Database Migration · Healthcare

Database migration for small healthcare teams

Legacy databases are often the quiet bottleneck in a small healthcare team: slow, hard to integrate, and difficult to back up, scale or connect to modern reporting. Moving them is risky if it is rushed — and straightforward if it is planned and validated.

We plan and execute database migrations for small international healthcare teams, from legacy systems to modern cloud platforms, with data validation at every step.

What we migrate

  • Sources: SQL Server, MySQL, PostgreSQL and other legacy databases
  • Targets: Azure SQL and other modern cloud platforms, chosen for the team's size and needs
  • Schema migration: tables, relationships, constraints and data types, reviewed — not just copied
  • Data validation: row counts, checks and sample reconciliation before and after cutover
  • Performance optimisation: indexing and query review so the new system is not just newer, but faster

How a migration is run

  1. Discover — inventory the source database, its dependencies and how the team uses it.
  2. Architect — choose the target, the migration approach and the cutover window.
  3. Build — migrate schema and data to a staging target first, never straight to production.
  4. Validate — reconcile data, test applications and reporting, and agree a rollback approach.
  5. Optimise — tune performance and hand over documentation and monitoring.

Migration is often the step that unlocks the other two services: once data is on a modern platform, data engineering pipelines and Power BI reporting become far easier to build and maintain.

Frequently asked questions

How do you minimise downtime during a migration?

By planning the cutover in advance, validating data before and after the move, and agreeing a rollback approach with the team. The exact approach depends on the source system and how the team works.

Which databases do you migrate from and to?

Common sources include SQL Server, MySQL and PostgreSQL, with Azure SQL and other modern cloud platforms as typical targets. Schema migration, data validation and performance optimisation are part of the work.

Can you work remotely with international healthcare teams?

Yes. Migration work is delivered remotely, with validation evidence shared before cutover.

Related services

Data engineering for healthcare · Power BI for healthcare · Group Consulting home

Start a Project — tell us about your current database via the contact form, and we will reply within one business day.