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    <title>topic Re: Windows DFS, Nimble and de-duplication in Array Performance and Data Protection</title>
    <link>https://community.hpe.com/t5/array-performance-and-data/windows-dfs-nimble-and-de-duplication/m-p/6981523#M15</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Adam,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Dedupe is not a feature that Nimble carries in the platform currently, so what you're describing wouldn't be possible. It would however compress the data &amp;amp; detect zero-blocks, so you will get efficiencies.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 18 Jan 2016 17:31:14 GMT</pubDate>
    <dc:creator>Nick_Dyer</dc:creator>
    <dc:date>2016-01-18T17:31:14Z</dc:date>
    <item>
      <title>Windows DFS, Nimble and de-duplication</title>
      <link>https://community.hpe.com/t5/array-performance-and-data/windows-dfs-nimble-and-de-duplication/m-p/6981522#M14</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I was wondering if I created to Windows servers on&amp;nbsp; a Nimble data store and set up distributed file services (DFS) on both services, does Nimble deduplicate the shares?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;E.g if i have FILESERVER1 with a shared folder with 1TB of files on it, and I then setup FILESERVER2 with DFS so that also has 1TB of files on it, does Nimble de-duplicate this so that only 1TB of storage is taken up rather than 2TB?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Does anyone have any real-world experience of this?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 18 Jan 2016 15:45:07 GMT</pubDate>
      <guid>https://community.hpe.com/t5/array-performance-and-data/windows-dfs-nimble-and-de-duplication/m-p/6981522#M14</guid>
      <dc:creator>adamnewton52</dc:creator>
      <dc:date>2016-01-18T15:45:07Z</dc:date>
    </item>
    <item>
      <title>Re: Windows DFS, Nimble and de-duplication</title>
      <link>https://community.hpe.com/t5/array-performance-and-data/windows-dfs-nimble-and-de-duplication/m-p/6981523#M15</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Adam,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Dedupe is not a feature that Nimble carries in the platform currently, so what you're describing wouldn't be possible. It would however compress the data &amp;amp; detect zero-blocks, so you will get efficiencies.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 18 Jan 2016 17:31:14 GMT</pubDate>
      <guid>https://community.hpe.com/t5/array-performance-and-data/windows-dfs-nimble-and-de-duplication/m-p/6981523#M15</guid>
      <dc:creator>Nick_Dyer</dc:creator>
      <dc:date>2016-01-18T17:31:14Z</dc:date>
    </item>
    <item>
      <title>Re: Windows DFS, Nimble and de-duplication</title>
      <link>https://community.hpe.com/t5/array-performance-and-data/windows-dfs-nimble-and-de-duplication/m-p/6981524#M16</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Distributed File System (DFS) is generally used as a federated shared file services at remote sites--this idea would dictate the requirement for multiple storage solutions, one at each location, thus losing any possible data deduplication options (you want duplicates across sites for availability).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Your description sounds more like a highly available file server; for this I would leverage Microsoft's Failover Clustering technology to create a highly available file server--this would have no requirement for deduplication at the storage level as both/all file servers would leverage the same underlying blocks of data (one volume).&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 20 Jan 2016 18:30:05 GMT</pubDate>
      <guid>https://community.hpe.com/t5/array-performance-and-data/windows-dfs-nimble-and-de-duplication/m-p/6981524#M16</guid>
      <dc:creator>rmalmberg-glc30</dc:creator>
      <dc:date>2016-01-20T18:30:05Z</dc:date>
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