Process Mining and Big Data: What Service and Library Creators Do Not Reveal

Process Mining is gaining momentum, and data scientists strive to help businesses get insights from chaotic user actions and build beautiful graphs. 

Alexander and his team have analyzed the performance of popular libraries and services and prepared engineering approaches to optimize graph work. The speaker will talk about the pros and cons of such libraries as pm4py, retentioneering and SberGraph, as well as present a pipeline for optimizing the performance of these services.