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	<title>Kiran Ramineni &#8211; Noise</title>
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		<title>How Fannie Mae built a data mesh architecture to enable self-service using Amazon Redshift data sharing</title>
		<link>https://noise.getoto.net/2022/08/22/how-fannie-mae-built-a-data-mesh-architecture-to-enable-self-service-using-amazon-redshift-data-sharing/</link>
		
		<dc:creator><![CDATA[Kiran Ramineni]]></dc:creator>
		<pubDate>Mon, 22 Aug 2022 19:50:41 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[This post is co-written by Kiran Ramineni and Basava Hubli, from Fannie Mae. Amazon Redshift data sharing enables instant, granular, and fast data access across Amazon Redshift clusters without the need to copy or move data around. Data sharing provides live access to data so that users always see the most up-to-date and transactionally consistent […]]]></description>
		
		
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