The post demonstrates how to automate data governance on your data lake using AWS Glue Data Quality, sensitive data detection, and AWS Lake Formation tag-based access control to ensure data confidentiality and quality at scale.

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<p>This article discusses automating data governance on AWS data lakes using AWS Glue Data Quality, sensitive data detection, and AWS Lake Formation tag-based access control.</p>
<p>Specifically, the article covers:</p>
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<li>Data governance requirements like ensuring data confidentiality and data quality</li>
<li>Solution architecture leveraging AWS Glue Data Quality, sensitive data detection transforms, and Lake Formation tag-based access control</li>
<li>Provisioning resources using AWS CloudFormation</li>
<li>Granting permissions using Lake Formation tags for different user categories</li>
<li>Testing the solution across three use cases: new data ingestion, data drift, and fixing data quality issues</li>
<li>Conclusion and further reading resources</li>
</ul>
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Automated data governance with AWS Glue Data Quality, sensitive data detection, and AWS Lake Formation

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