<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Data Warehouse - Presentations</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Data Warehouse Presentations feed</description>
    <item>
      <title>Presentation: Graph Learning at the Scale of Modern Data Warehouses</title>
      <link>https://www.infoq.com/presentations/warehouse-graph-data/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data+Warehouse-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/warehouse-graph-data/en/mediumimage/SubramanyaDulloor-medium-1706611576282.jpg"/&gt;&lt;p&gt;Subramanya Dulloor outlines an approach to addressing the challenges of warehouses and shows how to build an efficient and scalable end-to-end system for graph learning in data warehouses.&lt;/p&gt; &lt;i&gt;By Subramanya Dulloor&lt;/i&gt;</description>
      <category>QCon London 2023</category>
      <category>Data Warehouse</category>
      <category>Transcripts</category>
      <category>Data</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 16 Feb 2024 09:51:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/warehouse-graph-data/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data+Warehouse-presentations</guid>
      <dc:creator>Subramanya Dulloor</dc:creator>
      <dc:date>2024-02-16T09:51:00Z</dc:date>
      <dc:identifier>/presentations/warehouse-graph-data/en</dc:identifier>
    </item>
  </channel>
</rss>
