Distance education resources have the characteristics of large amount of data and rapid growth. Low-cost storage and content-based efficient retrieval of these massive data resources are a major problem in the construction of distance education cloud platforms. Based on Hadoop, this paper designs a set of storage and retrieval methods for the massive resources of distance education, which solves this problem. Distribute the load of video and audio streams to the network. For this reason, this paper proceeds from the reality of the application of the distance teaching platform, fully considers the human factors of the user's order and the technical environment of the video service system and conducts in-depth research on key technologies such as data storage, database update, and resource synchronization in the resource service system. And put forward the following improvements and innovations: use of cloud storage technology; automatic update of educational information in the database; automatic download of resource updates; synchronous update technology, which greatly reduces the workload of managers.