Type of course:
Digital learning, Lesson
Language:
EN
Duration:
15 minutes
Proficiency:
Intermediate
Target:
Professionals, Students
SUMMARY
Due to this lesson you can dive into the world of secure data exchange! This course unveils the architecture powering data interactions within the International Data Spaces. Master Python modules, manage APIs, and explore Docker setups. Ideal for learners eager to harness the power of data efficiently and securely, this course ensures you are at the forefront of data handling innovations.

About The Author
Pannon Business Network is the collaborative center for applied research, training and advanced manufacturing to catalyse value creation by digitalization as active catalyst of the ecosystem. Linked to industry, academia and citizens, it is facilitating digital, human-centred, resilient and green transformation with focus on business and healthy ageing through its connected divisions.
The 18-year consequent building resulted in three complementary organisation units, and one of them is focusing on advanced manufacturing and this unit is called am-LAB which is a DIH. It focuses on digital technologies, robotics, data science, extended reality and 3D technologies. A broad portfolio of connected technological devices is available in the laboratory, with in-house engineering staff.
Learning outcomes
- By the end of this lesson, students will be able to list the Python modules used in the architecture for data exchange within International Data Spaces, such as opcuai_lib.py, ids_lib.py, and rest_api.py.
- By the end of this lesson, students will be able to describe how these modules interact to facilitate secure and efficient data exchange.
- By the end of this lesson, students will be able to use the knowledge of module functionality to set up a simulated environment for data exchange, configuring each module correctly to ensure data flows smoothly and securely.
Topics
Uncategorized
Tags
analysis
