Integration library for analyzing historical data from the Cumulocity IoT platform in Python
Name
Silver Laius
Abstract
In this thesis, a library was created in Python, which can be used to query historical data from the REST API of the Cumulocity IoT platform. The purpose of the library is to make it easier and faster to retrieve data from Cumulocity and convert it into a easy-to-process format. When creating the library, the focus was on retrieving large amounts of data with the highest performance. The library was used to obtain traffic counter data for analyzing the 2019 Metallica concert. In addition, this thesis presents the data analysis workflow and the results, which roads and at what time the concert audience arrived at and left Tartu.
Graduation Thesis language
Estonian
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Jakob Mass
Defence year
2020