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      <title>Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems</title>
      <link>https://www.infoq.com/presentations/bigquery-data-challenges/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Google+BigQuery-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/bigquery-data-challenges/en/mediumimage/sarah-usher-medium-1769588023724.jpeg"/&gt;&lt;p&gt;Sarah Usher discusses the architectural "breaking point" where warehouses like BigQuery struggle with latency and cost. She explains the necessity of a conceptual data lifecycle (Raw, Curated, Use Case)  to regain control over lineage and innovation. She shares practical strategies to design a single source of truth that empowers both ML teams and analytics without bottlenecking scale.&lt;/p&gt; &lt;i&gt;By Sarah Usher&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Google BigQuery</category>
      <category>QCon London 2025</category>
      <category>Scalability</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 04 Feb 2026 14:48:00 GMT</pubDate>
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      <dc:creator>Sarah Usher</dc:creator>
      <dc:date>2026-02-04T14:48:00Z</dc:date>
      <dc:identifier>/presentations/bigquery-data-challenges/en</dc:identifier>
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