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      <title>Article: Building &amp; Operating High-Fidelity Data Streams</title>
      <link>https://www.infoq.com/articles/high-fidelity-data-streams/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Operability-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/high-fidelity-data-streams/en/headerimage/building-and-operating-high-fidelity-data-streams-header-logo-1664284454024.jpg"/&gt;&lt;p&gt;At QCon Plus 2021 last November, Sid Anand, chief architect at Datazoom and PMC Member at Apache Airflow, presented on building high-fidelity nearline data streams as a service within a lean team. In this talk, Anand provides a master class on building high-fidelity data streams from the ground up.&lt;/p&gt; &lt;i&gt;By Sid Anand&lt;/i&gt;</description>
      <category>Scalability</category>
      <category>Architecture</category>
      <category>Reliability</category>
      <category>Kafka Streams</category>
      <category>Apache Kafka</category>
      <category>Streaming</category>
      <category>Operability</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>article</category>
      <pubDate>Fri, 30 Sep 2022 09:00:00 GMT</pubDate>
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      <dc:creator>Sid Anand</dc:creator>
      <dc:date>2022-09-30T09:00:00Z</dc:date>
      <dc:identifier>/articles/high-fidelity-data-streams/en</dc:identifier>
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