Data migrations planned to succeed, not just to happen.
Cyber Samurai delivers data migrations to Microsoft Azure, Azure SQL and Microsoft Fabric - with the discovery, testing and cutover planning needed to move critical data with confidence.
Problems we solve
Why migrations go wrong
Most failed migrations come from the same handful of avoidable issues.
What's included
What our data migration service delivers
- Discovery and dependency mapping
- Target architecture design on Azure / Fabric
- Data quality assessment and remediation plan
- Migration approach (lift-and-shift, re-platform, re-architect)
- Test strategy and validation harness
- Cutover planning with rollback
- Post-migration tuning and handover
How we work
A structured approach that removes cutover risk
Cyber Samurai runs a controlled discovery phase, agrees the target architecture, then delivers the migration in tested increments - with clear ownership, rollback and business sign-off at each step.
Outcomes
Outcomes from a well-run migration
Related services
Often paired with
How we deliver
How we run a successful migration
A proven, repeatable path from legacy system to trusted new platform.
Planning
Strategy, scope and roles agreed up front, department-by-department, phased or big-bang.
Our experience
Planning
In data migration, failing to plan really is planning to fail.
Strategy
Decide the migration approach - department by department, static then transactional, big-bang or phased.
Scope
How many records, which entities, transactional history or just balances? Scope drives every downstream decision.
Roles and responsibilities
Who's the solution architect? Who signs off? What does the SI, our team and the client own throughout?
Our experience
Implementation
Preparation and iteration are what separate smooth cutovers from painful ones.
Mapping
Map source to destination - tables, columns, data types and lengths. Precision here saves weeks later.
Cleansing
Cleanse at source where you can, translate in flight where you can't.
Migration cycles
Most projects need around five full cycles - iterate, don't innovate. Each cycle proves reconciliation works.
Insights
Related reading
Why Data Observability Should Start Before Your Migration Project
Start data observability before your CRM, ERP or finance migration. Baseline source health early to cut defects, rework, time and cost on complex programmes.
Read article
A Practical Data Migration Methodology for Mid-Market Programmes
A practical data migration methodology for CRM, ERP and finance moves: discover, map, migrate, reconcile and cut over with full in-scope proof.
Read article
What does a data migration analyst do?
What does a data migration analyst do? What skills are required? How can a DM Analyst help your migration project?
Read articleQuestions
Frequently asked
- Yes - SQL Server to Azure SQL, Managed Instance and IaaS are common migration paths.
Start the conversation
Plan a migration that lands cleanly.
What you'll get
- 30–45 min consultation
- Clear priority map
- Recommended first engagement
- No obligation to proceed
Not ready to talk? Download the SQL Server health check guide or score your data health .