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	<title>Calvin Wang &#8211; Noise</title>
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		<title>Testing data quality at scale with PyDeequ</title>
		<link>https://noise.getoto.net/2020/12/30/testing-data-quality-at-scale-with-pydeequ/</link>
		
		<dc:creator><![CDATA[Calvin Wang]]></dc:creator>
		<pubDate>Wed, 30 Dec 2020 20:32:36 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[You generally write unit tests for your code, but do you also test your data? Incoming data quality can make or break your application. Incorrect, missing, or malformed data can have a large impact on production systems. Examples of data quality issues include the following: Missing values can lead to failures in production system that [&#8230;]]]></description>
		
		
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