大数据时代网络学习环境的数据融合

Big Data Era of Network Learning Environment Data Integration

当前各网络学习系统和资源库之间存在着信息孤岛现象。文章以大数据时代为背景,首先认为造成这种现象的原因主要包括数据的多源异构性和新兴网络技术的应用,如系统的异构,模式的异构和物联网技术等。为了解决这个问题,必须构建异构数据共享系统,该系统包括应用层、数据服务层和数据层。与此相关的关键技术应该具备完成海量数据的存储和海量数据运算的功能。其主要解决策略是从非结构化数据库入手解决异构数据融合问题,其中具有代表性的就是noSQL技术,它具有易扩展、高性能、数据模型灵活等特点。在此基础上,通过数据的表示及格式转换、数据互操作和直接数据访问模式等方式,完成异构数据的集成,最终实现网络学习环境之间"直通车"目的。总之,该论文对网络学习环境中的异构数据和集成进行初步的探讨,希望对今后的相关研究起到抛砖引玉的作用。

With the rapid development of computer and network technology,＂Digitization＂ university has become all universities＇ main goal of information construction at present, many different database technologies are used to manage the education of each department.For the history reason, these information systems lacks of integrated planning and systematic design, resulting in the dependence and bad share of information. The effective way to solve the problem is to establish exchange platform for heterogeneous data exchange. Especially big data as a new network concept, to develop the field of education from a new learning space.So how to improve the network resources use efficiency; the use of big data is faced with the challenge of the heterogeneous data.