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(2024) INFORMATION MANAGEMENT IN BUSINESS ENVIRONMENTS: DEVELOPMENT OF DATA WAREHOUSES FOR EDUCATIONAL PURPOSES

机译:(2024)商业环境中的信息管理:用于教育目的的数据仓库

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Advances in technologies, decreasing costs in massive storage, as well as a higher and faster access to available information along the Internet, are some of the factors involved in the existence of a current continuous stream of data that, properly stored and processed, can be later analysed to be applied in scenarios such as marketing strategies or decision support systems. High volume, complexity, evolution along time, and heterogeneity in data sources are common features in this type of information, and appropriate structures are required. Data warehouses arise as a tool to integrate, store and properly manage this data. While traditional databases were designed to allow continuous and concurrent access to data by a large number of users, data warehouses are focused on organizing, analysing and retrieving data from a higher level in an organization or enterprise. Information is seen as an asset, and is structured by means of a multidimensional model, where each dimension contains a number of hierarchical features that allow the expert to analyse data at different detail levels. The design of data warehouse is not a trivial stage, starting from the point that information must be collected from several, heterogeneous, data sources, and later pre-processed and integrated and stored into the data warehouse, as it has to be built according to the requirements and goals of the organization. Because of this, several commercial, as well as free, open source, software solutions are currently available to aid the user in the performing of these tasks. In this sense, it is very interesting to introduce Engineering students into this field of data analysis and information management. This paper summarizes the educational experience, which took place between academic years 2013 and 2015 as part of a teaching innovation project, involving different courses and degrees in the University of Jaen (Spain). This experience has consisted of developing a practical experience to our students using a platform based on a multidimensional database model. This initiative has introduced the students in the different levels of information management considered in a data warehouse, in like manner as the information is processed in a real environment. This approach was followed taking into account two different courses competencies and profiles. Thus, we will analyse the differences between the experience performed on the students of the Degree in Computer Engineering, where it is crucial to be able to deal with the design and implementation of a data warehouse, and students in the Degree in Statistics and Business where the development of strategies or performance policies regarding information retrieved from the data warehouse is more relevant to the development of their professional skills.
机译:进步技术,海量存储降低成本,以及沿Internet上提供的信息,更高,更快的访问,是一些参与的是,正确地存储和处理数据的电流连续流存在的因素,可以后来分析了情景应用等市场战略或决策支持系统。高体积,复杂性,沿时间演变,而在数据源的异质性是在这种类型的信息共同的特征,并且需要适当的结构。数据仓库出现的整合,存储和妥善管理这些数据的工具。虽然传统的数据库被设计为允许大量用户的连续和并发数据访问,数据仓库主要集中在组织,分析和在组织或企业更上一层楼检索数据。信息被看作是一种资产,并且由多维模型,其中每个维度包含许多分层的功能,使专家分析在不同细节水平的数据的装置的结构。数据仓库的设计不是一件简单的阶段,从该信息必须从几个,异构,数据源收集和以后预处理和集成,并存储到数据仓库中的点开始,因为它必须根据要建的要求和组织的目标。正因为如此,一些商业,以及自由的,开放源码的软件解决方案目前可帮助用户在这些任务的执行。在这个意义上说,这是非常有趣的工程学生介绍到数据分析和信息管理的这个领域。本文总结了教育经验,发生学年2013年至2015年作为教学创新项目的一部分,涉及到不同的课程和学位哈恩大学(西班牙)。这些经验包括开发使用基于多维数据库模型的平台我们的学生具有实际经验的。这一举措已经介绍了不同级别的数据仓库中考虑的信息管理,以同样的方式对学生的信息在真实环境中进行处理。这种做法随后考虑到两个不同的课程能力和配置文件。因此,我们将分析在攻读计算机工程,它是能够处理数据仓库的设计和实施至关重要的学生进行体验之间和学生的学位统计与企业,其中的差异,关于从数据仓库中检索信息的策略或性能策略的发展更切合他们的专业技能的发展。

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