Abstract

 Abstract: Data migration has become one of the most demanding proposals for IT company managers. Even though these projects earn high business benefits, such as reduced costs, improved productivity, and data manageability, they likely to involve a high level of risk due to the huge volume and criticalness of moved data. In order to reduce risk and guarantee that the data has been migrated and transformed successfully, it is essential to employ a thorough Quality Assurance (QA) strategy in migration projects. Testing is a key phase of migration project for delivering a successful migrated data and addressing any issues prior and after the migration process.Manual testing for data validation process is time consuming and inaccurate; so automated data validation assure data quality with highly reduced time, cost and maintaining good data quality. The paper proposed automation of data migration validation testing process for quality assurance and risk control across industries.

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