The Power of a Model-Driven Approach to Handle Evolving Data Warehouse Requirements

Taktak, Saïd; Alshomrani, Saleh; Feki, Jamel; Zurfluh, Gilles

doi:10.5220/0006209001690181

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…The article [5] implements an MDA approach, its aims to automate the propagation of changes raised by decision-makers, the solution is based on three evolution models: ─ DS Evolution Model: it describes what can affect the multidimensional structures ─ Requirements Evolution Model: it concerns the new needs of de decision-makers in term of axes analysis ─ M2M transformation: it generates DWEM from REM implemented in QVT ─ M2T transformation: it deploys the code generated In the article [6], the authors presented an MDA approach for the development of DWs, they applied the transformations from a UML PIM to generate a DW PIM with the use of QVT language, so they were able to obtain a multidimensional model from a simple UML model.…”

Section: Findings and Analysismentioning

confidence: 99%

MDA Approach for Designing and Developing Data Warehouses: A Systematic Review & Proposal

Hanine¹,

Lachgar²,

Elmahfoudi³

et al. 2021

Int. J. Onl. Eng.

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A data warehouse (DW) is a vast repository of data that facilitates decision-making for businesses and companies. This concept dates back to the 1980s and it has been widely accepted. One of the key points for the success of the process of data warehousing lies in the definition of the warehouse model depending on data sources and analysis needs. Once the data warehouse is designed, the content and structure of the data sources, as well as the requirements analysis are required to evolve, therefore, an evolution of the model must take place (diagram and data). In this context, several approaches have been developed to design and implement data warehouses. Nevertheless, there is no standard process that deals with designing all of the data warehouse layers, also, there is no software that encompasses this type of problem. In general, the majority of these approaches focus on a particular aspect of data warehouse such as data storage, ETL process, OLAP, reporting, etc, and does not cover its entire lifecycle. A Model-Driven Architecture (MDA) is a standard approach, its aims to support all phases of software manufacturing by promoting the use of models and the transformations between them. Moreover, this approach aims to automate the process of software engineering, thereby decreasing the cost of software development and enhancing its productivity. In this study, we present a systematic review of various works on the data warehouse design methods. We compare and discuss these works according to the criteria that seem relevant for this issue. We present a new design approach for multidimensional schemas construction from relational models using MDA techniques, we also develop the resulting research perspectives.

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Section: Findings and Analysismentioning

confidence: 99%

MDA Approach for Designing and Developing Data Warehouses: A Systematic Review & Proposal

Hanine¹,

Lachgar²,

Elmahfoudi³

et al. 2021

Int. J. Onl. Eng.

View full text Add to dashboard Cite

show abstract

“…Earlier researches applied MDA approach for data warehouses specification and design (Luján-Mora et al, 2006;Maté and Trujillo, 2014;Mazón et al, 2005Mazón et al, , 2006Mazón and Trujillo, 2008). Other aspects of data warehouses were aligned with the MDA approach later (El Akkaoui et al, 2011;Taktak et al, 2017). These researches (El Akkaoui et al, 2011, Luján-Mora et al, 2006Maté and Trujillo, 2014;Mazón et al, 2005Mazón et al, , 2006Mazón and Trujillo, 2008;Taktak et al, 2017) only considers data warehouses without supporting the data mining process.…”

Section: Related Workmentioning

confidence: 99%

“…Other aspects of data warehouses were aligned with the MDA approach later (El Akkaoui et al, 2011;Taktak et al, 2017). These researches (El Akkaoui et al, 2011, Luján-Mora et al, 2006Maté and Trujillo, 2014;Mazón et al, 2005Mazón et al, , 2006Mazón and Trujillo, 2008;Taktak et al, 2017) only considers data warehouses without supporting the data mining process. We quote the CWM (OMG, 2003), which is an MDA approach standard.…”

Section: Related Workmentioning

confidence: 99%

A support architecture to MDA contribution for data mining

Meskine¹,

Bahloul²

2020

IJDMMM

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The data mining process is the sequence of tasks applied to data, in order to discover relations between them to have knowledge. However, the data mining process lacks a formal specification that allows it to be modelled independently of platforms. Model driven architecture (MDA) is an approach for the development of software systems, based on the use of models to improve their productivity. Several research works have been elaborated to align the MDA approach with data mining on data warehouses, to specify the data mining process in a very high level of abstraction. In our work, we propose a support architecture that allows positioning these researches in different abstraction levels, on the basis of several criteria; with the aim to identify strengths for each level, in term of modelling; and to have a clear visibility on the MDA contribution for data mining.

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Self-service Business Intelligence over On-Demand IoT Data: A New Design Methodology Based on Rapid Prototyping

Plazas¹,

Bimonte²,

Schneider³

et al. 2020

Communications in Computer and Information Science

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The Power of a Model-Driven Approach to Handle Evolving Data Warehouse Requirements

Cited by 5 publications

References 9 publications

MDA Approach for Designing and Developing Data Warehouses: A Systematic Review & Proposal

MDA Approach for Designing and Developing Data Warehouses: A Systematic Review & Proposal

A support architecture to MDA contribution for data mining

Self-service Business Intelligence over On-Demand IoT Data: A New Design Methodology Based on Rapid Prototyping

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