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Managing unstructured data in relational databases

机译:在关系数据库中管理非结构化数据

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A relational database is a basic repository for many businesses, with its robust data structure for retrieving, organizing, and managing data. However, despite its data structure characteristic, a massive amount of data it contains remains unstructured. These unstructured data affects query processing performance and contributes to the difficulty of the user to manage or retrieve the data. Many attempts have been made to reorganize or directly process these data. In this paper, discusses methods of managing unstructured data in the relational database management system. And show the significance of managing these data. Furthermore, the difference in managing such data between relational and NoSQL databases is highlighted. This study will help developers and researchers in managing unstructured data and in addressing important issues that affect query processing which otherwise meaningless if those were not well managed.
机译:关系数据库是许多企业的基本存储库,其强大的数据结构可用于检索,组织和管理数据。但是,尽管具有数据结构特征,但其中包含的大量数据仍然是非结构化的。这些非结构化数据会影响查询处理性能,并导致用户难以管理或检索数据。已经进行了许多尝试来重组或直接处理这些数据。本文讨论了在关系数据库管理系统中管理非结构化数据的方法。并显示了管理这些数据的重要性。此外,突出显示了在关系数据库和NoSQL数据库之间管理此类数据的区别。这项研究将帮助开发人员和研究人员管理非结构化数据,并解决影响查询处理的重要问题,否则,如果管理不善,这些问题将毫无意义。

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