Migrate to Azure Databricks
KPI Partners migrates Oracle, SQL Server, Informatica, Teradata and Hadoop workloads to the Azure Databricks lakehouse with accelerator-led conversion and side-by-side validation, then puts analytics and AI to work on the same governed data.
Migration paths
Every path starts with an assessment, so you know the scope, the risk and the wave plan before anything moves.
Schema, PL/SQL and ETL conversion to Delta Lake and Spark, with row-level reconciliation against the source. Our lead migration path, backed by a Databricks Migration and Modernization specialization for Oracle.
T-SQL, stored procedures and SSIS packages moved to Databricks SQL and Lakeflow pipelines.
Mappings and workflows converted to Databricks notebooks and Lakeflow pipelines, with lineage carried into Unity Catalog.
BTEQ, macros and warehouse models moved to the lakehouse, with performance tuned on Databricks SQL.
Hive, Spark and Oozie workloads moved off cluster management and onto a governed, serverless-ready lakehouse.
Selective moves where consolidation on Azure Databricks fits your data strategy, assessed workload by workload.
Our approach
Automation does the heavy lifting on code conversion. Reconciliation proves the numbers match before your users move.
Automated inventory of code, jobs, dependencies and usage, so every workload has a size, a risk score and a wave.
Accelerator-led conversion of SQL, PL/SQL, ETL mappings and schedules into Databricks notebooks, Databricks SQL and Lakeflow pipelines.
Side-by-side runs and row-level reconciliation against the source before any user moves.
Wave-based cutover with rollback plans, so the business keeps reporting throughout.
Cluster policies, Photon and cost guardrails, with Unity Catalog governance in place from day one.
After the move
Migration is the start. The same governed data powers analytics, AI and agents.
Power BI on Databricks SQL, and Databricks AI/BI dashboards and Genie for questions in plain language.
Machine learning, GenAI and agents built on the same governed data, using Mosaic AI and Azure OpenAI.
Governed domain data products shared across teams and partners with Delta Sharing.
Built for Azure
Azure Databricks is a first-party Azure service, so the lakehouse fits the identity, security, networking and billing you already run.
Microsoft Entra ID single sign-on and access, mapped into Unity Catalog permissions.
Private Link, VNet injection and Azure Key Vault patterns set up as part of delivery.
Unity Catalog lineage and access controls, visible in Microsoft Purview.
Azure Databricks consumption counts toward your Azure commitment.
Engagement models
Fixed scope and fixed price at the start of every engagement. Migration, AI and managed services are scoped and priced with you after the assessment.
| Engagement | What you get | Typical duration | Typical investment | Funding | You leave with |
|---|---|---|---|---|---|
| Migration Assessment | Inventory, complexity scoring, target architecture on Azure Databricks, business case and wave plan | 2 to 3 weeks | Complimentary, fixed scope | Microsoft partner funding where eligible | A sized, prioritized migration plan |
| Quick Start proof of value | One priority workload migrated and validated on your data, using our accelerators | As per aligned scope | As per aligned pricing | ECIF where eligible | Evidence on your own workload |
| Migration waves | Accelerator-led migration in fixed-price waves, with side-by-side validation | As per aligned scope | As per aligned pricing | Azure funding where eligible | Workloads live on Azure Databricks |
| Analytics, AI and agents | AI/BI, Genie, machine learning and agents on the migrated data | As per aligned scope | As per aligned pricing | Customer | AI in production with your users |
| Managed services | Run, optimize and govern the lakehouse: cost, performance, reliability and security | As per aligned scope | As per aligned pricing | Customer | A platform that keeps improving |
ECIF and Microsoft partner funding apply where your organization and the engagement qualify. Purchases through Azure Marketplace can count toward your Azure commitment.
Recognition
Recognized for delivering customer solutions on Microsoft Fabric.
Named among the analytics and AI companies driving business growth.
2026Recognized for forward deployed engineering talent.
2026Recognized for AI strategy consulting.
2026Talk to us
Two to three weeks to a full inventory of your estate, a target architecture on Azure Databricks, a business case and a wave plan. Complimentary and fixed scope.
