Formalizing the Mapping of UML Conceptual Schemas to Column-Oriented Databases

Fatma Abdelhedi, Amal Ait Brahim and Gilles Zurfluh
Additional contact information
Fatma Abdelhedi: CBI2 – TRIMANE, Paris, France
Amal Ait Brahim: Toulouse Institute of Computer Science Research (IRIT), Toulouse Capitole University, Toulouse, France
Gilles Zurfluh: Toulouse Institute of Computer Science Research (IRIT), Toulouse Capitole University, Toulouse, France

International Journal of Data Warehousing and Mining (IJDWM), 2018, vol. 14, issue 3, 44-68

Abstract: Nowadays, most organizations need to improve their decision-making process using Big Data. To achieve this, they have to store Big Data, perform an analysis, and transform the results into useful and valuable information. To perform this, it's necessary to deal with new challenges in designing and creating data warehouse. Traditionally, creating a data warehouse followed well-governed process based on relational databases. The influence of Big Data challenged this traditional approach primarily due to the changing nature of data. As a result, using NoSQL databases has become a necessity to handle Big Data challenges. In this article, the authors show how to create a data warehouse on NoSQL systems. They propose the Object2NoSQL process that generates column-oriented physical models starting from a UML conceptual model. To ensure efficient automatic transformation, they propose a logical model that exhibits a sufficient degree of independence so as to enable its mapping to one or more column-oriented platforms. The authors provide experiments of their approach using a case study in the health care field.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJDWM.2018070103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jdwm00:v:14:y:2018:i:3:p:44-68

Access Statistics for this article

International Journal of Data Warehousing and Mining (IJDWM) is currently edited by Eric Pardede

More articles in International Journal of Data Warehousing and Mining (IJDWM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().