Data Warehouse Migration

Whether you’re operating on SAP, Oracle, SQL Server or even flat files — we help you shift to a cloud-native, analytics-ready architecture with minimal disruption and maximum long-term value.

The Challenge

Rigid architectures with high costs and limited scalability
Siloed data and poor interoperability across business domains
Manual data pipelines and delayed access to insights
Limited support for real-time analytics and modern use cases

What you Get

A structured, low-risk path to a modern data platform — tailored to your business and future needs.

Data & AI Fitness Test: Evaluation of your current data landscape, governance maturity and modernization potential
Target Platform Design: Blueprint for Data Lakehouse, Semantic Layer or Data Mesh; platform selection options including Databricks, Microsoft Fabric, Snowflake, SAP Datasphere
Migration Execution: Near zero downtime (NZDT) data movement with integrated data quality checks and parallel run support to ensure a smooth transition and minimal business disruption.
Governance & Enablement: Design of post-migration operations and data governance frameworks; integration of metadata models, data catalogs and business glossary structures
Change & Adoption Support: Structured rollout roadmap (Pilot → Rollout → Optimization), including stakeholder enablement and operational readiness

Benefits

Scalable foundation for modern analytics and future AI use cases
Faster access to high-quality, trusted data across domains
Reduced migration risk through automation and phased rollout
Lower operational complexity and cost

Tech Stack

Databricks
Microsoft Fabrics
Snowflake
SAP Datasphere

Seamless Data Migration with Cirql One

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Data protection