AUTOMATE DATA MIGRATION
Migrating data from legacy systems to modern data warehouses? Ensure faster and accurate data migration testing with DataQ’s automated migration testing solution.
Migrating data from legacy systems to modern data warehouses? Ensure faster and accurate data migration testing with DataQ’s automated migration testing solution.
Today, most companies have identified the power of modern data warehouses, especially cloud-based databases, and are migrating data from legacy systems to more modern and robust solutions. The process of moving data across databases is called data migration. Some reasons why a company could be migrating data include:
Whatever the reason for data migration, migrating data creates possibilities for data loss, data mismatch, and corruption.
Data migration testing analyzes migrated data and verifies it for structure, format, and authenticity. It ensures that all data has successfully migrated from the legacy system to the new one and that data is in the correct format for the current database solution.
It’s clear why data migration testing is a critical part of the migration process - it ensures data is ready for consumption and that applications can continue to run without interruption or downtime.
Modern data migration tools allow IT admins to test data migration processes before actually migrating all data, either by simulating the migration process or by migrating data and testing it in real-time while still running applications on the legacy system. This allows admins to plan any format changes, tool requirements, or timeline changes that may be needed.
Data between source and destination is compared during data migration testing to ensure that all data has migrated. Migration testing tools highlight any discrepancies in data migration, and the difference can be Synced between source and destination.
Data between source and destination is first tested for migration checks. Pre-migration testing involves defining the scope for migration, mapping fields between source and target, matching the target’s data schema, taking data backups, and creating records for comparison.
The defined migration processes and systems are checked to ensure all systems are ready for migration to begin. Some activities include checking the migration document and ensuring it is unambiguous and understood by all teams involved, checking elements like ports, hardware, firewall, hosts, etc., to ensure they are configured for the target system, checking connectivity between all components, and performing security checks. This step prepares all systems for migration.
Migrated data and dependant applications are tested post-migration. Activities include checking whether complete data migration has occurred, ensuring all fields and components have migrated and are correctly mapped, ensuring all schema changes are updated, testing application functionality, and ensuring the application performance is optimal and operations are fully functional on the new database solution.
You can increase the accuracy while reducing the execution time of data migration testing by automating processes involved in testing. Businesses can deploy new solutions and do away with legacy systems faster thanks to automated testing, which expedites the process of ensuring data integrity in the migrated solution. DataQ will help you run migration testing processes in parallel and in real-time with just a few API calls or through our easy-to-use GUI. Request a demo to see how exactly it works.