Hi,

Usually it's pretty straightforward:

1. Check if there's standard connector (Probably not)
2. Check if there's REST API / OData to get the data
3. Try to use option to build custom extractor using custom extractor builder in Data Integration module
4. If for any reason you're missing a option to fully utilise that API (f.e. authorization requires series of requests to first get auth token) or don't like it (like me) - just write your own. You can prototype in Postman (Postman: The Complete Guide - REST API Testing | Udemy) and autogenerate python code, to be used in ML workbench along with PyCelonis / Data Push API.

With that case, as it's "Intelligent Data Management cloud" you can also make it the other way around, utilising only Data Push API and using that platform - up to you.

Link: Cloud API and Application Integration | Informatica

Link2: Data Upload - PyCelonis

Link3: Getting Started (celonis.com)

Best Regards,

Mateusz Dudek