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Research on the Mass structured Data Storage and Sorting Algorithm and Methodology for SQL Database under the Big Data Environment

机译:大数据环境下SQL数据库质量结构数据存储和分类算法和方法研究

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In this paper, we research on the research on the mass structured data storage and sorting algorithm and methodology for SQL database under the big data environment. With the data storage market development and centering on the server, the data will store model to data-centric data storage model. Storage is considered from the start, just keep a series of data, for the management system and storage device rarely consider the intrinsic value of the stored data. The prosperity of the Internet has changed the world data storage, and with the emergence of many new applications. Theoretically, the proposed algorithm has the ability of dealing with massive data and numerically, the algorithm could enhance the processing accuracy and speed which will be meaningful.
机译:本文介绍了大数据环境下SQL数据库质量结构数据存储和分类算法和方法研究的研究。 通过数据存储市场的开发和居中,数据将将模型存储到以数据为中心的数据存储模型。 从开始时考虑存储,只需保留一系列数据,对于管理系统和存储设备很少考虑所存储数据的内在值。 互联网的繁荣已经改变了世界数据存储,并出现了许多新应用。 从理论上讲,所提出的算法具有处理大规模数据和数值的能力,该算法可以提高处理精度和速度,这将是有意义的。

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