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Research on the Method of Constructing Distributed Data Lake Driven by Virtualization Model

机译:虚拟化模型驱动的分布式数据湖构建方法研究

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In this paper, the method of constructing distributed data lake driven by virtualization model is analyzed and studied. Through the selection of rich information resources, and the definition of the data model, combined with a set of data specifications of the virtualization model, the edge computing technology has achieved the selfgovernance of integrated economic internal data. Comparison and virtualization model-driven method of building distributed Data Lake are with logical and physical dispersion characteristics, and practice the purpose” of data handling. It not only solves the problem that some comprehensive economic entities do not want to upload the original data federation of industry and analysis the business demand for large data, but also is very good to meet the need of real-time processing business for live data, reduce the amount of data handling costs at the same time, and finally improve the economy.
机译:本文分析和研究了构建虚拟化模型驱动的分布式数据湖的方法。通过选择丰富的信息资源,以及数据模型的定义,结合了一组数据规范的虚拟化模型,边缘计算技术已经实现了综合经济内部数据的自我自由步。建筑物分布式数据湖的比较和虚拟化模型驱动方法具有逻辑和物理色散特性,并练习数据处理的目的。它不仅解决了一些全面的经济实体不想上传工业的原始数据联合的问题并分析业务需求的大数据,而且很好地满足实时处理业务的实时数据,同时减少数据处理成本的数量,最终改善经济。

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