Fabric Data Modernization

Migrate and unify datasets from varied on-premises or other cloud systems to the Microsoft Fabric platform for further processing.

Three-phased approach:

1. Advisory Assessment: Assess current on-premises and cloud data warehouse systems for complexity
   Microsoft Fabric architecture recommendation along with integrations

2. Implementation Data Upload: Upload historical data from on-prem or other sources to Fabric Refactor code: Convert DDL/DML/business logic to Fabric specific code Test: Ensure data reconciliation after migration

3. Run Recommendations Continuous analysis and reporting Continuous improvements
   Cost monitoring

Benefits:

1. Interoperability: Microsoft Fabric ensures seamless communication between different data and analytics solutions
2. Faster Migration
3. Cost Optimization

Services: Microsoft Fabric