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You have come to the right place to learn data migration testing. This course will help you understand how to check data when moving from one system to another. You will learn about data quality, accuracy, and security. The course covers steps like planning, validation, and troubleshooting errors. With hands-on practice, you will gain confidence in handling migration projects. This course also teaches common challenges, and automated testing tools to make data migration testing faster. Join now and become an expert in data migration testing. It will help you to make smooth and error-free data transfers.
Key Features
Key Skills You Will Gain from The Course
This Data Migration Testing Tutorial will help you gain the right skills. It will teach you to make error-free and secure data transfers in any system.
Basics of Data Migration
Take up this course to understand why data migration is important.
Data Validation Techniques
Learn how to check data accuracy after migration.
Error Handling Methods
Find ways to fix errors during data transfer.
Testing Tools and Automation
Learn about tools that help in faster Data Migration Testing.
Best Practices and Strategies
Learn expert tips for smooth data migration.
Get in touch with us now for more details about the course
| 1. What is Data Migration? |
| 2. Data Migration vs ETL vs Data Conversion |
| 3. Why Data Migration Testing is critical |
| 4. Business risks of poor migration |
5. Types of Data Migration:
|
| 6. Role of a Data Migration Tester |
| 7. Data Migration Life Cycle |
| Class Notes |
| Assignment |
| 1. Source System Overview |
| 2. Target System Overview |
| 3. Migration Architecture |
| 4. Mapping / Transformation Documents |
| 5. Business Rules & Validation Rules |
| 6. Data Migration Strategy |
| 7. Test Strategy & Test Plan for Migration |
| 8. Cutover & Rollback Concepts |
| Class Notes |
| Assignment |
| 1. When to use ETL approach in Data Migration |
| 2. ETL tools used in migration (Informatica / Talend / ADF / SSIS) |
| 3. Staging Area Concepts |
| 4. ETL Flow in Migration |
| 5. Incremental vs Full Load |
| Class Notes |
| Assignment |
| 1. Source to Staging Validation |
| 2. Staging to Target Validation |
| 3. Mapping Validation |
| 4. Row Count Validation |
| 5. Column Count Validation |
| 6. Data Type Validation |
| 7. Null & Default Value Validation |
| 8. Duplicate Data Validation |
| 9. Transformation Rule Validation |
| 10. Lookup Validation |
| 11. Derived / Calculated Column Validation |
| Class Notes |
| Assignment |
| 1. Download project Script |
| 2. Configure Project |
| Class Notes |
| Assignment |
| 1. Prepare Test Plan / Test Strategy |
| 2. Prepare Test Cases |
| 3. Backup Pre-Migration |
| 4. Restore Pre-Migration at Server |
| 5. Migrate Data in Post Environment |
| 6. Compare Pre & Post Data |
| 7. Row Count Validation |
| 8. Column to Column Mapping between Pre & Post |
| 9. Null & Default Value Validation |
| 10. Duplicate Data Validation |
| 11. Transformation Rule Validation |
| 12. Lookup Validation |
| 13. Derived / Calculated Column Validation |
| 14. Data Profiling on Source |
| 15. Source Data Quality Checks |
| 16. Identifying Bad / Invalid Data |
| 17. Data Volume Analysis |
| 18. Referential Integrity Checks |
| 19. Business Rule Verification |
| 20. Baseline Data Capture |
| 21. Data Migration Sign-off |
| Class Notes |
| Assignment |
| 1. Data Migration Defect Types |
| 2. Severity & Impact Analysis |
| 3. Common Migration Failures |
| 4. Risk Mitigation Strategiest Files |
| 5. Go-Live Checklist |
| 6. Post Go-Live Validation |
| Class Notes |
| Assignment |

