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eDWaaS:可扩展的教育数据仓库即服务

eDWaaS: A Scalable Educational Data Warehouse as a Service

Anupam Khan, Sourav Ghosh, Soumya K. Ghosh

摘要:

高校管理一直处于不断创新政策以提高服务质量的过程中。学生的智力发展,大学的受欢迎程度是管理层努力改进的一些主要领域。作出任何决定都需要相关的历史数据。此外,近年来,向各种大学排名框架提供数据是一项频繁的活动。这种要求的格式经常变化,这需要有效的人工努力。维护数据仓库可以解决这个问题。然而,内部和外包的专用数据仓库的实施可能不是一个具有成本效益和智能的解决方案。这项工作提出了一个教育数据仓库作为一个服务(eDWaaS)模型来存储多所大学的历史数据。建议的多租户模式有利于大学维护他们的数据仓库在一个具有成本效益的解决方案。它还解决了实现这种数据仓库即服务模型时的可伸缩性问题。

英文摘要:

The university management is perpetually in the process of innovating policies to improve the quality of service. Intellectual growth of the students, the popularity of university are some of the major areas that management strives to improve upon. Relevant historical data is needed in support of taking any decision. Furthermore, providing data to various university ranking frameworks is a frequent activity in recent years. The format of such requirement changes frequently which requires efficient manual effort. Maintaining a data warehouse can be a solution to this problem. However, both in-house and outsourced implementation of a dedicated data warehouse may not be a cost-effective and smart solution. This work proposes an educational data warehouse as a service (eDWaaS) model to store historical data for multiple universities. The proposed multi-tenant schema facilitates the universities to maintain their data warehouse in a cost-effective solution. It also addresses the scalability issues in implementing such data warehouse as a service model.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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