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    <title>topic Re: Dataprep, Big Data and security in Data Quality</title>
    <link>https://community.qlik.com/t5/Data-Quality/Dataprep-Big-Data-and-security/m-p/2274025#M2928</link>
    <description>&lt;P&gt;Ok thank you.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'll rach back to the prospect to clarify the questions.&lt;/P&gt;</description>
    <pubDate>Mon, 22 May 2017 13:58:03 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2017-05-22T13:58:03Z</dc:date>
    <item>
      <title>Dataprep, Big Data and security</title>
      <link>https://community.qlik.com/t5/Data-Quality/Dataprep-Big-Data-and-security/m-p/2274023#M2926</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt; 
&lt;P&gt;&amp;nbsp;&lt;/P&gt; 
&lt;P&gt;We have been asked some question around DataPreparation and security.&lt;/P&gt; 
&lt;P&gt;&amp;nbsp;&lt;/P&gt; 
&lt;OL&gt; 
 &lt;LI&gt;Does to tool support impersonation &amp;nbsp;on prep activities? For instance, if have a user that belong to a group defined in the cluster as CDO_1 and by definition I am a super user in Sentry can I create and maintain groups within tool without it being defined in sentry?&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/LI&gt; 
 &lt;LI&gt;Can the tool handle a user role belonging to more than one group?&lt;/LI&gt; 
 &lt;LI&gt;Can I prepare a file and write back into HDFS as parquet? 
  &lt;OL&gt; 
   &lt;LI&gt;Is there a security framework or policy we need to be in compliance with for the tool to allow for this?&lt;/LI&gt; 
  &lt;/OL&gt;&lt;/LI&gt; 
&lt;/OL&gt;</description>
      <pubDate>Sat, 16 Nov 2024 09:45:29 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Data-Quality/Dataprep-Big-Data-and-security/m-p/2274023#M2926</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2024-11-16T09:45:29Z</dc:date>
    </item>
    <item>
      <title>Re: Dataprep, Big Data and security</title>
      <link>https://community.qlik.com/t5/Data-Quality/Dataprep-Big-Data-and-security/m-p/2274024#M2927</link>
      <description>&lt;P&gt;Hi Adrien,&lt;/P&gt; 
&lt;P&gt;&amp;nbsp;&lt;/P&gt; 
&lt;P&gt;1. We do support&amp;nbsp;&lt;SPAN&gt;impersonation given that you can specify the username on the input and output sides. I didn't fully get the group-related question and neither did&amp;nbsp;&lt;A href="https://community.qlik.com/s/profile/0053p000007LKkrAAG"&gt;@tfion&lt;/A&gt;... the answer is most likely "no", but can you&amp;nbsp;provide more details?&lt;/SPAN&gt;&lt;/P&gt; 
&lt;P&gt;&lt;SPAN&gt;2. Ditto above: we didn't exactly get the question.&lt;/SPAN&gt;&lt;/P&gt; 
&lt;P&gt;&lt;SPAN&gt;3. It depends on where the source file comes from. You can do HDFS to HDFS (and per your "write back" below I assume it is what you're trying to achieve). But you cannot prepare an Excel file that you uploaded to Data Prep&amp;nbsp;(or any "Local file" per the Data Prep terminology) &amp;nbsp;and write it to HDFS. No specific&amp;nbsp;security framework or policy to comply with.&lt;/SPAN&gt;&lt;/P&gt; 
&lt;P&gt;&amp;nbsp;&lt;/P&gt; 
&lt;P&gt;&lt;SPAN&gt;Cheers,&lt;/SPAN&gt;&lt;/P&gt; 
&lt;P&gt;&amp;nbsp;&lt;/P&gt; 
&lt;P&gt;&lt;SPAN&gt;Gwendal&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 22 May 2017 13:36:35 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Data-Quality/Dataprep-Big-Data-and-security/m-p/2274024#M2927</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2017-05-22T13:36:35Z</dc:date>
    </item>
    <item>
      <title>Re: Dataprep, Big Data and security</title>
      <link>https://community.qlik.com/t5/Data-Quality/Dataprep-Big-Data-and-security/m-p/2274025#M2928</link>
      <description>&lt;P&gt;Ok thank you.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'll rach back to the prospect to clarify the questions.&lt;/P&gt;</description>
      <pubDate>Mon, 22 May 2017 13:58:03 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Data-Quality/Dataprep-Big-Data-and-security/m-p/2274025#M2928</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2017-05-22T13:58:03Z</dc:date>
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