A Secure Data Architecture for Risk-Aware Cloud-Based Broadband and Healthcare Systems Using Apache Iceberg

Abstract

The rapid growth of cloud-based broadband and healthcare systems has led to large-scale data generation, distributed storage, and complex data governance requirements. Ensuring data security, consistency, and risk awareness in such environments remains a significant challenge, particularly when handling sensitive healthcare information alongside high-throughput broadband data. This paper presents a secure data architecture designed to support risk-aware data management in cloud-based broadband and healthcare systems using Apache Iceberg. The proposed architecture leverages Iceberg’s table-level metadata management, schema evolution, and transactional guarantees to enable reliable and auditable data operations across distributed cloud environments. Security controls are integrated at the data storage, access, and processing layers to support compliance, data integrity, and controlled data sharing. Risk-aware mechanisms are incorporated to monitor data access patterns, operational anomalies, and system behavior, enabling proactive identification of potential security and reliability issues. The architecture is evaluated through representative use cases, demonstrating improved data consistency, scalability, and governance compared to conventional cloud data lake approaches. The results indicate that the proposed design offers a practical and robust foundation for secure data management in broadband and healthcare cloud platforms.