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	<title>Rumeshkrishan Mohan &#8211; Noise</title>
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		<title>Building Python modules from a wheel for Spark ETL workloads using AWS Glue 2.0</title>
		<link>https://noise.getoto.net/2020/11/18/building-python-modules-from-a-wheel-for-spark-etl-workloads-using-aws-glue-2-0/</link>
		
		<dc:creator><![CDATA[Rumeshkrishan Mohan]]></dc:creator>
		<pubDate>Wed, 18 Nov 2020 18:54:05 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. AWS Glue 2.0 features an upgraded infrastructure for running Apache Spark ETL jobs in AWS Glue with reduced startup times. With reduced startup delay time and lower minimum billing duration, overall [&#8230;]]]></description>
		
		
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