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	<title>Suraj Shivananda &#8211; Noise</title>
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		<title>Use SQL queries to define Amazon Redshift datasets in AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2022/07/30/use-sql-queries-to-define-amazon-redshift-datasets-in-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Suraj Shivananda]]></dc:creator>
		<pubDate>Fri, 29 Jul 2022 21:56:33 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[In the post Data preparation using Amazon Redshift with AWS Glue DataBrew, we saw how to create an AWS Glue DataBrew job using a JDBC connection for Amazon Redshift. In this post, we show you how to create a DataBrew profile job and a recipe job using an Amazon Redshift connection with custom SQL. DataBrew […]]]></description>
		
		
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		<title>Integrate AWS Glue DataBrew and Amazon PinPoint to launch marketing campaigns</title>
		<link>https://noise.getoto.net/2021/11/03/integrate-aws-glue-databrew-and-amazon-pinpoint-to-launch-marketing-campaigns/</link>
		
		<dc:creator><![CDATA[Suraj Shivananda]]></dc:creator>
		<pubDate>Wed, 03 Nov 2021 16:47:29 +0000</pubDate>
				<category><![CDATA[Amazon Pinpoint]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[Marketing teams often rely on data engineers to provide a consumer dataset that they can use to launch marketing campaigns. This can sometimes cause delays in launching campaigns and consume data engineers’ bandwidth. The campaigns are often launched using complex solutions that are either code heavy or using licensed tools. The processes of both extract, […]]]></description>
		
		
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