What is data migration testing?

In software testing, Data Migration Testing is conducted to compare migrated data with original data to discover any discrepancies when moving data from a legacy database(s) to a new destination database. Data migration testing encompasses Data Level Validation testing and Application Level Validation testing.

How do you perform data migration testing?

Here are 8 steps to follow in the data migration process.

1. Define the Scope.
2. Study requirements, Business Rules and Mapping Document.
3. Dependencies and Interactions.
4. Create Test Cases and Queries to Verify the Data.
5. Execute Test Cases.
6. Compare the Results.
7. Non-Functional Testing.
8. Functional Application Test.

How do I verify data after migration?

How to Ensure a Successful Data Migration: 6 Critical Validation…

1. Schema Validation.
2. Cell-by-Cell Comparison using QuerySurge.
3. Reconciliation Checks.
4. NULL Validation.
5. Ad Hoc Testing.
6. Non-Functional Testing.

What is test data guru99?

Test Data in Software Testing is the input given to a software program during test execution. Test data is used for both positive testing to verify that functions produce expected results for given inputs and for negative testing to test software ability to handle unusual, exceptional or unexpected inputs.

What is the process of data migration?

Data migration is the process of moving data from one location to another, one format to another, or one application to another. These days, data migrations are often started as firms move from on-premises infrastructure and applications to cloud-based storage and applications to optimize or transform their company.

What are the challenges of data migration?

8 Hurdles of a Data Migration

• Poor Knowledge of Source Data.
• Underestimating Data Analysis.
• Lack of Integrated Processes.
• Failure to Validate the Implementation.
• Late Evaluation of the Final Results.
• Lack of Collaboration.
• Inappropriate use of Expertise.