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	<title>Praful Kava &#8211; Noise</title>
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		<title>AWS serverless data analytics pipeline reference architecture</title>
		<link>https://noise.getoto.net/2020/10/28/aws-serverless-data-analytics-pipeline-reference-architecture/</link>
		
		<dc:creator><![CDATA[Praful Kava]]></dc:creator>
		<pubDate>Wed, 28 Oct 2020 16:05:24 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
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					<description><![CDATA[Onboarding new data or building new analytics pipelines in traditional analytics architectures typically requires extensive coordination across business, data engineering, and data science and analytics teams to first negotiate requirements, schema, infrastructure capacity needs, and workload management. For a large number of use cases today however, business users, data scientists, and analysts are demanding easy, [&#8230;]]]></description>
		
		
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