Research on Digital Classroom Construction in the Information Age under Computer Big Data Technology

The data storage consists of three parts: SARM storage, CD-ROM and hard disk. The OLAP server is arranged, and the switch is used to realize the functional integration of front-end tools and applications. Through the personalized data analysis model, the data mining parallelization technology is adopted, the data clustering center is updated through the K-means clustering algorithm and the MapReduce parallel computing framework, the clustering performance index is minimized, and the data in the personalized data source is effectively mined. Analysis, the conclusions after analysis are regularized to generate teaching rules, which are presented to students through human-computer interaction to improve the intelligence and personalization of the teaching system.