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Devabrat Kumar

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Run Spark 31% faster and optimize compute costs with Amazon S3 Express One Zone on Amazon EMR

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By Suthan Phillips, Devabrat Kumar
| Amazon Web Services
As your Spark datasets grow, storage latency often becomes the constraint, impeding application performance. Query runtimes stretch, and the bottleneck shifts from compute to how fast each node can read from Amazon Simple Storage Service (Amazon S3). We benchmarked this directly on Amazon EMR with TPC-DS at 3 TB scale. On an 8-node Graviton4 cluster running Amazon EMR 7.13, Amazon S3 Express One Zone reduced total benchmark runtime by 31 percent.
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