Automate large-scale data validation using Amazon EMR and Apache Griffin
Big Data Blog
This article discusses how to automate large-scale data validation using Amazon EMR and Apache Griffin after migrating data to AWS. The key points are:
Specifically, the article covers:
- An overview of the solution architecture involving Amazon S3, Amazon EMR, AWS Glue, and Amazon Athena
- Step-by-step instructions to deploy the solution using AWS CloudFormation templates
- Details on how the solution performs count validation and record-level validation between source and target data
- How to view the validation results and mismatched records in Amazon Athena
- Clean-up steps to remove the deployed resources
The article concludes by highlighting the benefits of using Python Griffin for accelerating post-migration data validation without writing code.
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