Automate large-scale data validation using Amazon EMR and Apache Griffin
AWS Big Data
APRIL 4, 2024
Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data that has been moved from source to target. This data validation is a critical step, and if not done correctly, may result in the failure of the entire project. However, developing custom solutions to determine migration accuracy by comparing the data between the source and target can often be time-consuming.
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