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		<title>Create, train, and deploy Amazon Redshift ML model integrating features from Amazon SageMaker Feature Store</title>
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		<dc:creator><![CDATA[Anirban Sinha]]></dc:creator>
		<pubDate>Thu, 26 Oct 2023 17:19:48 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Redshift Spectrum]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Studio]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting […]]]></description>
		
		
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