Data Management, Analytics and Interoperability

Abstract The rapid expansion of Internet of Things (IoT) systems has produced large-scale, high-velocity datasets that demand efficient management, real-time analytics, and secure interoperability. Blockchain technology offers a decentralized and tamper-resistant framework that enhances IoT data ecosystems. This study proposes a unified architecture that integrates distributed data management, streaming analytics, semantic interoperability, privacy-preserving mechanisms, and machine learning.