Research on the Secure Medical Big Data Ecosystem Based on Hadoop

Abstract

This paper designs and implements a secure medical big data ecosystem on top of the Hadoop big data platform. It is designed against the background of the increasingly serious trend of the current security medical big data ecosystem. Since traditional healing activities take place in medical institutions, patient users must travel to these institutions to learn about their treatment status. The personalized health information system designed for this purpose enables patient users to understand their treatment and rehabilitation status anytime and anywhere. The above is a consideration from the perspective of the patient user, from the perspective of personal health data. Because traditional medical health data is scattered throughout different independent medical institutions, and these databases are heterogeneous. As a distributed accounting technology for multi-party maintenance and backup information security, blockchain is a good breakthrough point for innovation in medical data sharing. The characteristics of blockchain without a central server make the system without a single point In case of failure, the stability of the system is well maintained. In this paper, the system realizes the personal health data centre on the Hadoop big data platform, and the original distributed data is stored and analysed centrally through the data synchronization module and the independent data acquisition system. Utilizing the advantages of the Hadoop big data platform, the personalized health information system for stroke has designed to provide personalized health management services for patients and facilitate the management of patients by medical staff.

Curriculum Teaching and Research Based on Cloud Computing and Big Data

“…Students actively engage in hands-on activities on cloud computing platforms, including deploying virtual machines, utilizing container technologies, and implementing automation deployment, to deepen their understanding of cloud computing fundamentals. In the context of big data, students build Hadoop [8] clusters, employ Spark for real-time data processing, and utilize NoSQL databases for handling large-scale unstructured data, enabling them to grasp core technologies in big data processing. Through comprehensive practical projects, students hone their abilities in project development, problem-solving, independent thinking, and teamwork, as they collaborate within teams.…”