Pervasive Real-Time Analytical Framework—A Case Study on Car Parking Monitoring

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information (Switzerland) Pub Date : 2023-10-25 DOI:10.3390/info14110584
Francisca Barros, Beatriz Rodrigues, José Vieira, Filipe Portela
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Abstract

Due to the amount of data emerging, it is necessary to use an online analytical processing (OLAP) framework capable of responding to the needs of industries. Processes such as drill-down, roll-up, three-dimensional analysis, and data filtering are fundamental for the perception of information. This article demonstrates the OLAP framework developed as a valuable and effective solution in decision making. To develop an OLAP framework, it was necessary to create the extract, transform and load the (ETL) process, build a data warehouse, and develop the OLAP via cube.js. Finally, it was essential to design a solution that adds more value to the organizations and presents several characteristics to support the entire data analysis process. A backend API (application programming interface) to route the data via MySQL was required, as well as a frontend and a data visualization layer. The OLAP framework was developed for the ioCity project. However, its great advantage is its versatility, which allows any industry to use it in its system. One ETL process, one data warehouse, one OLAP model, six indicators, and one OLAP framework were developed (with one frontend and one API backend). In conclusion, this article demonstrates the importance of a modular, adaptable, and scalable tool in the data analysis process and in supporting decision making.
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普适实时分析框架——以停车场监控为例
由于新出现的数据量,有必要使用能够响应行业需求的在线分析处理(OLAP)框架。向下钻取、向上卷取、三维分析和数据过滤等过程是信息感知的基础。本文演示了作为决策制定中有价值且有效的解决方案而开发的OLAP框架。要开发OLAP框架,有必要创建提取、转换和加载(ETL)流程,构建数据仓库,并通过cube.js开发OLAP。最后,必须设计一个解决方案,为组织增加更多的价值,并提供几个特征来支持整个数据分析过程。需要通过MySQL路由数据的后端API(应用程序编程接口),以及前端和数据可视化层。OLAP框架是为ioCity项目开发的。然而,它最大的优点是它的多功能性,这使得任何行业都可以在其系统中使用它。开发了一个ETL流程、一个数据仓库、一个OLAP模型、六个指标和一个OLAP框架(一个前端和一个API后端)。总之,本文展示了模块化、可适应和可扩展的工具在数据分析过程和支持决策制定中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
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