Cheers!

Thanks, Malcolm!

hey Kunal,

thanks and to answer the question:
1.) To be honest, I’m not the best person to answer – I usually do data collection in a strong collaboration with (website, app, etc…) developers. They are the people, who are actually implementing the tracking scripts. And from the data side my responsibility is, that to make my data server able to pick up the data, that the developers sending there. I wrote a high-level article about that: https://data36.com/data-collection/
2.) About the exact techniques though the best I can say, that you should use a native solution. Eg. if you have a Java based web-application, most probably your tracking code should be in Java. But I wrote for instance a chatbot not so long ago in Python+Flask – in this case my tracking script was in Python. If you do your website with Django+Python, than you can find some native solution for that as well…
When it comes to a simple HTML, I’m not sure, what’s the fanciest solution today, but I’m almost sure, that on the front-end you should use some JavaScript solution, that communicates with your data server… There’s one old solution called AJAX, back in the days, I’ve used that a few times (a PHP script picked up the data on the data server side).

Hope this helped! 😉

Cheers,
Tomi

You mentioned star schema which is a great data modelling technique. Also, you mentioned R, SQL, Python, and bash which are great data manipulation and analysis tools.
Could you please let us know what techniques can be used to actually capture the data? For example, do we need to create REST API for this task or something else?

Thanks, Jesper!