Build a pseudonymization service on AWS to protect sensitive data: Part 2

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