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	<title>Vinay Kumar Khambhampati &#8211; Noise</title>
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		<title>Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR</title>
		<link>https://noise.getoto.net/2023/04/19/accelerate-hiveql-with-oozie-to-spark-sql-migration-on-amazon-emr/</link>
		
		<dc:creator><![CDATA[Vinay Kumar Khambhampati]]></dc:creator>
		<pubDate>Wed, 19 Apr 2023 17:01:18 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. Apache Hive has performed pretty well for a long time. But with advancements in infrastructure such as cloud computing and multicore machines with large RAM, Apache Spark started to gain visibility by […]]]></description>
		
		
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