This post describes how you can use PySpark aes_encrypt() function to encrypt sensitive columns when... Tagged with aws, spark, encryption, dataprotection.

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This post is a guide to column-level encryption using PySpark's aes_encrypt() function for securing sensitive data. It explains the importance of column-level encryption, introduces the relevant technologies (PySpark, AWS Glue, AWS KMS, Amazon Athena, and Amazon Redshift), provides steps for encryption and decryption processes, and hints at further insights on scaling and managing encryption keys with AWS KMS.

Enhancing Data Security with Spark: A Guide to Column-Level Encryption - Part 1