Data mesh is an emerging domain-driven decentralized data architecture that aims to
minimize or avoid operational bottlenecks associated with centralized, monolithic data …

In modern tactical operations, efficient and effective communication combined with robust
data processing can significantly enhance the decision-making processes. However, these …

Machine learning offers a promising avenue for improving the efficiency and effectiveness of
decision-making in disaster recovery and relief efforts. These operations face significant …

The increasing complexity and volume of organizational data have led to the emergence of
the Data Mesh paradigm, a data architecture with a federated governance aimed at …

The internet of things, social media and other technological developments have a created a
situation in which more and more sensitive data is being exchanged between government …

Machine learning is an effective methodology for enabling real-time data-driven decision-
making in tactical scenarios, but its application in such scenarios raises many challenges …

Military operations invariably involve devices at the edge (eg sensors, drones, handsets of
soldiers, etc.) In edge environments, good network connectivity cannot be assumed due to …

High-Stakes Environments, such as industrial settings and natural disaster relief operations,
are pivotal areas where decision-making speed and accuracy critically influence safety …

This thesis aims to develop a comprehensive data mesh reference architecture, based on
the ArchiMate enterprise architecture modelling language, to guide organizations in …