Integrate Qlik data eXchange (QVX) Using FME

QlikView data eXchange files contain tables of data along with descriptive metadata that can be used to create data visualizations. With FME, data from multiple sources can be organized and merged into a single, table-based QVX file.

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Ways to Use FME to create Qlik Data

Automate Data Extraction and Data Blending

Manipulating data to use for business intelligence (BI) is made easy with FME. QVX files contain large amounts of data and can be analyzed easily. This is why municipalities such as the City of Lier have used FME to extract raw data from a variety of sources and put this information into QVX files for further quality analysis and control.
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FME integration for Qlik

Enrich Your Data with Spatial Information

FME has a variety of integration capabilities. For example, combining tabular data with spatial data like road networks or census area reports. This can aid in answering questions related to spatial patterns such as risk assessment for natural disasters or epidemics, identifying the best suited site for a medical clinic, or if there is any correlation between the distance from a location such as public transit and the success of a certain type of business. The transformers available in FME Workbench allow you to ensure that data is written in a way that is compatible with Qlik. Creating map visuals with your newly combined data is a great way to display large, complex information in a simplistic way.
Tutorial: Using the Qlik data eXchange (QVX) Writer
Qlik writer tutorial FME

About Qlik data eXchange (QVX)

Qlik business intelligence software helps enterprises move faster, work smarter, and lead the way with an end-to-end solution for getting value out of data.

Common Conversions

FME lets you integrate many applications and file formats. Here are some of the ways our users convert Qlik data eXchange (QVX).

Esri ArcGIS Shapefile (SHP) logo
Qlik data eXchange (QVX) logo
Esri ArcGIS Shapefile (SHP)
Microsoft Excel logo
Qlik data eXchange (QVX) logo
Microsoft Excel
Comma-Separated Value (CSV) logo
Qlik data eXchange (QVX) logo
Comma-Separated Value (CSV)
KML (Keyhole Markup Language) logo
Qlik data eXchange (QVX) logo
KML (Keyhole Markup Language)
FME is the data integration platform with the best support for spatial.


The table below outlines how Qlik data eXchange (QVX) is supported by our different FME products, and on which platform(s) the reader and/or writer runs.

Product OS
FME Desktop FME Server FME Cloud Windows 32-bit Windows 64-bit Linux Mac
Writer Professional Edition & Up

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