In my previous post about my company’s migration to Qlik Sense Cloud Business, I described my frustration about having to manually upload data to my company’s workspace. I also expressed my belief that Qlik Sense Cloud would grow as fast as Qlik could develop data connectors for it. In his comment to the post, I think Aaron Couron summarized this sentiment well.
“I have to extract the data manually from the database into a file (qvd or otherwise) and put it up on the cloud. I guess that is an issue with any cloud vendor where I have on-premise data to feed it, but because BI, in general, relies so heavily on these kinds of resources, it becomes the “Elephant in the Room”.”
At some point, Qlik looks prepared to make this elephant disappear by adding the myriad connectors it acquired from Industrial CodeBox. Since December 2016, you can extract data directly from Salesforce and just last week Michael Tarallo posted a quick preview of the soon-to-be-released REST connector in Qlik Community. He also purposed a neat way to upload text files from Dropbox through it.
In the meantime, I’ve created a temporary solution to automatically upload data files using a robot. I finished it two weeks ago and it has run well 80% of the time. Barry Harmsen experimented with using a robot in Qlik Sense Cloud to invite users in November 2015. In a comment to the previous post, he shared his experience and remarked about the hassle it was to maintain the robot given how often Qlik Sense Cloud changed its UI flow and even the names of its UI elements. A year and a half later, I assume there are less drastic changes. Over the last 2 weeks, the few issues I’ve had were because my script was in need of some fine tuning and were not due to any change in Qlik Sense Cloud. Regardless, I’ll keep you up to date on the feasibility of using a robot while we wait for a more permanent solution.
Of course, the permanent solution is using a data connector to automatically refresh data directly in Qlik Sense Cloud. I recommend that you stayed informed about Qlik Sense Cloud updates, and that you swap the robot for a connector when the one you need becomes available. While we wait, I will do my best to keep the core script that I share in this post up to date in GitHub, and I will also show you how to maintain it yourself.
The steps we are going to take to create the robot are the following.
- Set up Selenium Webdriver
- Set up AutoIT
- Configure the AutoIT and Selenium code to your environment
- Create and schedule a Windows Task
Before last week, I had never heard of Selenium or AutoIT, so you don’t need to have any previous experience to go through these steps. It took me about 8 hours to get everything up and running including the time I invested in researching which tools to use and creating the script from scratch. I hope that people can be up and running in less than 4 hours with the help of this guide.