Legacy ETL migration
From Informatica PowerCenter, SSIS, DataStage and bespoke scripts to Qlik Talend Cloud. Pipelines are analysed, modernised and rebuilt on modern architecture.
Service · Data Migration
Migrating away from Informatica, SSIS or DataStage? Moving your data warehouse to the cloud? We guide complex migrations without business disruption — with assessment, parallel running, automated validation and proven rollback procedures.
Legacy data migration means modernising ETL, data warehouse or ERP platforms that have become too old, too expensive or too limited to keep up with current demands. cimt migrates four scenarios: legacy ETL (Informatica / SSIS / DataStage → Qlik Talend Cloud), cloud migration (on-premises warehouse → Snowflake), platform consolidation and ERP data migration. Every migration follows four risk-mitigating phases: assessment, parallel running, automated validation and rollback planning. You retain continuity, we keep you on track.
Four migration scenarios
The approach differs per scenario, but the discipline — assessment, parallel run, validation, rollback — is universal.
From Informatica PowerCenter, SSIS, DataStage and bespoke scripts to Qlik Talend Cloud. Pipelines are analysed, modernised and rebuilt on modern architecture.
From on-premises data warehouses (Oracle, SQL Server, Teradata) to Snowflake or a hybrid cloud strategy. Includes data movement, schema mapping and performance tuning.
Combine multiple data platforms into one coherent architecture — often the result of mergers or years of organic growth.
Migration of ERP data (SAP, Oracle, Microsoft Dynamics) during upgrades, cloud transitions or platform replacement — including data cleansing and master data harmonisation.
Our methodology
Migrations don't fail because the technology is hard — they fail because invisible dependencies are missed. Our phasing surfaces them before they cause pain.
| Phase | Practice |
|---|---|
| Assessment | Complete inventory of existing pipelines, dependencies and data flows — nothing moves without us knowing what it does. |
| Parallel running | The new and old environments run side by side during migration. The business sees no disruption and we can compare differences directly. |
| Validation | Automated reconciliation between old and new — row counts, sums, samples and hash comparison per dataset. |
| Rollback planning | For every phase a rollback procedure is defined before we proceed. If something goes wrong we are back on the old environment within hours. |
First know where you stand
In 1–3 weeks we map the scope, dependencies and risks of your migration — so you decide go/no-go and timeline on facts.
Frequently asked
For a mid-sized environment (50–200 pipelines) duration is 6–9 months including assessment, parallel running and cutover. Large enterprise migrations (500+ pipelines) are 12–18 months. Duration depends more on pipeline complexity and business-availability requirements than on the count itself.
No — we work in waves. The first wave delivers the initial pipelines on the new environment within 2–3 months, with parallel run and validation. Subsequent waves cover more complex or business-critical workloads. You build confidence and start decommissioning legacy licences earlier.
Every phase has a defined rollback procedure that is captured and tested before the phase starts. During parallel running the old environment stays active, so switching back is usually a matter of redirecting output rather than restoring data. We never give a go without knowing how to roll back.
Yes, combined with data cleansing and master data harmonisation. ERP migrations are often more complex than they appear because business rules and data meanings are encoded implicitly in the legacy environment. Our assessment phase makes those explicit before we start moving anything.