Enhancing Data Security with Spark: A Guide to Column-Level Encryption - Part 1
This post describes how you can use PySpark aes_encrypt() function to encrypt sensitive columns when ingesting data. It is part of a series that shows how column-level encryption can be deployed at scale using AWS Glue, AWS KMS and Amazon Athena or Amazon Redshift. Introduction In an era where data breaches are increasingly common, securing sensitive data is not just a best practice but a necessity. As Werner Vogels, Amazon’s CTO, wisely put it: “Dance Like Nobody’s Watching....