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	<title>Gautham Acharya &#8211; Noise</title>
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		<title>How the Allen Institute uses Amazon EMR and AWS Step Functions to process extremely wide transcriptomic datasets</title>
		<link>https://noise.getoto.net/2020/12/07/how-the-allen-institute-uses-amazon-emr-and-aws-step-functions-to-process-extremely-wide-transcriptomic-datasets/</link>
		
		<dc:creator><![CDATA[Gautham Acharya]]></dc:creator>
		<pubDate>Mon, 07 Dec 2020 18:17:38 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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					<description><![CDATA[This is a guest post by Gautham Acharya, Software Engineer III at the Allen Institute for Brain Science, in partnership with AWS Data Lab Solutions Architect Ranjit Rajan, and AWS Sr. Enterprise Account Executive Arif Khan. The human brain is one of the most complex structures in the universe. Billions of neurons and trillions of [&#8230;]]]></description>
		
		
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