Outdated databases and legacy systems make it hard to innovate. Whether you’re dealing with performance lags, security gaps, or integration issues, staying on old infrastructure limits your business. Moving to Azure or Dynamics 365 is a strategic upgrade—but only if the migration is done right.
This blog offers a comprehensive Microsoft Data Migration Services tutorial, walking you through tools like Azure Database Migration Service, Data Migration Assistant, and other core services that simplify database and application transitions. Whether you’re a systems architect, IT manager, or database administrator, this guide delivers everything you need to know.
Table of Contents
What Are Microsoft Data Migration Services?
Microsoft Data Migration Services is an umbrella term for a set of tools designed to help organizations transition from legacy or on-premises systems to Microsoft’s modern cloud platforms—primarily Azure and Dynamics 365. Each tool addresses a specific aspect of the migration lifecycle:
Tool | Function |
Data Migration Assistant (DMA) | Assessment of database compatibility, risk identification, and remediation suggestions |
Azure Database Migration Service (DMS) | Full data and schema transfer with minimal downtime |
Azure Migrate | Application and VM migration planning |
Dynamics 365 Data Import Wizard | Simple, structured data uploads to Dynamics 365 apps |
Together, these services create a roadmap for secure, efficient, and scalable data migration.
Why Use Microsoft Data Migration Services Azure Database Tools?
Migrating to the Microsoft Data Migration Services Azure database ecosystem offers substantial advantages:
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- Cloud-native features: Scalability, automatic updates, and global reach
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- Cost efficiency: Pay-as-you-go pricing models
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- Built-in security: Encryption, compliance, and threat detection
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- Rich ecosystem: Integration with Microsoft 365, Power BI, Power Apps, and more
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- Minimal disruption: Tools like Azure Database Migration Service and Data Migration Assistant reduce downtime and risk
Full Walkthrough: Azure Database Migration Service Step by Step
When planning a move from on-premises or legacy systems to Azure SQL, Azure Database Migration Service (DMS) is your go-to solution. Here’s a step-by-step breakdown to help you understand and implement the process confidently.
Step 1: Pre-Migration Assessment Using Data Migration Assistant (DMA)
Start by using the Data Migration Assistant, a lightweight yet essential tool:
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- Run assessments: Detect compatibility issues between source and Azure targets
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- Evaluate deprecated features: Flag outdated functions or syntax that won’t work in Azure
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- Review performance blockers: Suggestions to fix poor indexing, inefficient joins, and legacy stored procedures
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- Generate a migration report: Offers remediation advice, export options, and estimated effort levels
Run DMA on all databases you intend to migrate. The cleaner your pre-migration state, the smoother the actual process.
Step 2: Provision Azure Database Migration Service
Log in to the Azure Portal and create a new instance:
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- Go to Create a Resource > Databases > Azure Database Migration Service
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- Select subscription and region
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- Choose the Premium pricing tier if you’re handling large databases or require online migrations
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- Attach a Virtual Network (VNet) to allow communication between on-prem and Azure services
This instance acts as the control center for your migration.
Step 3: Create a New Migration Project
Within the newly created Azure DMS instance:
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- Click on + New Migration Project
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- Assign a project name and choose migration type (e.g., SQL Server to Azure SQL Database, Oracle to Azure Database for PostgreSQL, etc.)
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- Select the appropriate source and target from drop-down menus
Your migration project will hold all configuration details and logs for traceability.
Step 4: Configure Source and Target Connections
For each side of the pipeline:
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- Input server names or IPs
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- Authenticate using SQL logins, Windows authentication, or service principals
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- Validate connectivity—Azure DMS requires that both source and destination be accessible from the same VNet or through VPN/ExpressRoute
Test connections to ensure that DMS can communicate seamlessly with both ends.
Step 5: Select Databases and Migration Mode
Choose the databases you want to migrate. Options include:
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- Full database migration
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- Partial migration (specific tables, stored procedures, etc.)
Then choose a mode:
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- Offline migration: Requires downtime during cutover
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- Online migration: Keeps source and destination in sync until final switchover
Online migration is recommended for production databases with strict uptime requirements.
Step 6: Run the Migration
Once configured, start the migration. The Azure DMS engine will:
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- Extract schema and data from the source
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- Replicate it to the target Azure SQL database
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- Sync changes if using online mode
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- Display progress and errors in real-time within the portal
Unlike older migration tools, Azure DMS allows you to monitor throughput, latency, and retry logic as the migration unfolds.
Migration Paths for Specific Platforms
Azure supports multiple platforms, not just SQL Server. Here are platform-specific highlights integrated directly into your Microsoft Data Migration Services tutorial:
SQL Server to Azure SQL Database
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- Use DMA to evaluate feature compatibility
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- Azure SQL doesn’t support SQL Server Agent—schedule jobs using Logic Apps or Azure Automation
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- Migrate logins manually or use scripts for credential transfer
Oracle to Azure Database for PostgreSQL
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- Use Ora2Pg in combination with Azure DMS
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- Manual tuning of stored procedures is required due to syntax differences
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- Foreign key constraints and data types may need refactoring
MySQL to Azure Database for MySQL
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- MySQL replication settings should be disabled before migration
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- Review default storage engine compatibility (InnoDB is preferred)
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- After migration, re-establish user permissions manually
MongoDB to Azure Cosmos DB
Requires enabling Change Streams for live data capture
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- Azure Cosmos DB offers native support for MongoDB API
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- Indexing and partitioning schemes must be redefined
This built-in, scenario-specific detail eliminates the need to send users off to external documentation, making the blog self-contained and more useful.
Classic vs. Modern: Azure Database Migration Service
The phrase “Azure Database Migration Service Classic” refers to earlier versions of the service that lacked advanced monitoring, flexibility, and automation. Here’s how it compares:
Feature | Classic DMS | Modern DMS |
Portal Integration | Limited | Fully embedded in Azure Portal |
Supported Platforms | Narrow | Broad and expanding |
Monitoring Tools | Basic | Integrated with Azure Monitor |
VNet Integration | Manual | Fully supported |
Performance | Slower | Optimized for scale |
For any new migration, the modern experience offers stronger support, faster processing, and better insights.
Microsoft Dynamics 365: Data Migration Without DMS
If your goal is to migrate customer records, sales data, or finance details into Dynamics 365, you’ll use tools tailored for business apps:
Dynamics 365 Data Migration Steps:
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Prepare Data in Excel or CSV
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- Clean duplicates
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- Standardize fields
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- Map columns to Dynamics 365 entities
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Use the Data Import Wizard
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- Navigate to Settings > Data Management > Imports
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- Upload your file and define mappings
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- Start the import and monitor progress
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Automate with Power Platform
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- Use Power Automate to schedule recurring syncs
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- Power Query helps clean and transform data before it enters Dynamics
Unlike database migrations, Dynamics 365 imports are schema dependent. Plan accordingly.
Best Practices for Microsoft Data Migration Services
Make your Microsoft Data Migration Services Azure database experience smooth with these key practices:
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- Run multiple DMA scans: Especially after code or schema changes
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- Test on non-production environments: Validate mapping, indexing, and security rules before live cutover
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- Enable Azure Monitor: Track errors, slow queries, and service health during migration
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- Rebuild indexes post-migration: Optimize performance in Azure’s cloud database engines
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- Assign permissions carefully: Azure roles differ from on-prem systems; map them correctly
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- Get a migration service provider: Ensure a secure, seamless transition with zero data loss and expert support throughout.
Why Choose Data Semantics as Your Migration Service Providers
With 15+ years of experience in enterprise data management, Data Semantics delivers best-in-class Data Migration Services to ensure seamless, secure, and complete transitions. Our team of 450+ experts ensures zero data loss, minimal disruption, and full compliance, turning complex migrations into business opportunities.
Beyond migration, we offer a comprehensive range of services, including Consulting, Audits, Implementation, and Managed Services, supported by expertise in data governance, DevOps, and legacy system modernization. Our capabilities extend to BI & Visualization, Process Automation (RPA, BPM, EDI, Hyper Automation), and AI & ML, helping organizations unlock data-driven insights and drive growth. Leave it to the experts at Data Semantics to make your data a powerful asset.
Final Thoughts
Modernizing your systems with Microsoft Data Migration Services is no longer optional—it’s strategic. With tools like Azure Database Migration Service, Data Migration Assistant, and Dynamics 365 import options, your path to the cloud is smoother than ever. Instead of chasing fixes, you get stability, speed, and scalability.
Whether you’re migrating SQL Server to Azure SQL, moving ERP data into Dynamics 365, or consolidating legacy systems, these services are your foundation for success.
Need help navigating your migration journey? We partner with organizations to plan, assess, and execute cloud migrations using Microsoft Data Migration Services. Schedule your free consultation to see what’s possible.