FIWARE Framework: Architecture, User Guide, and Schema Setup

This course provides a comprehensive understanding of the FIWARE Framework within the Confacts2 project, covering its architecture, deployment, configuration, and data management processes. Participants will explore the system’s core components, including the integration of FIWARE with the International Data Spaces (IDS) for secure data exchange. The course begins with an overview of the architecture, where learners will study how various Python modules interact to collect data from OPC-UA devices and REST APIs, store it locally in FIWARE, and securely transfer it to IDS.

The next section focuses on system deployment and configuration. Participants will learn how to set up the FIWARE Framework using Docker, configure authentication and data processing settings via JSON files, and initialize schemas through API endpoints. Practical exercises will include launching FIWARE services, monitoring data collection, and managing stored information in CrateDB.

In the final module, learners will delve into schema configuration, understanding how data is structured, processed, and mapped before being uploaded to FIWARE or IDS. Through hands-on tasks, they will define queries for different data sources, configure field mappings, and ensure efficient data interoperability. By the end of the course, participants will have the knowledge and skills to set up and manage a scalable, secure data exchange framework using FIWARE and IDS.

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.