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	<title>Aakash Pradeep, Venkatram Bondugula &#8211; Noise</title>
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		<title>How Twilio secured their multi-engine query platform with AWS Lake Formation</title>
		<link>https://noise.getoto.net/2026/03/02/how-twilio-secured-their-multi-engine-query-platform-with-aws-lake-formation/</link>
		
		<dc:creator><![CDATA[Aakash Pradeep, Venkatram Bondugula]]></dc:creator>
		<pubDate>Mon, 02 Mar 2026 17:49:13 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[data governance]]></category>
		<category><![CDATA[data-mesh]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Twilio is a cloud communications platform that provides programmable APIs and tools for developers to easily integrate voice, messaging, email, video, and other communication features into their applications and customer engagement workflows. In this blog series we discuss how we built a multi-engine query platform at Twilio. The first part introduces the use case that led us to build a new platform and why we selected Amazon Athena alongside our open-source Presto implementation. This second part discusses how Twilio’s query infrastructure platform integrates with AWS Lake Formation to provide fine-grained access control to all their data.]]></description>
		
		
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