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	<title>Ravi Animi &#8211; Noise</title>
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		<title>Breaking barriers in geospatial: Amazon Redshift, CARTO, and H3</title>
		<link>https://noise.getoto.net/2024/05/16/breaking-barriers-in-geospatial-amazon-redshift-carto-and-h3/</link>
		
		<dc:creator><![CDATA[Ravi Animi]]></dc:creator>
		<pubDate>Thu, 16 May 2024 16:07:40 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[In this post, we discuss how Amazon Redshift spatial index functions such as Hexagonal hierarchical geospatial indexing system (or H3) can be used to represent spatial data using H3 indexing for fast spatial lookups at scale. Navigating the vast landscape of data-driven insights has always been an exciting endeavor. As technology continues to evolve, one specific facet of this journey is reaching unprecedented proportions: geospatial data.]]></description>
		
		
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