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      <title>Stream All the Things: Patterns of Effective Data Stream Processing Explored by Adi Polak at QCon SF</title>
      <link>https://www.infoq.com/news/2024/11/effective-data-stream-processing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Design+Pattern-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2024/11/effective-data-stream-processing/en/headerimage/generatedHeaderImage-1732693258599.jpg"/&gt;&lt;p&gt;Adi Polak, Director of Advocacy and Developer Experience Engineering at Confluent, illuminated the complexities of data streaming in her QCon San Francisco presentation. She outlined key design patterns for robust pipelines, emphasizing reliability, scalability, and data integrity.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Patterns and Practices</category>
      <category>Design Pattern</category>
      <category>QCon San Francisco 2024</category>
      <category>Apache Kafka</category>
      <category>Apache Flink</category>
      <category>Streaming</category>
      <category>Patterns</category>
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      <pubDate>Fri, 29 Nov 2024 10:00:00 GMT</pubDate>
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      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2024-11-29T10:00:00Z</dc:date>
      <dc:identifier>/news/2024/11/effective-data-stream-processing/en</dc:identifier>
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