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    <title>topic Best Practice: Extracting large amount of data in QlikView</title>
    <link>https://community.qlik.com/t5/QlikView/Best-Practice-Extracting-large-amount-of-data/m-p/296746#M712070</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Good Day,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Can you advice me what are the best practices when extracting large amount of data especially when your source is SAP...&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;thanks!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 17 Jun 2011 06:02:39 GMT</pubDate>
    <dc:creator />
    <dc:date>2011-06-17T06:02:39Z</dc:date>
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      <title>Best Practice: Extracting large amount of data</title>
      <link>https://community.qlik.com/t5/QlikView/Best-Practice-Extracting-large-amount-of-data/m-p/296746#M712070</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Good Day,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Can you advice me what are the best practices when extracting large amount of data especially when your source is SAP...&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;thanks!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 17 Jun 2011 06:02:39 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Best-Practice-Extracting-large-amount-of-data/m-p/296746#M712070</guid>
      <dc:creator />
      <dc:date>2011-06-17T06:02:39Z</dc:date>
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    <item>
      <title>Best Practice: Extracting large amount of data</title>
      <link>https://community.qlik.com/t5/QlikView/Best-Practice-Extracting-large-amount-of-data/m-p/296747#M712072</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Following are the best practises that are normally used .&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;1) Extract Details table with help of Header table becasue sometime&amp;nbsp; there is no timestamp in detail table.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; E.g : MKPF-&amp;gt;MSEG&lt;/P&gt;&lt;P&gt;2) Perform Increamental load.&lt;/P&gt;&lt;P&gt;3) Extract required data only because some table contain more than 150 column.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 20 Jun 2011 16:46:33 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Best-Practice-Extracting-large-amount-of-data/m-p/296747#M712072</guid>
      <dc:creator>suniljain</dc:creator>
      <dc:date>2011-06-20T16:46:33Z</dc:date>
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