About Qlik View
Imagine analytics so intuitive, anyone in your company could easily create personalised reports and dynamic dashboards to explore vast amounts of data and find meaningful insights.
That’s Qlik View — a revolutionary self-service data visualisation and discovery application designed for individuals and group collaboration. Qlik View lets you rapidly create visualisations, explore data deeply, and share insights instantly, to reveal connections in your data and see opportunities from every angle.
- In combination with the patented Qlik data indexing engine, smart visualisations let you uncover all data relationships across your data dimensions. You can easily explore in any direction to discover insights that would have been hidden in query-based or hierarchical tools.
- Not sure where to begin your analysis? No problem. Simply type in keywords, and let Smart Search connect the dots to reveal relationships between data, thanks to information from places you wouldn’t have thought to look.
- Qlik View connects to multiple data sources to provide more comprehensive views, without compromising performance.
- Our data storytelling functionality makes it easier to share analysis visually, communicate your findings with teams, and collaborate more efficiently.
Learn more: http://www.qlik.com/en-gb/products/qlikview
Import data into Qlik View
To get started, simply download Qlik View onto your computer.
Once Qlik View has been installed, you may download the REST connector which will give you access to AT Internet’s API.
To do this, download the QvRestConnector_setup.exe file available on Qlik’s website: https://help.qlik.com/en-US/connectors/Content/QlikView.htm
You can find detailed Qlik documentation here
If you are unable to download this plugin, please contact AT Internet’s support teams, who will provide it to you via WeTransfer.
Once downloaded, there’s nothing more to do – the connector will automatically link to your Qlik View application.
Select a data source
In Qlik View, start a new project, a new sheet and edit a new script.
A script editor window will open. Select the REST connector downloaded in Data > Data Base. A window will open to create the connection to AT Internet’s API.
Create a Rest setup
This important step enables you to create the setup of your REST connector and to import your AT Internet data into Qlik.
You will then be able to load a REST URL (in XML or JSON format) which you can obtain directly in the Data Queryapplication within AT Internet’s Analytics Suite.
Create a query in Data Query
Build your query in Data Query and select the API REST URL relating to your dataset.
To be able to import data into Qlik, it’s mandatory to have the Data Explorer option enabled, which will give me access to the Data Query application.
Go into Data Query. Create a new template, or use an existing template:
Import data from AT Internet’s API into Qlik
Select the URL created at the bottom of your dataset, in JSON, HTML or XML format.
Only paste the beginning of your URL, up until GET DATA: https://apirest.atinternet-solutions.com/data/v2/json/getData
Paste this Data Query URL into the URL section of the setup window.
Then, you must login in order to access your data. Enter your AT Internet login and password.
Now, specify the different parameters that make up this API URL by detailing out each “Query parameter” one by one.
The URL obtained in Data Query offers the following parameters:
Carefully transfer these parameters over into the different fields below:
To save your data connection, be sure to verify that your connection has been successfully tested.
When you get back to the editor mode, resize the window to make appear the OK button which will allows you to validate and import the data source.
Once the connection is registered, you have to reload the data by clicking in the Menu File > Reload data.
Create your graphs
Once your data has been imported (visualised), you can easily build your own report (sheet) by creating a first graph. Create your data representations using the available palette of visualisations.
To get more AT Internet data, you can create an exhaustive template in Data Query, or connect several templates by reproducing the above steps as many times as needed.
Activating this partnership activates the export of AT Internet data into Qlik. Only the data necessary for the proper functioning of the bridge are exported.