Data Migration
Migrate from on-prem to cloud or legacy to modern stacks with zero downtime.
Diagnosis
What we fix first
Your legacy database is slow, expensive, and risky. You need to migrate without breaking production.
Platform blueprint
From messy inputs to trusted decisions
Plan
Inventory data, map targets, and define a wave-based cutover strategy.
Move
Migrate in waves using dual-write or change data capture where needed.
Validate
Reconcile counts, checksums, and business rules before cutover.
Cutover
Switch over with live monitoring and a tested rollback path.
Delivery plan
How the work moves
Assessment: Analyze schema, data volume, dependencies, and downtime tolerance.
Planning: Design migration strategy (big bang, phased, dual-write) with rollback procedures.
Execution: Migrate data with validation at every step. Monitor performance and integrity.
Cutover: Switch traffic to new system with minimal downtime. Keep old system as fallback.
Results
Outcomes your team can measure
Zero-downtime migration (or minimal planned window)
Data validation and integrity checks
Rollback procedures if issues arise
Performance benchmarks (before/after)
Deliverables
What you receive
- Migration scripts and ETL pipelines
- Data validation reports
- Rollback and disaster recovery plans
- Performance benchmarks and monitoring
- Handover documentation
FAQs
Practical questions
Can you guarantee zero downtime?
In most cases, yes. We use dual-write strategies and phased cutover.
What if something goes wrong?
We have rollback procedures and keep the old system running until cutover is validated.
How do you validate data integrity?
Row counts, checksums, and sample comparisons at every migration phase.