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Building a GDPR compliance solution with Amazon DynamoDB

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This article discusses a solution for achieving GDPR compliance with Amazon DynamoDB when handling personal data and erasure requests. It highlights the challenges faced and the approach taken to efficiently locate and delete personal data stored in Amazon S3.

Specifically, the article covers:

  • Application overview storing data across Aurora, DynamoDB, and S3
  • Challenges in locating and purging personal data from S3
  • Transition to Parquet format with GZIP compression in S3 for cost-efficiency
  • Implementing a distributed mutex with DynamoDB to handle concurrent erasure requests
  • Details on building the mutex client and its execution loop
  • Conclusion on the scalable and cost-effective GDPR compliance solution


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