Build a pseudonymization service on AWS to protect sensitive data: Part 2
Big Data Blog
This article discusses how to consume a pseudonymization service on Amazon EMR for batch and streaming use cases to protect sensitive data. Specifically, the article covers:
- An overview of the solution architecture
- Using PySpark code for batch and streaming jobs to pseudonymize data
- Prerequisites and deployment steps for the batch and streaming solutions
- Testing and validating the batch and streaming solutions
- Cleaning up resources for the batch and streaming solutions
- Performance details and factors influencing performance
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