Architecture and Code Functionality Overview

Type of course:

Digital learning, Lesson

Language:

Duration:

15 minutes

Workload:

1 hour

Proficiency:

Intermediate

Target:

Professionals, Students

SUMMARY

Embark on an exciting journey into the realm of secure data exchange with this comprehensive lesson! Designed to introduce you to the cutting-edge concepts of the International Data Spaces (IDS), this course provides a deep dive into the architecture that enables seamless and secure data interactions.

Through hands-on exercises and real-world applications, you will master essential Python modules, learn how to manage and integrate APIs, and gain practical experience in setting up and working with Docker environments. By the end of this course, you will not only understand the fundamental principles behind secure data transactions but also develop the technical skills necessary to implement these concepts in real-world scenarios.

Whether you are a data enthusiast, an IT professional, or an industry expert looking to enhance your expertise, this course will equip you with the knowledge and tools to navigate the evolving landscape of secure and efficient data management. Stay ahead of the curve and become a leader in the future of data-driven innovation!

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.