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

**[AWS Builders](https://daily.dev/sources/aws-builders)** · 5 min read · 1 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://dev.to/aws-builders/enhancing-data-security-with-spark-a-guide-to-column-level-encryption-part-1-1oaa>

---

Tags: [#security](https://daily.dev/tags/security), [#aws](https://daily.dev/tags/aws), [#encryption](https://daily.dev/tags/encryption), [#spark](https://daily.dev/tags/spark), [#pyspark](https://daily.dev/tags/pyspark)

[View this post on daily.dev](https://daily.dev/posts/enhancing-data-security-with-spark-a-guide-to-column-level-encryption---part-1-ivxuasift)

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