business possible. We connect dependency mapping, data validation and staged delivery to a destination your applications and teams can actually use.
Talk to an expertWhat we deliver
A better destination. A controlled transition.
Keep the business requirements visible throughout the move: data integrity, continuity, usable reporting and a platform that is easier to operate. The cutover is one step in a complete delivery plan.
- Discovery and dependencies
- Inventory applications, data sources, integrations and ownership. Identify what must move together and what needs to keep running during the transition.
- Destination design
- Define the target architecture, access controls and data model. Choose migration stages around business dependencies and acceptable interruption.
- Data movement and validation
- Build repeatable extraction, transformation and loading workflows. Reconcile source and destination data so stakeholders can trust the new environment.
- Cutover and handover
- Rehearse the move, define rollback criteria and monitor the transition. Deliver operational documentation and retire legacy resources when validation is complete.
Our approach
A clear path from the first step.
Define success
Agree on continuity, data quality and acceptance criteria before selecting the migration path.
Prove the move
Validate a representative workload and data set. Use the findings to refine sequencing, reconciliation and rollback.
Transition with control
Execute in stages, verify each destination and complete the operational handover with your team.
Our work
The experience behind the service.
Explore the engineering work and business context in our case studies.
Marketing intelligence for smarter investment.
How Wagner helped Barbra connect marketing spend to campaign performance, compare return across three advertising channels, and build the data foundation for forecasting and budget planning.
Read case study DeprisaEngineering Deprisa’s cloud backbone for logistics at scale.
Cloud rearchitecture on Azure, bringing protected ingress, independent services, governed APIs, and observable operations to Deprisa’s logistics platform.
Read case studyCan we migrate in stages?
Yes. We map dependencies and design a phased plan when the systems permit it. Each stage has validation and rollback criteria so the next move is based on evidence.
Does migration require downtime?
It depends on the source systems, data consistency requirements and destination. We agree on an acceptable cutover window and assess replication or staged transitions where appropriate.
Do you also transform data for analytics?
Yes. The scope can include ingestion, normalization and a reporting-ready data model. Barbra is an example of a cloud data foundation built to support marketing investment decisions.
Ready to stabilize and scale your cloud?
Start with a technical conversation about the infrastructure issues creating risk, instability, or friction for your team.
Talk to an expert