Research on Big Data Architecture, Key Technologies and Its Measures

Xiaoquan Li, Fujiang Zhang, Yongliang Wang
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引用次数: 10

Abstract

Big data require exceptional technologies to efficiently process large quantities of data within tolerable elapsed times, such as capture, curation, storage, search, sharing, transfer, analysis and visualization. Concept, features, construction importance, architecture, run mode, and its key technologies of big data are analyzed in this paper. Information sharing and data security under big data constructin are studied, at last, four measures for building big data are putforward, which can provide good decision-making for big data construction.
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大数据架构、关键技术及措施研究
大数据需要卓越的技术在可容忍的时间内有效地处理大量数据,如捕获、管理、存储、搜索、共享、传输、分析和可视化。分析了大数据的概念、特征、构建重要性、体系结构、运行模式及其关键技术。研究了大数据建设下的信息共享和数据安全问题,最后提出了建设大数据的四项措施,为大数据建设提供了良好的决策依据。
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