Amazon EMR Serverless eliminates local storage provisioning for Apache Spark workloads
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This article announces serverless storage for Amazon EMR Serverless, which eliminates local storage provisioning for Apache Spark workloads.
- Reduces data processing costs by up to 20% with automatic intermediate data handling
- Eliminates job failures from insufficient disk capacity constraints
- No need to configure local disk type and size per application
- Fully managed, auto-scaling storage with encryption in transit and at rest
- Decouples storage from compute, allowing workers to release when idle
- Pay only for compute and memory resources consumed
- Generally available for EMR release 7.12 and later
EMR Serverless serverless storage simplifies Spark workload management by automating storage provisioning and reducing operational complexity and costs.
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