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	<title>Mohammed Alkateb &#8211; Noise</title>
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		<title>Unleash deeper insights with Amazon Redshift data sharing for data lake tables</title>
		<link>https://noise.getoto.net/2024/10/10/unleash-deeper-insights-with-amazon-redshift-data-sharing-for-data-lake-tables/</link>
		
		<dc:creator><![CDATA[Mohammed Alkateb]]></dc:creator>
		<pubDate>Thu, 10 Oct 2024 16:07:47 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[Data Sharing]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Amazon Redshift now enables the secure sharing of data lake tables—also known as external tables or Amazon Redshift Spectrum tables—that are managed in the AWS Glue Data Catalog, as well as Redshift views referencing those data lake tables. By using granular access controls, data sharing in Amazon Redshift helps data owners maintain tight governance over who can access the shared information. In this post, we explore powerful use cases that demonstrate how you can enhance cross-team and cross-organizational collaboration, reduce overhead, and unlock new insights by using this innovative data sharing functionality.]]></description>
		
		
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