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	<title>Adir Sharabi &#8211; Noise</title>
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		<title>Boosting your data lake insights using the Amazon Athena Query Federation SDK</title>
		<link>https://noise.getoto.net/2020/12/15/boosting-your-data-lake-insights-using-the-amazon-athena-query-federation-sdk/</link>
		
		<dc:creator><![CDATA[Adir Sharabi]]></dc:creator>
		<pubDate>Tue, 15 Dec 2020 17:18:06 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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					<description><![CDATA[Today&#8217;s modern applications use multiple purpose-built database engines, including relational, key-value, document, and in-memory databases. This purpose-built approach improves the way applications use data by providing better performance and reducing cost. However, the approach raises some challenges for data teams that need to provide a holistic view on top of these database engines, and especially [&#8230;]]]></description>
		
		
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