Why Data validation is important in data migration?

Organizations choose to migrate their data due to various reasons. The data migration process is in itself a complex process and becomes even more complicated if huge amounts of data are involved along with complex applications. Concise planning leads to successful data migration, however, the data migration truly succeeds once you are confident that the migrated data is clean and error-free.

Data Validation in data migration process.

Data validation is the process which ensures data quality of the migrated data between the source and target system. It is about confirming that the data on the target side is the same as that on the source side, in order to avoid business disruption after going live. Data validation is an essential process while managing the cloud migration process as it is the final step to ensure everything has migrated properly and will work as expected in order to yield accurate results.  

Importance of Data Validation in Data Migration

Data validation is one of the most important factors that dictate the success of the data migration process. Data validation can be done in phases to catch the errors in the migrated data early on. The functional experts and migration team should make sure that the migrated data is correct and that the specified system transactions on the new platform are processed successfully.

Automated Data Validation

General practice of performing data validation is by involving human resources. This method requires a huge number of resources informed by experienced engineers. Even then this technique to validate the data is error-prone, cumbersome, costly, and time-consuming. Therefore utilizing tools that automated data validation process works best to ensure data quality while dealing with huge data sets.

Datametica has Pelican – the automated data validation tool, to perform data quality testing during the data migration process. Pelican helps in de-risking the data migration process by supporting cell-level validation (giving 100% accuracy), parallel running of both new and old systems, and reduces the unit testing associated with a modernization program. This also includes Table, Column, Row-level Comparison, in addition to Cell-Level Validation, with Selective Column Mapping. The validation can be scheduled or continuously run, for ‘zero coding’ and no data movement requirement. This ensures Pelican brings confidence in decommissioning Legacy Data Warehouses

Before sunsetting your legacy system, customers need to be fully assured that their data migration is done perfectly. Datametica provides that assurity by leveraging Pelican for data quality testing and using its other exclusive cloud migration tools that help businesses achieve data migration efficiently with reduced business risk. 

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