<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Iceberg on StorageNews</title><link>https://storagenews.top/tags/iceberg/</link><description>Recent content in Iceberg on StorageNews</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 06 May 2026 04:17:24 +0000</lastBuildDate><atom:link href="https://storagenews.top/tags/iceberg/index.xml" rel="self" type="application/rss+xml"/><item><title>Apache Iceberg direct query cuts latency now</title><link>https://storagenews.top/posts/apache-iceberg-direct-query-cuts-latency-now/</link><pubDate>Wed, 06 May 2026 04:17:24 +0000</pubDate><guid>https://storagenews.top/posts/apache-iceberg-direct-query-cuts-latency-now/</guid><description>&lt;meta charset="utf-8">
&lt;!-- wp:paragraph {"className":"std-text"} -->
&lt;!-- /wp:paragraph -->
&lt;!-- wp:paragraph {"className":"std-text"} -->
&lt;p class="std-text">Stop moving petabytes of data just to query them; &lt;strong>Amazon Quick&lt;/strong> now targets &lt;strong>Apache Iceberg&lt;/strong> directly. The thesis is clear: inserting intermediate warehouses into modern lakehouse architectures creates unnecessary latency and cost that &lt;strong>Direct Query&lt;/strong> modes eliminate. By integrating &lt;strong>S3 Tables&lt;/strong> as a native source, AWS allows enterprises to treat their data lake as the single source of truth without replicating storage.&lt;/p></description></item></channel></rss>