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	<title>Ashwini Kumar &#8211; Noise</title>
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		<title>Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost</title>
		<link>https://noise.getoto.net/2023/10/04/query-big-data-with-resilience-using-trino-in-amazon-emr-with-amazon-ec2-spot-instances-for-less-cost/</link>
		
		<dc:creator><![CDATA[Ashwini Kumar]]></dc:creator>
		<pubDate>Wed, 04 Oct 2023 18:44:40 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[New enhancements in Trino with Amazon EMR provide improved resiliency for running ETL and batch workloads on Spot Instances with reduced costs. This post showcases the resilience of Amazon EMR with Trino using fault-tolerant configuration to run long-running queries on Spot Instances to save costs. We simulate Spot interruptions on Trino worker nodes by using AWS Fault Injection Simulator (AWS FIS).]]></description>
		
		
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