Abstract:

The continuous changes of the data environment have brought enormous challenges to traditional methods of data processing and analysis. It is necessary for information processing architecture and data model to be adapted to the big data environment. This paper presents a big data processing framework with three levels, including data storage level, data management level and computing model level, based on the characteristics and core components of big data architecture. In the study, the researchers focused on the exploratory practice and application of mixed data models and data modeling technologies in a big data environment, and investigated the application of big data architecture and data model in medical insurance and financial data analysis, healthcare quality management and health risk assessment.

Key words: Big data environment, Information architecture, Data modeling, Healthcare data analysis