应用数据仓库技术设计一个学术数据存储库

Luz María Hernández-Cruz, M. Castillo-Téllez, Martina Díaz-Rosado, Johan Oliver Chan-Chi
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引用次数: 0

摘要

本文提出了基于数据仓库技术的学术数据存储库的设计与构建方案。这项研究的倡议源于对大量数据的识别,以及将这些数据结合起来分析高等教育机构管理人员决策中的有关指标的重要性。应用研究提出了Hefesto v2.0方法的使用和实现,该方法能够逐步指导数据仓库的开发,确保其启动。作为附加价值,集成了新兴技术,特别是Microsoft SQL Server 2019和Visual Studio 2019。所公布的结果将作为一个应用研究案例,供信息系统管理员、行政人员和教育机构主任使用,他们希望执行战略,以优化和提高面向教育过程的数据分析的效率,以便为决策提供辨别相关结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of an academic data repository applying data warehouse technology
This article presents the proposal for the design and construction of an academic data repository under data warehouse technology. The initiative of the study arises from the identification of large volumes of data and the importance of combining them to analyze relevant indicators in decision-making by managers in higher-level educational institutions. The applied research proposes the use and implementation of the Hefesto v2.0 methodology capable of guiding step by step in the development of the data warehouse ensuring its start-up. As an added value, emerging technologies are integrated, particularly Microsoft SQL Server 2019 and Visual Studio 2019. The exposed results will serve as an applied study case for information systems administrators, administrative personnel and directors of educational institutions who wish to implement strategies with the aim of optimizing and make more efficient the analysis of data oriented to the benefit of educational processes that allow discerning relevant findings for decision-making.
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