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    <title>InfoQ - Geographic Data</title>
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      <title>Content Discovery at Scale with Hexagons and Elasticsearch at DoorDash</title>
      <link>https://www.infoq.com/news/2022/10/doordash-h3-elastic-hexagons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Geographic+Data</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;DoorDash recently published an article on how it is solving scaling challenges with content discovery using Elasticsearch and H3, a geospatial indexing system that partitions the world into hexagonal cells.&lt;/p&gt; &lt;i&gt;By Tanmay Deshpande&lt;/i&gt;</description>
      <category>ElasticSearch</category>
      <category>Performance &amp; Scalability</category>
      <category>Geolocation</category>
      <category>Microservices</category>
      <category>Geographic Data</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Mon, 10 Oct 2022 10:00:00 GMT</pubDate>
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      <dc:creator>Tanmay Deshpande</dc:creator>
      <dc:date>2022-10-10T10:00:00Z</dc:date>
      <dc:identifier>/news/2022/10/doordash-h3-elastic-hexagons/en</dc:identifier>
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