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	<title>Al MS &#8211; Noise</title>
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		<title>Apache Spark 4.0.1 preview now available on Amazon EMR Serverless</title>
		<link>https://noise.getoto.net/2026/01/26/apache-spark-4-0-1-preview-now-available-on-amazon-emr-serverless/</link>
		
		<dc:creator><![CDATA[Al MS]]></dc:creator>
		<pubDate>Mon, 26 Jan 2026 17:38:46 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
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		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[In this post, we explore key benefits, technical capabilities, and considerations for getting started with Spark 4.0.1 on Amazon EMR Serverless. With the emr-spark-8.0-preview release label, you can evaluate new SQL capabilities, Python API improvements, and streaming enhancements in your existing EMR Serverless environment.]]></description>
		
		
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		<title>Amazon EMR launches support for Amazon EC2 C7g (Graviton3) instances to improve cost performance for Spark workloads by 7–13%</title>
		<link>https://noise.getoto.net/2023/02/01/amazon-emr-launches-support-for-amazon-ec2-c7g-graviton3-instances-to-improve-cost-performance-for-spark-workloads-by-7-13/</link>
		
		<dc:creator><![CDATA[Al MS]]></dc:creator>
		<pubDate>Wed, 01 Feb 2023 17:57:28 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Foundational (100)]]></category>
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					<description><![CDATA[Amazon EMR provides a managed service to easily run analytics applications using open-source frameworks such as Apache Spark, Hive, Presto, Trino, HBase, and Flink. The Amazon EMR runtime for Spark and Presto includes optimizations that provide over twice the performance improvements compared to open-source Apache Spark and Presto. With Amazon EMR release 6.7, you can […]]]></description>
		
		
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		<title>Amazon EMR launches support for Amazon EC2 M6A, R6A instances to improve cost performance for Spark workloads by 15–50% </title>
		<link>https://noise.getoto.net/2022/12/13/amazon-emr-launches-support-for-amazon-ec2-m6a-r6a-instances-to-improve-cost-performance-for-spark-workloads-by-15-50/</link>
		
		<dc:creator><![CDATA[Al MS]]></dc:creator>
		<pubDate>Tue, 13 Dec 2022 19:34:13 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[Amazon EMR provides a managed service to easily run analytics applications using open-source frameworks such as Apache Spark, Hive, Presto, Trino, HBase, and Flink. The Amazon EMR runtime for Spark and Presto includes optimizations that provide over 2x performance improvements over open-source Apache Spark and Presto. With Amazon EMR release 6.8, you can now use […]]]></description>
		
		
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		<title>Amazon EMR launches support for Amazon EC2 C6i, M6i, I4i, R6i and R6id instances to improve cost performance for Spark workloads by 6–33%</title>
		<link>https://noise.getoto.net/2022/12/07/amazon-emr-launches-support-for-amazon-ec2-c6i-m6i-i4i-r6i-and-r6id-instances-to-improve-cost-performance-for-spark-workloads-by-6-33/</link>
		
		<dc:creator><![CDATA[Al MS]]></dc:creator>
		<pubDate>Wed, 07 Dec 2022 17:22:45 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Foundational (100)]]></category>
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					<description><![CDATA[Amazon EMR provides a managed service to easily run analytics applications using open-source frameworks such as Apache Spark, Hive, Presto, Trino, HBase, and Flink. The Amazon EMR runtime for Spark and Presto includes optimizations that provide over two times performance improvements over open-source Apache Spark and Presto, so that your applications run faster and at […]]]></description>
		
		
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		<title>Run Apache Spark 3.0 workloads 1.7 times faster with Amazon EMR runtime for Apache Spark</title>
		<link>https://noise.getoto.net/2021/01/19/run-apache-spark-3-0-workloads-1-7-times-faster-with-amazon-emr-runtime-for-apache-spark/</link>
		
		<dc:creator><![CDATA[Al MS]]></dc:creator>
		<pubDate>Tue, 19 Jan 2021 19:31:43 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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					<description><![CDATA[With Amazon EMR release 6.1.0, Amazon EMR runtime for Apache Spark is now available for Spark 3.0.0. EMR runtime for Apache Spark is a performance-optimized runtime for Apache Spark that is 100% API compatible with open-source Apache Spark. In our benchmark performance tests using TPC-DS benchmark queries at 3 TB scale, we found EMR runtime […]]]></description>
		
		
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