Summary
Migrating unstructured and semi-structured data to Azure involves many moving parts — from assessing your current storage estate to executing a cutover with minimal downtime. Without a structured approach, organizations risk costly mid-migration corrections, security gaps, and data integrity issues.
What you learned
In this module, you learned how to:
- Assess your current storage environment and understand AI-readiness considerations for your data.
- Select an appropriate Azure target service, such as Azure Blob Storage, Azure Files, Azure NetApp Files, or Azure Managed Lustre.
- Establish security and identity controls to protect data throughout the migration.
- Evaluate migration strategies and choose between online tools like Azure Storage Mover, AzCopy, and Azure File Sync, and offline or ISV tools from partners like Komprise, Data Dynamics, and Cirrus Data.
- Understand Azure Storage Mover architecture and deploy and run it for your migration.
- Plan network and bandwidth requirements to avoid bottlenecks.
- Validate data integrity after migration to ensure completeness and correctness.
- Execute a storage cutover and transition workloads to Azure.
- Optimize your post-migration environment for cost, performance, and resilience.
Apply what you learned
With these skills, you can plan and execute a structured, end-to-end storage migration that minimizes downtime, ensures data integrity, and sets you up for cost-optimized, secure operations in Azure. Use the phases covered in this module — assess, plan, migrate, validate, and optimize — as a repeatable framework for future migration projects.