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	<title>Romi Boimer &#8211; Noise</title>
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		<title>Setting up automated data quality workflows and alerts using AWS Glue DataBrew and AWS Lambda</title>
		<link>https://noise.getoto.net/2020/12/18/setting-up-automated-data-quality-workflows-and-alerts-using-aws-glue-databrew-and-aws-lambda/</link>
		
		<dc:creator><![CDATA[Romi Boimer]]></dc:creator>
		<pubDate>Fri, 18 Dec 2020 18:19:19 +0000</pubDate>
				<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
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					<description><![CDATA[Proper data management is critical to successful, data-driven decision-making. An increasingly large number of customers are adopting data lakes to realize deeper insights from big data. As part of this, you need clean and trusted data in order to gain insights that lead to improvements in your business. As the saying goes, garbage in is [&#8230;]]]></description>
		
		
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