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    <title>topic Re: Importing from Local Machine using SAS EM in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Importing-from-Local-Machine-using-SAS-EM/m-p/432476#M6632</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Its not clear from your note whether you are trying to move data from a client to server (client is 'local') or from an attached drive (USB drive is 'local' to your machine where SAS Enterprise Miner is working).&amp;nbsp; &amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;Here are some things to consider:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp;*&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;SAS Enterprise Miner can access data stored locally on the compute server or via a fully qualified network path relative to the compute server (e.g. \\myserver\myfolders\data)&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp;* SAS Enterprise Miner cannot access data on USB attached 'local' drives or locations using mapped drive letters, even if the drive letter is mapped to a network path&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp; &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;To access data on a location other than a physical drive on the machine where SAS Enterprise Miner is processing, you must have the defined the network location relative to the compute server and you must have read/write permission to that location using the credentials used to access SAS Enterprise Miner.&amp;nbsp; The read/write access is necessary since SAS Enterprise Miner will use that location to write out temporary files created during processing even though the original data will be unchanged.&amp;nbsp;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The one exception to this rule is when you use the File Import node to import a file from your local machine to the server.&amp;nbsp;&amp;nbsp;&lt;/SPAN&gt;&amp;nbsp;When the File Import node runs, it creates a copy of the specified file in the project folder on the compute server.&amp;nbsp; If the file in question is large, it is generally better to use your operating system tools to move the file to the server and place it in a location outside the project folder.&amp;nbsp; Placing large data sets inside the project folder can slow processing.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Hope this helps!&lt;/P&gt;
&lt;P&gt;Doug&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 30 Jan 2018 19:59:14 GMT</pubDate>
    <dc:creator>DougWielenga</dc:creator>
    <dc:date>2018-01-30T19:59:14Z</dc:date>
    <item>
      <title>Importing from Local Machine using SAS EM</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Importing-from-Local-Machine-using-SAS-EM/m-p/432035#M6620</link>
      <description>&lt;P&gt;Hi Everyone,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Our SAS EM Client currently imports from the remote machine. We tried to explore the paths/drives available, and we are not able to see the local drive. Is there a way where we can import files directly from our local machine?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Tue, 30 Jan 2018 02:21:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Importing-from-Local-Machine-using-SAS-EM/m-p/432035#M6620</guid>
      <dc:creator>Raven01</dc:creator>
      <dc:date>2018-01-30T02:21:02Z</dc:date>
    </item>
    <item>
      <title>Re: Importing from Local Machine using SAS EM</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Importing-from-Local-Machine-using-SAS-EM/m-p/432476#M6632</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Its not clear from your note whether you are trying to move data from a client to server (client is 'local') or from an attached drive (USB drive is 'local' to your machine where SAS Enterprise Miner is working).&amp;nbsp; &amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;Here are some things to consider:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp;*&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;SAS Enterprise Miner can access data stored locally on the compute server or via a fully qualified network path relative to the compute server (e.g. \\myserver\myfolders\data)&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp;* SAS Enterprise Miner cannot access data on USB attached 'local' drives or locations using mapped drive letters, even if the drive letter is mapped to a network path&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp; &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;To access data on a location other than a physical drive on the machine where SAS Enterprise Miner is processing, you must have the defined the network location relative to the compute server and you must have read/write permission to that location using the credentials used to access SAS Enterprise Miner.&amp;nbsp; The read/write access is necessary since SAS Enterprise Miner will use that location to write out temporary files created during processing even though the original data will be unchanged.&amp;nbsp;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The one exception to this rule is when you use the File Import node to import a file from your local machine to the server.&amp;nbsp;&amp;nbsp;&lt;/SPAN&gt;&amp;nbsp;When the File Import node runs, it creates a copy of the specified file in the project folder on the compute server.&amp;nbsp; If the file in question is large, it is generally better to use your operating system tools to move the file to the server and place it in a location outside the project folder.&amp;nbsp; Placing large data sets inside the project folder can slow processing.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Hope this helps!&lt;/P&gt;
&lt;P&gt;Doug&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 30 Jan 2018 19:59:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Importing-from-Local-Machine-using-SAS-EM/m-p/432476#M6632</guid>
      <dc:creator>DougWielenga</dc:creator>
      <dc:date>2018-01-30T19:59:14Z</dc:date>
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