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	<title>Veena Vasudevan &#8211; Noise</title>
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		<title>Amazon EMR Serverless supports larger worker sizes to run more compute and memory-intensive workloads</title>
		<link>https://noise.getoto.net/2023/02/15/amazon-emr-serverless-supports-larger-worker-sizes-to-run-more-compute-and-memory-intensive-workloads/</link>
		
		<dc:creator><![CDATA[Veena Vasudevan]]></dc:creator>
		<pubDate>Wed, 15 Feb 2023 21:37:21 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[Amazon EMR Serverless allows you to run open-source big data frameworks such as Apache Spark and Apache Hive without managing clusters and servers. With EMR Serverless, you can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. EMR Serverless automatically scales resources up […]]]></description>
		
		
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		<title>Add your own libraries and application dependencies to Spark and Hive on Amazon EMR Serverless with custom images</title>
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		<dc:creator><![CDATA[Veena Vasudevan]]></dc:creator>
		<pubDate>Tue, 10 Jan 2023 17:38:18 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[Amazon EMR Serverless allows you to run open-source big data frameworks such as Apache Spark and Apache Hive without managing clusters and servers. Many customers who run Spark and Hive applications want to add their own libraries and dependencies to the application runtime. For example, you may want to add popular open-source extensions to Spark, […]]]></description>
		
		
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