Design And Implement Of Teaching Resource Sharing System Based On Big Data

With the deepening of education information,various schools have become more and more rich in network teaching resources.On the one hand,these resources provide students with a diversified way of learning and ways to promote the reform of teaching in the modern educational environment.On the other hand,with the increasing amount of resources,the traditional resource management is on the other hand.It brings great challenges.In order to expand the sharing of resources,improve the utilization efficiency of resources,solve the problems of uneven distribution of teaching resources among schools and the management and retrieval of massive data resources,this paper designs and implements a teaching resource sharing system in the large data environment.In this paper,we use the idea and method of software engineering to analyze,design and implement the teaching resource management system.On the whole structure,the system is composed of two parts:the front door portal and the backstage management.In the software architecture,the system uses the Struts,Spring and Hibernate framework to support the operation of the system and realizes the various business interactions with the user.In the storage and retrieval,the Hadoop cluster is constructed,and the distributed file system HDFS and MapReduc are used.E-computing model provides a consistent data storage and business access interface to realize the unified management and parallel retrieval of massive teaching resources.In terms of function design and implementation,this paper focuses on three modules:user management,resource management and resource retrieval,and gives specific solutions.The construction of teaching resource sharing system based on big data technology provides a useful solution for the storage and sharing of mass teaching resources at present and in the future,and makes the analysis and retrieval of massive teaching resources and data more rapid and accurate.While maintaining the stability of the system,it improves the security and expansibility of the system,and promotes the education and teaching informationization to a new level under the support of big data technology.