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	<title>Shani Adadi Kazaz &#8211; Noise</title>
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		<title>How Nielsen uses serverless concepts on Amazon EKS for big data processing with Spark workloads</title>
		<link>https://noise.getoto.net/2025/01/28/how-nielsen-uses-serverless-concepts-on-amazon-eks-for-big-data-processing-with-spark-workloads/</link>
		
		<dc:creator><![CDATA[Shani Adadi Kazaz]]></dc:creator>
		<pubDate>Tue, 28 Jan 2025 16:37:22 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon EMR on EKS]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[In this post, we follow Nielsen’s journey to build a robust and scalable architecture while enjoying linear scaling. We start by examining the initial challenges Nielsen faced and the root causes behind these issues. Then, we explore Nielsen’s solution: running Spark on Amazon Elastic Kubernetes Service (Amazon EKS) while adopting serverless concepts.]]></description>
		
		
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