Optimisation, Migration & Quality
Data migration services
Data migrations fail when dependencies are discovered after cut-over. We plan migrations between systems, SQL Server versions and platforms with impact assessed up front, reconciliation built in and a rollback plan that has actually been tested.
Discuss your environment
SQL ServerAzureSSIS
When teams bring us in
Signs you need Data Migration support
- A source system is being replaced and years of history must move with it
- You're upgrading SQL Server versions or moving to Azure
- Previous migrations left reconciliation gaps nobody closed
- Nobody knows which reports will be affected by the move
What's included
Our Data Migration work
- 01
Impact assessment
Every table, pipeline, view, dataset and report touched by the migration, mapped before cut-over.
- 02
Migration design
Mapping, transformation and phased cut-over plans agreed with system owners.
- 03
Reconciliation
Automated row-count and value checks between source and target at every phase.
- 04
Rollback planning
Documented, rehearsed fallback steps if a phase doesn't meet its checks.
FAQ
Data Migration — common questions
- How do you prove the migrated data is correct?
- With automated reconciliation — counts, sums and key comparisons between source and target — reported per table and signed off before cut-over.
- Can the old and new systems run in parallel?
- Often, yes. Parallel running is one of the options we plan for when the risk justifies it.
- What happens to reports that depend on the old system?
- We identify them during impact assessment and plan their update as part of the migration, so they don't break on cut-over day.
Related Dataventra solutions
Guides
- Guide · 7 min readHow to find everything that depends on a SQL Server table before you change itFind views, procedures, SSIS packages and Power BI datasets that depend on a SQL Server table — with sys.dm_sql_referencing_entities, recursive dependency queries and what they miss.
- Guide · 8 min readMonitoring SQL Agent job and SSIS package failures: a practical guideQuery msdb and SSISDB to find failed SQL Agent jobs and SSIS executions, slow runs, missing rows and stale data — and turn the queries into monitoring.
- Guide · 6 min readAutomatically creating Jira tickets for failed SQL Server Agent jobsDetect SQL Agent and SSIS failures, capture diagnostics and create Jira issues through the REST API — with deduplication, routing and secure credentials.
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Talk to us about Data Migration.
Tell us what you're running and what's getting in the way. We'll suggest a sensible first step.