<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Metadata - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Metadata News feed</description>
    <item>
      <title>Netflix Cuts Cassandra Read Latency from Seconds to Milliseconds with Dynamic Partition Splitting</title>
      <link>https://www.infoq.com/news/2026/07/netflix-cassandra-partition/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Metadata-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Netflix engineers introduced dynamic partition splitting for Cassandra to address wide partitions in time series workloads. The metadata-driven approach detects oversized partitions, splits them smaller units, and routes reads across child partitions. Netflix reported lower read latency from seconds to milliseconds, reduced timeouts, and improved cluster stability while maintaining transparency.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Data Partitioning</category>
      <category>Cassandra</category>
      <category>Database</category>
      <category>Architecture</category>
      <category>Clusters</category>
      <category>Distributed Systems</category>
      <category>Metadata</category>
      <category>Routing</category>
      <category>Low Latency</category>
      <category>Time Series Data</category>
      <category>Partitioning</category>
      <category>Scalability</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 06 Jul 2026 14:24:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/netflix-cassandra-partition/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Metadata-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-06T14:24:00Z</dc:date>
      <dc:identifier>/news/2026/07/netflix-cassandra-partition/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Amazon S3 Annotations</title>
      <link>https://www.infoq.com/news/2026/07/aws-s3-annotations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Metadata-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/aws-s3-annotations/en/headerimage/generatedHeaderImage-1782327927331.jpg"/&gt;&lt;p&gt;AWS recently announced Amazon S3 Annotations, a feature that lets teams attach rich, searchable context such as summaries, classifications, compliance data, or AI-generated insights directly to S3 objects. Annotations can be updated independently of the object and queried across datasets, reducing the need for separate metadata systems.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cloud Computing</category>
      <category>S3</category>
      <category>Cloud</category>
      <category>Apache Iceberg</category>
      <category>Metadata</category>
      <category>AWS</category>
      <category>Agents</category>
      <category>Data Management</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sun, 05 Jul 2026 08:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/aws-s3-annotations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Metadata-news</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-07-05T08:55:00Z</dc:date>
      <dc:identifier>/news/2026/07/aws-s3-annotations/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Details Unified Data Platform Where Billing Workloads Account for 53% of Queries</title>
      <link>https://www.infoq.com/news/2026/07/cloudflare-unified-data-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Metadata-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/cloudflare-unified-data-platform/en/headerimage/generatedHeaderImage-1782169354918.jpg"/&gt;&lt;p&gt;Cloudflare details Town Lake, an internal unified data platform, and Skipper, an AI analytics agent unifying access to operational, billing, security, and business data. The platform processed ~91K billing queries, with billing forming majority usage. Built on a lakehouse architecture using Trino, Iceberg, R2, and DataHub, it enables governed cross-system analytics and natural language access.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Platform Engineering</category>
      <category>Big Data</category>
      <category>Data Governance</category>
      <category>Metadata</category>
      <category>Business Intelligence</category>
      <category>Object Databases</category>
      <category>Data Analytics</category>
      <category>Cloudflare</category>
      <category>English Query</category>
      <category>Google BigQuery</category>
      <category>Apache Iceberg</category>
      <category>Natural Language Processing</category>
      <category>Data Lake</category>
      <category>SQL</category>
      <category>Postgres</category>
      <category>ClickHouse</category>
      <category>Agents</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 03 Jul 2026 14:29:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/cloudflare-unified-data-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Metadata-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-03T14:29:00Z</dc:date>
      <dc:identifier>/news/2026/07/cloudflare-unified-data-platform/en</dc:identifier>
    </item>
  </channel>
</rss>
