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    <title>topic Re: QVD Size and performance in QlikView</title>
    <link>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715489#M1076175</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;if you think there is huge data.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;instead of splitting the QVD, go for splitting the QVW based on some condition some thing like region/quarter.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;because if data is more in one single QVD, then the performance in the QVW will impact.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;One more advantage is that if the same QVD was being used in another dashboard there will be no much impact for that dashboard.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 21 Jul 2014 10:49:11 GMT</pubDate>
    <dc:creator>vardhancse</dc:creator>
    <dc:date>2014-07-21T10:49:11Z</dc:date>
    <item>
      <title>QVD Size and performance</title>
      <link>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715484#M1076170</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;Hello Guys,&lt;/P&gt;&lt;P&gt;I am looking for a suggestion for qvd size and performance.I have two tables and I need to bring these data into qlikview.On joining these two tables causes cross joins and it is correct for my scenario and gives me correct set of data.&lt;/P&gt;&lt;P&gt;Only problem is the size of dataset i got.I got around 1crores of records.So it is better to bring whole data in one qvd or create two qvds(each per table) and join them on at run time.?&lt;/P&gt;&lt;P&gt;Thanks in advance.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 21 Jul 2014 10:25:22 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715484#M1076170</guid>
      <dc:creator />
      <dc:date>2014-07-21T10:25:22Z</dc:date>
    </item>
    <item>
      <title>Re: QVD Size and performance</title>
      <link>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715485#M1076171</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Without any details it is hard to say what is best for your load. In general it is best to load both QVDs optimized (no Transformation / where clause) as this is the fastest way to get the data into memory. After this you can Join / transform the tables in memory. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 21 Jul 2014 10:29:30 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715485#M1076171</guid>
      <dc:creator />
      <dc:date>2014-07-21T10:29:30Z</dc:date>
    </item>
    <item>
      <title>Re: QVD Size and performance</title>
      <link>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715486#M1076172</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Better if you join this QVD and make single QVD from this QVD with cross join as you say and then use this QVD i believe it gives right result to you.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 21 Jul 2014 10:30:06 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715486#M1076172</guid>
      <dc:creator>its_anandrjs</dc:creator>
      <dc:date>2014-07-21T10:30:06Z</dc:date>
    </item>
    <item>
      <title>Re: QVD Size and performance</title>
      <link>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715487#M1076173</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;It really depends on what you are trying to achieve. If you use join without link then it will create Cartesian product and your table will explode.&lt;/P&gt;&lt;P&gt;I would have kept them differently and use set analysis to do required analysis.&lt;/P&gt;&lt;P&gt;and try to join then with some link if possible.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;ASHFAQ&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 21 Jul 2014 10:32:39 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715487#M1076173</guid>
      <dc:creator>ashfaq_haseeb</dc:creator>
      <dc:date>2014-07-21T10:32:39Z</dc:date>
    </item>
    <item>
      <title>Re: QVD Size and performance</title>
      <link>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715488#M1076174</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Creating one qvd could be a better option. That would improve performance because in the front-end on selection the data search would not require table hopping.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 21 Jul 2014 10:45:22 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715488#M1076174</guid>
      <dc:creator>tresB</dc:creator>
      <dc:date>2014-07-21T10:45:22Z</dc:date>
    </item>
    <item>
      <title>Re: QVD Size and performance</title>
      <link>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715489#M1076175</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;if you think there is huge data.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;instead of splitting the QVD, go for splitting the QVW based on some condition some thing like region/quarter.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;because if data is more in one single QVD, then the performance in the QVW will impact.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;One more advantage is that if the same QVD was being used in another dashboard there will be no much impact for that dashboard.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 21 Jul 2014 10:49:11 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/QVD-Size-and-performance/m-p/715489#M1076175</guid>
      <dc:creator>vardhancse</dc:creator>
      <dc:date>2014-07-21T10:49:11Z</dc:date>
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