Core Data Modernization Services
The full path off a legacy stack onto a modern cloud platform, sequenced so the business keeps running the whole way.
Legacy data migration
Moving your data off Teradata, on-prem SQL Server, Oracle, or Hadoop onto Snowflake or Databricks. We migrate in phases, reconcile every table row-by-row, and keep the old system live until the new one has earned your trust.
- Phased, not big-bang
- Row-by-row reconciliation, zero silent loss
- Old system stays up until cutover is proven
Data warehouse modernization
Replacing a legacy or self-managed warehouse with a cloud-native one. Not a lift-and-shift that carries the old problems across, but a re-model that fixes what was broken before.
- Re-modeled, not lifted-and-shifted
- The old design flaws get fixed, not copied
- Cost-tuned so the new bill is lower, not higher
Pipeline and workload re-platforming
Your ETL jobs, stored procedures, and scheduled workloads rebuilt on modern tooling. We translate legacy logic into dbt, Airflow, and Spark, tested against the old outputs so nothing silently changes.
- Legacy logic rebuilt, not just relocated
- Tested against old outputs, number for number
- Documented so your team owns it afterward
Migration de-risking and cutover
The part that keeps CTOs up at night. We run old and new in parallel, reconcile continuously, and only cut over when the numbers match. Rollback stays possible until you say go.
- Parallel run before any cutover
- Continuous reconciliation, not a one-time check
- Rollback available until you are ready
