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大数据时代空管设备异构数据集成研究 被引量:1

Research on Heterogeneous Data Integration of Air Traffic Control Equipment in The Big Data Age
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摘要 在大数据时代,机场服务由原来被动查询向信息推送、智能推荐的方向发展,这就需要机场在海量的空管数据和其他数据中进行挖掘出有价值的信息,而传统的关系型数据由于其自身的原因不能很好地适应在海量数据条件下进行数据挖掘和知识发现。针对在海量的数据条件下如何进行数据的集成,提出了基于NoSQL的空管异构数据集成模型,该方法能够存储各种结构的空管数据,同时还能够适应分布式存储并达到较好的性能。 In the era of big data, the airport service develops from the original passive query to the information pushing and intelli- gent recommendation which need valuable information to be mined in the vast amount of air traffic control data and other data. However, the traditional relational data can not adapt to the data mining and knowledge discovery under the circumstance of massive data due to its own reasons. In order to solve the problem, an integrated model of air traffic control based on NoSQL is proposed. The model can store all kinds of heterogeneous data ,simultaneously. The model architecture can achieve very good performance in the distributed memory architecture.
机构地区 西安翻译学院
出处 《微型电脑应用》 2016年第9期44-45,59,共3页 Microcomputer Applications
关键词 大数据 异构数据 非关系型数据库 数据集成 分布式存储 Big Data Heterogeneous Data NoSQL Data Integration Distribute Storage
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参考文献6

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