<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dataset on StorageNews</title><link>https://storagenews.top/tags/dataset/</link><description>Recent content in Dataset on StorageNews</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 13 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://storagenews.top/tags/dataset/index.xml" rel="self" type="application/rss+xml"/><item><title>Object storage handles massive research datasets well</title><link>https://storagenews.top/posts/object-storage-handles-massive-research-datasets-well/</link><pubDate>Fri, 13 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/object-storage-handles-massive-research-datasets-well/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Moving 130 TB of Pi data required sustaining 2 Gbps throughput for two weeks to reach Backblaze B2. Modern research infrastructure increasingly demands a split architecture where local &lt;strong>high-performance compute&lt;/strong> generates massive datasets that must immediately migrate to scalable &lt;strong>cloud object storage&lt;/strong> for global access.&lt;/p></description></item></channel></rss>