Move off legacy warehouses without losing trust in the numbers
Migrate Oracle, ODI, SAP BW and SQL Server warehouses to Azure and Databricks, with reconciliation proving every figure.
Overview
Legacy warehouses are expensive to run and hard to change, but the real risk in migration is mismatched numbers afterwards. We migrate in phases and run automated reconciliation between old and new until every agreed figure matches.
Sound familiar?
- Licence, hardware and support costs for the legacy warehouse keep rising
- ODI, SSIS or PL/SQL jobs are understood by one or two people
- Overnight batches no longer finish before the business day starts
- Past migrations left the business doubting the new numbers
What we deliver
Assessment and inventory
A catalogue of tables, jobs, dependencies and reports, with complexity scoring and a phased migration plan.
ETL to ELT conversion
ODI, SSIS and PL/SQL logic re-engineered as PySpark and Spark SQL on Databricks, not copied line by line.
Incremental loading and CDC
Replacing full reloads with incremental MERGE patterns and change data capture to shorten batch windows.
SAP and Oracle sources
Extraction from SAP S/4HANA, SAP BW, Oracle Fusion and Oracle EBS into the lakehouse.
Parallel run and reconciliation
Automated comparison of old and new outputs by measure, period and dimension until results are signed off.
Cutover and decommissioning
A controlled switch-over plan, rollback options and retirement of legacy components.
Technology
- Oracle
- Oracle Data Integrator
- SAP S/4HANA
- SAP BW
- SQL Server
- SSIS
- Azure Data Factory
- Azure Databricks
- Delta Lake
What you can expect
How we deliver
The same disciplined approach on every engagement, scaled to your scope.
Assess
Understand your current platform, data and priorities, and agree what success looks like.
Design
Target architecture and a phased plan, reviewed with your technical and business owners.
Build
Hands-on delivery with your team, tested and reconciled as we go.
Hand over
Documentation, runbooks and mentoring so your team owns the result.
Common questions
Anything else? Ask us directly.