<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>article Thomson Reuters Case Study - PDF Version in Tech ONTAP Articles</title>
    <link>https://community.netapp.com/t5/Tech-ONTAP-Articles/Thomson-Reuters-Case-Study-PDF-Version/ta-p/86236</link>
    <description>&lt;DIV class="lia-message-template-content-zone"&gt;&lt;P&gt;Thomson Reuters transformed its business with a shared IT infrastructure that searches 50X more data in half the time. In the process the company also saved $65 million in data-center costs, reduced power by 50%, and improved availability. This article describes the core building blocks, cloud-like search architecture, and virtualized front end that made it possible.&lt;/P&gt;
&lt;/DIV&gt;</description>
    <pubDate>Mon, 18 Jul 2011 16:28:58 GMT</pubDate>
    <dc:creator>Tech_OnTap</dc:creator>
    <dc:date>2011-07-18T16:28:58Z</dc:date>
    <item>
      <title>Thomson Reuters Case Study - PDF Version</title>
      <link>https://community.netapp.com/t5/Tech-ONTAP-Articles/Thomson-Reuters-Case-Study-PDF-Version/ta-p/86236</link>
      <description>&lt;DIV class="lia-message-template-content-zone"&gt;&lt;P&gt;Thomson Reuters transformed its business with a shared IT infrastructure that searches 50X more data in half the time. In the process the company also saved $65 million in data-center costs, reduced power by 50%, and improved availability. This article describes the core building blocks, cloud-like search architecture, and virtualized front end that made it possible.&lt;/P&gt;
&lt;/DIV&gt;</description>
      <pubDate>Mon, 18 Jul 2011 16:28:58 GMT</pubDate>
      <guid>https://community.netapp.com/t5/Tech-ONTAP-Articles/Thomson-Reuters-Case-Study-PDF-Version/ta-p/86236</guid>
      <dc:creator>Tech_OnTap</dc:creator>
      <dc:date>2011-07-18T16:28:58Z</dc:date>
    </item>
  </channel>
</rss>

