The Amazon EMR runtime for Apache Spark is a performance-optimized runtime for Apache Spark that is 100% API compatible with open source Apache Spark. With Amazon EMR release 7.9.0, the EMR runtime for Apache Spark introduces significant performance improvements for encrypted workloads, supporting Spark version 3.5.5.
For compliance and security requirements, many customers need to enable Apache Spark’s local storage encryption (spark.io.encryption.enabled = true) in addition to Amazon Simple Storage Service (Amazon S3) encryption (such as server-side encryption (SSE) or AWS Key Management Service (AWS KMS)). This feature encrypts shuffle files, cached data, and other intermediate data written to local disk during Spark operations, protecting sensitive data at rest on Amazon EMR cluster instances.
Industries subject to regulations such as the Health Insurance Portability and Accountability Act (HIPAA) for healthcare, Payment Card Industry Data Security…
