Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agrawal Sr, M., Joshi Sr, A.S., Velez, A.F.: Best Practices in Data Management for Analytics Projects (2017)
Aziz, A.A., Jusoh, J.A., Hassan, H., Idris, W., Rizhan, W.M., Zulkifli, M., Putra, A., Yusof, M., Anuwar, S.: A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies. J. Theor. Appl. Inf. Technol. 69(1), 50–58 (2014)
Cuzzocrea, A., Moussa, R.: A cloud-based framework for supporting effective and efficient OLAP in big data environments. In: Proceedings - 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2014, pp. 680–684 (2014)
Dell’Aquila, C., Di Tria, F., Lefons, E., Tangorra, F.: An academic data warehouse. In: Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications, pp. 229–235 (2007)
Di Tria, F., Lefons, E., Tangorra, F.: Academic data warehouse design using a hybrid methodology. Comput. Sci. Inf. Syst. 12(1), 135–160 (2015). https://doi.org/10.2298/CSIS140325087D
Kaur, H., Agrawal, P., Dhiman, A.: Visualizing clouds on different stages of DWH-an introduction to data warehouse as a service. In: 2012 International Conference on Computing Sciences (ICCS), pp. 356–359. IEEE (2012)
Khan, A., Ghosh, S.K.: Analysing the impact of poor teaching on student performance. In: 2016 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), IEEE (2016)
Kurniawan, Y., Halim, E.: Use data warehouse and data mining to predict student academic performance in schools: A case study (perspective application and benefits). In: Proceedings of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013, pp. 98–103 (2013)
Pucciarelli, F., Kaplan, A.: Competition and strategy in higher education: managing complexity and uncertainty. Bus. Horizons 59(3), 311–320 (2016)
Saada, A.I., El Khayat, G.A., Guirguis, S.K.: Cloud computing based ETL technique using warehouse intermediate agents. In: Proceedings - ICCES 2011: 2011 International Conference on Computer Engineering and Systems, pp. 301–306 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Khan, A., Ghosh, S., Ghosh, S.K. (2018). eDWaaS: A Scalable Educational Data Warehouse as a Service. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_96
Download citation
DOI: https://doi.org/10.1007/978-3-319-76348-4_96
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76347-7
Online ISBN: 978-3-319-76348-4
eBook Packages: EngineeringEngineering (R0)