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	<title>Junaid Effendi, Pengyu Wang &#8211; Noise</title>
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		<title>How Socure achieved 50% cost reduction by migrating from self-managed Spark to Amazon EMR Serverless</title>
		<link>https://noise.getoto.net/2025/12/15/how-socure-achieved-50-cost-reduction-by-migrating-from-self-managed-spark-to-amazon-emr-serverless/</link>
		
		<dc:creator><![CDATA[Junaid Effendi, Pengyu Wang]]></dc:creator>
		<pubDate>Mon, 15 Dec 2025 19:23:31 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Socure is one of the leading providers of digital identity verification and fraud solutions. Socure’s data science environment includes a streaming pipeline called Transaction ETL (TETL), built on OSS Apache Spark running on Amazon EKS. TETL ingests and processes data volumes ranging from small to large datasets while maintaining high-throughput performance. In this post, we show how Socure was able to achieve 50% cost reduction by migrating the TETL streaming pipeline from self-managed spark to Amazon EMR serverless.]]></description>
		
		
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