Big Data X-Learning Resources Integration and Processing in Cloud Environments

Kong Xiangsheng

Abstract


The cloud computing platform has good flexibility characteristics, more and more learning systems are migrated to the cloud platform. Firstly, this paper describes different types of educational environments and the data they provide. Then, it proposes a kind of heterogeneous learning resources mining, integration and processing architecture. In order to integrate and process the different types of learning resources in different educational environments, this paper specifically proposes a novel solution and massive storage integration algorithm and conversion algorithm to the heterogeneous learning resources storage and management cloud environments.

Keywords


learning resource, NoSQL, NewSQL, MapReduce, educational data mining

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Copyright (c) 2017 Kong Xiangsheng


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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