使用Hefesto v2.0方法实现数据仓库:以COVID-19为例

Luz Maria Hernandez Cruz, Francisco Javier Barrera Lao, Diana Concepción Mex Alvarez, M. Castillo Téllez, Roberto Carlos Canto Canul, Josue Israel Solis May, Mayra Deyanira Flores Guerrero
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引用次数: 0

摘要

本文的目的是提出设计和构建一个数据存储库的建议,旨在存储与COVID-19当前形势相关的事实,并在面对潜在的传染风险时获得相关的准确信息,以供决策。开展这项研究的动机是,面对大流行,需要集中可靠和易于获取的信息来监测病例。同样,建议使用Hephaestus v2.0方法来逐步指导数据仓库的开发,这保证了实现的成功。作为附加价值,使用了新兴技术Microsoft SQL server 2019和Visual Studio 2022。本文提供的结果将作为信息系统管理员在构建数据存储库和业务智能解决方案中的应用案例研究。同样,它有助于科学研究的研究路线,将接受和认可的方法或标准与新兴技术相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of the Hefesto v2.0 methodology to implement a Data warehouse: Case applied COVID-19
The objective of this article is to present the proposal for the design and construction of a data repository with the intention of storing facts related to the current situation of COVID-19 and obtaining relevant and precise information for decision-making in the face of the latent risk of contagion. The motivation for this study arises from the need to centralize reliable and easily accessible information for monitoring cases in the face of the pandemic. Likewise, the use of the Hephaestus v2.0 methodology is proposed to guide the development of the Data warehouse step by step, which guarantees the success of the implementation. As an added value, the use of emerging technologies Microsoft SQL server 2019 and Visual Studio 2022 are integrated. The results presented will serve as an applied case study for information system administrators in the construction of data repositories and business intelligence solutions. Likewise, it contributes to the research line of scientific studies that integrate accepted and recognized methodologies or standards with emerging technologies.
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