Data Migration Testing
What is Data Migration Testing?
Data migration testing ensures that data is accurately transferred from one system to another while maintaining integrity, completeness, and consistency. This testing is crucial when upgrading systems, moving data to the cloud, consolidating databases, or changing infrastructure.
Key Objectives of Data Migration Testing
- Ensure data completeness – No data is lost during migration.
- Maintain data integrity – No corruption or modifications occur.
- Verify data consistency – Data in the new system matches the source.
- Confirm data transformation accuracy – If data format changes, ensure it follows business rules.
- Validate performance – Migration should occur within the expected time frame.
Types of Data Migration
Storage Migration – Moving data from one storage system to another (e.g., HDD to SSD, on-premise to cloud).
Database Migration – Transferring data between databases (e.g., Oracle to MySQL).
Application Migration – Moving data between applications or platforms (e.g., SAP to Salesforce).
Cloud Migration – Shifting data from local servers to cloud environments (e.g., AWS, Azure, Google Cloud).
Data Center Migration – Transferring data between physical locations.
Phases of Data Migration Testing
Assessment & Planning
Identify data sources and destinations.
Define data mapping and transformation rules.
Establish migration timelines and backup plans.
Pre-Migration Testing
Validate source data structure and quality.
Identify potential risks and dependencies.
Migration Execution & Testing
Perform trial migrations in a test environment.
Compare sample data between old and new systems.
Check for errors, missing data, and corruption.
Post-Migration Validation
Verify data accuracy and integrity.
Run business processes on the new system.
Ensure performance and scalability.