Migration Strategies for Microsoft Fabric

This document outlines the migration strategies and best practices for moving data and analytics workloads to Microsoft Fabric.

Strategy	Description	Use Case
Rehost	Lift and shift existing workloads with minimal changes to Fabric or Azure services	Quick migration, minimal disruption
Replatform	Modify workloads to leverage PaaS offerings in Fabric	Optimize performance and scalability
Refactor	Re-architect applications to be cloud-native and use Fabric's advanced features	Innovation and modernization

Migration Considerations

• Assess current workloads and dependencies
• Evaluate compatibility with Fabric services
• Plan for data movement and synchronization
• Address security and compliance requirements

Migration Tools

Tool	Description
Data Pipelines	Orchestrate data movement and transformation
Shortcuts	Simplify access and integration across data sources
Lakehouses	Consolidate data storage with flexible schema and governance

Migration Process

Step	Description
Discovery	Inventory existing assets and assess readiness
Planning	Define migration scope, timeline, and resources
Execution	Perform data migration, validation, and testing
Optimization	Tune performance and implement governance

Role	Responsibilities
Architect	Design migration strategy and target architecture
Engineer	Execute migration tasks and troubleshoot
Owner	Oversee project and ensure business objectives are met