SQL Server Migration Made Easy with Azure Arc
In this Data Exposed episode, Microsoft Developer presents a walkthrough of the Azure Arc–enabled SQL Server migration experience, demonstrating streamlined migration workflows and Copilot-guided processes for database professionals.
SQL Server Migration Made Easy with Azure Arc
In this episode of Data Exposed, Microsoft Developer explores how migrating SQL Server to Azure can be dramatically simplified using the new Azure Arc–enabled SQL Server migration experience. This end-to-end workflow brings together discovery, assessment, provisioning, migration, and cutover into one unified interface.
Key Topics Covered
- Azure Arc Integration: See how Azure Arc enables a more seamless and cohesive migration journey for SQL Server workloads.
- Single Workflow: Experience assessment, planning, migration, and final cutover steps within a centralized platform.
- Built-in Copilot Guidance: Leverage integrated Copilot features and tutorials to help select the optimal migration path and address challenges as they arise.
- Hybrid and On-Premises Support: Designed for organizations modernizing their on-premises SQL Server databases or operating hybrid cloud environments.
- Operational Simplicity: The new tooling aims to accelerate migrations, reduce manual effort, and simplify operations at scale.
Episode Structure
- 0:00 Introduction
- 1:30 Discovery & Assessment
- 2:37 Demo
- 4:39 Demo – Start Migration with Copilot
- 5:30 Demo – Getting Started
Resources
- Azure Arc–based SQL Server Migration Documentation
- Connect on Twitter: Anna Hoffman
- AzureSQL Twitter
- Watch more Data Exposed
- Microsoft Azure SQL on YouTube
- Microsoft SQL Server on YouTube
- Microsoft Developer on YouTube
Conclusion
With the Azure Arc–enabled migration experience, organizations can modernize their SQL environments rapidly and with greater confidence. The integration of assessment, migration, and operational management in one place—supported by Copilot—empowers data professionals to move to Azure SQL Managed Instance with less complexity and risk.