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		<title>Getting the most out of your analytics stack with Amazon Redshift</title>
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		<dc:creator><![CDATA[Rajiv Gupta]]></dc:creator>
		<pubDate>Mon, 14 Dec 2020 20:54:13 +0000</pubDate>
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					<description><![CDATA[Analytics environments today have seen an exponential growth in the volume of data being stored. In addition, analytics use cases have expanded, and data users want access to all their data as soon as possible. The challenge for IT organizations is how to scale your infrastructure, manage performance, and optimize for cost while meeting these [&#8230;]]]></description>
		
		
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		<title>Accessing external components using Amazon Redshift Lambda UDFs</title>
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		<dc:creator><![CDATA[Rajiv Gupta]]></dc:creator>
		<pubDate>Mon, 26 Oct 2020 20:35:33 +0000</pubDate>
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					<description><![CDATA[Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse. It makes it simple and cost-effective to analyze all your data using standard SQL, your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per day [&#8230;]]]></description>
		
		
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