Use of Big Data in Healthcare with Spark

With many theoretical and technological obstacles in health big data processing, it is hard to transfer data into successful and valuable applications. Meeting the challenge of handling big data in healthcare information construction procedure this paper proposes a referential architecture on the Spark platform to overcome the problems in healthcare big data process. Context-aware monitoring is an emerging technology that provides real-time personalized health-care services and a rich area of big data application. Spark is a memory-based computing framework which has a better ability of computing and fault tolerance, supports batch, interactive, iterative and flow calculations. Based on the proposed architecture a prototype has been built for healthcare big data analysis.