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Installation of Qlik sense Desktop

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System requirements will show operating system, processor, memory, and disk space requirements among other things.

System Requirements for Qlik sense Desktop installation
Operating System:
For development and testing purposes 
  • Microsoft Windows 7 (64-bit version only)
  • Microsoft Windows 8.1 (64-bit version only)
  • Microsoft Windows 10 (64-bit version only)
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Processors (CPUs):

Multi-core x64 compatible processors

RAM Size:

8 GB minimum (depending on data volumes, more may be required). 

Hard Disk capacity:

3 GB total required to install


Local admin privileges to install

  Related Article:- Qlik Sense Tutorial

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Qlik sense Desktop Installation

Make sure you have the executable installation program and not the zip-file-based installation for the Qlik Sense server. Run the installation program. It will ask for installation directories, these fields will normally be prepopulated with the standard paths to the Qlik Sense extension and connector(GeoAnalytics) folder. If for some reason the paths are wrong you can correct the paths. It will then ask for a license key and a server URL for Qlik GeoAnalytics. These can be left unchanged if you don’t intend to run a local server. If you are updating from an earlier version where you have used GeoAnalytics plus the Default Server URL for that field should be ‘local’.

The following steps are used to install Qlik Sense Desktop:


Fill the form and submit it.

QlikSense Desktop


Check your mail to start Download

signup dashboard

Use the below-given link to download  and Installation Qlik sense:


 Related Article: Qlik Sense Interview Questions


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Last updated: 03 Apr 2023
About Author

Vinod Kasipuri is a seasoned expert in data analytics, holding a master's degree in the field. With a passion for sharing knowledge, he leverages his extensive expertise to craft enlightening articles. Vinod's insightful writings empower readers to delve into the world of data analytics, demystifying complex concepts and offering valuable insights. Through his articles, he invites users to embark on a journey of discovery, equipping them with the skills and knowledge to excel in the realm of data analysis. Reach Vinod at LinkedIn.

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