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    <title>InfoQ - Data Pipelines</title>
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      <title>LinkedIn Consolidates Hiring Data Pipelines to Power AI Driven Talent Systems</title>
      <link>https://www.infoq.com/news/2026/05/linkedin-unified-hiring-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data+Pipelines</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/linkedin-unified-hiring-platform/en/headerimage/generatedHeaderImage-1776925266106.jpg"/&gt;&lt;p&gt;LinkedIn introduced a unified integrations platform to standardize and reconcile hiring data across systems. The platform reduces onboarding time by 72%, improves data consistency and completeness, and enables scalable AI-driven hiring features through standardized schemas, orchestration workflows, and centralized data processing.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Evolutionary Architecture</category>
      <category>Data Analytics</category>
      <category>Data Pipelines</category>
      <category>Platforms</category>
      <category>Integration</category>
      <category>Unification</category>
      <category>Hiring</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Wed, 06 May 2026 14:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/linkedin-unified-hiring-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data+Pipelines</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-06T14:15:00Z</dc:date>
      <dc:identifier>/news/2026/05/linkedin-unified-hiring-platform/en</dc:identifier>
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    <item>
      <title>Confluent Moves Schema IDs to Kafka Headers to Simplify Schema Governance</title>
      <link>https://www.infoq.com/news/2026/05/confluent-kafka-header-schema-id/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data+Pipelines</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/confluent-kafka-header-schema-id/en/headerimage/generatedHeaderImage-1776736992912.jpg"/&gt;&lt;p&gt;Confluent introduces a new approach in Apache Kafka that moves schema IDs from message payloads to record headers, aiming to simplify schema governance and evolution. The update integrates with Schema Registry, improves compatibility across serialization formats, and reduces coupling between data and metadata in event-driven architectures.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Protocol Buffers</category>
      <category>Machine Learning</category>
      <category>Schema</category>
      <category>Data Pipelines</category>
      <category>Data Analytics</category>
      <category>Apache Flink</category>
      <category>JSON</category>
      <category>Apache Kafka</category>
      <category>Avro</category>
      <category>Streaming</category>
      <category>Event Stream Processing</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 01 May 2026 14:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/confluent-kafka-header-schema-id/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data+Pipelines</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-01T14:06:00Z</dc:date>
      <dc:identifier>/news/2026/05/confluent-kafka-header-schema-id/en</dc:identifier>
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