Research on the massive medical data storage platform based on Hadoop

Research on the massive medical data storage platform based on Hadoop

Wang

With the rapid development of medical information, medical data emerges rapidly. However, the existing medical data storage platform is not able to meet the growing demand for massive data. Therefore, it is particularly important to study and develop an effective storage platform to manage and store these massive medical data. Cloud computing provides a low-cost, fault-tolerant, highly scalable and availability solution for the current dilemma of storage analysis of medical data. Based on distributed computing technology, this paper proposes a new method to manage and store massive medical data. It provides a solution for massive data storage based on Hadoop, using Linux clustering technology. A large number of experimental results show that the platform is highly efficient, reliable, scalable and fault tolerant.

Research on the massive medical data storage platform based on Hadoop