<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Data - Presentations</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Data Presentations feed</description>
    <item>
      <title>Presentation: Beyond Speed Limits: Exploring the Performance Power of Valkey</title>
      <link>https://www.infoq.com/presentations/valkey-datastore/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/valkey-datastore/en/mediumimage/viktor-vedmich-medium-1780058022702.jpeg"/&gt;&lt;p&gt;Senior Solution Architect Viktor Vedmich shares how engineering leaders can maximize application performance using Valkey. He discusses the open-source Redis fork's 100% API compatibility, explores advanced caching strategies like lazy loading, and explains how to implement powerful data structures for real-time analytics, rate limiting, and session stores to solve the thundering herd problem.&lt;/p&gt; &lt;i&gt;By Viktor Vedmich&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>AWS</category>
      <category>Key-Value Store</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Data</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Mon, 08 Jun 2026 10:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/valkey-datastore/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data-presentations</guid>
      <dc:creator>Viktor Vedmich</dc:creator>
      <dc:date>2026-06-08T10:15:00Z</dc:date>
      <dc:identifier>/presentations/valkey-datastore/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Architecting a Centralized Platform for Data Deletion at Netflix</title>
      <link>https://www.infoq.com/presentations/architecting-deletion-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/architecting-deletion-system/en/mediumimage/medium-1779869686290.jpg"/&gt;&lt;p&gt;The speakers discuss the architectural challenges of executing safe data deletion across distributed datastores. Balancing durability, availability &amp;  correctness, they explain how to orchestrate multi-system deletion propagation without impacting live traffic. They share lessons on controlling tombstone accumulation, building continuous audit loops, and gaining trust with a centralized platform.&lt;/p&gt; &lt;i&gt;By Vidhya Arvind, Shawn Liu&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>QCon San Francisco 2025</category>
      <category>Data</category>
      <category>Performance &amp; Scalability</category>
      <category>Reliability</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 04 Jun 2026 10:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/architecting-deletion-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data-presentations</guid>
      <dc:creator>Vidhya Arvind, Shawn Liu</dc:creator>
      <dc:date>2026-06-04T10:26:00Z</dc:date>
      <dc:identifier>/presentations/architecting-deletion-system/en</dc:identifier>
    </item>
  </channel>
</rss>
