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      <title>Presentation: Accelerating Netflix Data: a Cross-Team Journey from Offline to Online</title>
      <link>https://www.infoq.com/presentations/netflix-data-offline-online/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data</link>
      <description>&lt;img src="https://res.infoq.com/presentations/netflix-data-offline-online/en/mediumimage/rajasekhar-ummadisetty-ken-kurzweil-medium-1782819781543.jpg"/&gt;&lt;p&gt;Raj Ummadisetty and Ken Kurzweil share Netflix's architectural pivot to CloudStream, a repeatable capture, conversion, and deployment framework. They discuss shifting key-value abstractions from stateless to stateful to move terabytes of bulk data safely. Software architects will learn to exploit data access patterns, use "Pathfinder" prototypes, and maintain a 99% faster rollout.&lt;/p&gt; &lt;i&gt;By Rajasekhar Ummadisetty, Ken Kurzweil&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Offline-First</category>
      <category>Case Study</category>
      <category>Data</category>
      <category>QCon San Francisco 2025</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Thu, 09 Jul 2026 15:20:00 GMT</pubDate>
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      <dc:creator>Rajasekhar Ummadisetty, Ken Kurzweil</dc:creator>
      <dc:date>2026-07-09T15:20:00Z</dc:date>
      <dc:identifier>/presentations/netflix-data-offline-online/en</dc:identifier>
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