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		<title>Accelerating SQL analytics with Amazon Redshift MCP server</title>
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		<dc:creator><![CDATA[Ramkumar Nottath]]></dc:creator>
		<pubDate>Tue, 23 Sep 2025 21:04:01 +0000</pubDate>
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					<description><![CDATA[In this post, we walk through setting up the Amazon Redshift MCP server and demonstrate how a data analyst can efficiently explore Redshift data warehouses and perform data analysis using natural language queries.]]></description>
		
		
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		<title>Decentralize LF-tag management with AWS Lake Formation</title>
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		<dc:creator><![CDATA[Ramkumar Nottath]]></dc:creator>
		<pubDate>Thu, 16 Nov 2023 15:41:13 +0000</pubDate>
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					<description><![CDATA[In today’s data-driven world, organizations face unprecedented challenges in managing and extracting valuable insights from their ever-expanding data ecosystems. As the number of data assets and users grow, the traditional approaches to data management and governance are no longer sufficient. Customers are now building more advanced architectures to decentralize permissions management to allow for individual […]]]></description>
		
		
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		<title>Extract, prepare, and analyze Salesforce.com data using Amazon AppFlow, AWS Glue DataBrew, and Amazon Athena</title>
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		<dc:creator><![CDATA[Ramkumar Nottath]]></dc:creator>
		<pubDate>Fri, 15 Oct 2021 16:28:28 +0000</pubDate>
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					<description><![CDATA[As organizations embark on their data modernization journey, big data analytics and machine learning (ML) use cases are becoming even more integral parts of business. The ease for data preparation and seamless integration with third-party data sources is of paramount importance in order to gain insights quickly and make critical business decisions faster. AWS Glue […]]]></description>
		
		
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