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Data Warehouse Modernisation · Cloud India

Move Your Data Platform to Where It Can Grow

Migrate legacy data warehouses and on-premise databases to modern cloud architectures - without losing history or disrupting reporting.

Legacy data warehouses are expensive, slow, and increasingly incompatible with the analytics and AI tools your business needs. Vijay Global replatforms your data estate to cloud-native, scalable architectures - validated, tested, and executed with minimal business disruption.

Move Your Data Platform to Where It Can Grow

Is This You?

Signs this service is what you need:

Your data warehouse is too slow for the query volumes your analytics team needs
Licensing and hardware costs for on-premise infrastructure are rising year on year
Connecting new analytics tools or AI services to your existing warehouse is blocked
Data refresh cycles are too long - reports are outdated by the time they are read
Your current platform does not support streaming or near-real-time data ingestion

What We Deliver

Data Estate Assessment

Full inventory of schemas, volumes, integrations, and data quality. Output: a modernisation plan with phased milestones and risk assessment.

Target Architecture Design

Lakehouse, data mesh, or hybrid architecture - selected based on your use case, scale, and team capability, not the largest available licence.

Ingestion Pipeline Build

Batch and streaming pipelines from structured and semi-structured sources - built for maintainability, not just initial delivery.

Data Validation & Quality

Source and target compared automatically at every migration batch. No data goes live until it passes reconciliation checks.

Legacy Decommission

Safe, documented retirement of the old platform after a defined stability period on the new architecture.

How We Deliver

1
Discovery
Data catalogue and audit. Schema analysis, dependency mapping, volume profiling. Output: modernisation plan.
2
Build & Migrate
Target platform configured. Ingestion pipelines built and validated in parallel. Data migrated and reconciled incrementally.
3
Cutover
Controlled cutover with validation gates. Reporting switched to new platform. Go/no-go decision made before each step.
4
Decommission
Legacy infrastructure retired after agreed stability period. Full documentation and handover completed.

Outcomes You Can Expect

Query performance improved on cloud-native processing architecture
Infrastructure licensing cost reduced after on-premise retirement
Analytics and AI tools unblocked by moving to an open, cloud-native format
Data refresh frequency increased - reports updated automatically, not manually
Full data lineage documented - every number traceable to its source

Related Services

Data Analytics Data Migration (Lift & Shift) Power BI / Digital Cockpit

Ready to Modernise Your Data Platform?

Share what's slowing your platform down - we'll map a phased path to a scalable, cloud-native architecture.