A Case Study on Model-Driven Data Warehouse Development

Author(s):  
Thomas Benker ◽  
Carsten Jürck
Keyword(s):  
2018 ◽  
Vol 14 (3) ◽  
pp. 44-68 ◽  
Author(s):  
Fatma Abdelhedi ◽  
Amal Ait Brahim ◽  
Gilles Zurfluh

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.


Author(s):  
Hong Guo ◽  
Hallvard Trætteberg ◽  
Alf Inge Wang ◽  
Shang Gao

Author(s):  
Samuel Otero Schmidt ◽  
Edmir Parada Vasques Prado

Organizations are currently investing more in information technology to store and process a vast amount of information. Generally, this information does not comply with any standard, which hinders the decision-making process. The cause of the difficulties can be attributed to Information Quality (IQ), which has technical characteristics related to the architecture used in Data Warehouse (DW) and Business Intelligence (BI) environments. On the basis of the relevant literature in IQ, DW, and BI, a research model was created to identify the relations between components of DW/BI architecture and IQ dimensions. This research model was applied in a real case study (Big Financial Company in Brazil). This case study involved semi-structured interviews with managers and analysts. This chapter attempts to provide a better understanding of the relations between IT architecture and IQ in DW and BI environments. The authors hope to motivate the discussion around the development of IQ-oriented architectures for BI and the relationship between these concepts.


Author(s):  
Ersin Er ◽  
Bedir Tekinerdogan

Model-Driven Software Development (MDSD) aims to support the development and evolution of software intensive systems using the basic concepts of model, metamodel, and model transformation. In parallel with the ongoing academic research, MDSD is more and more applied in industrial practices. Like conventional non-MDSD practices, MDSD systems are also subject to changing requirements and have to cope with evolution. In this chapter, the authors provide a scenario-based approach for documenting and analyzing the impact of changes that apply to model-driven development systems. To model the composition and evolution of an MDSD system, they developed the so-called Model-Driven Software Evolution Language (MoDSEL) which is based on a megamodel for MDSD. MoDSEL includes explicit language abstractions to specify both the model elements of an MDSD system and the evolution scenarios that might apply to model elements. Based on MoDSEL specifications, an impact analysis is performed to assess the impact of evolution scenarios and the sensitivity of model elements. A case study is provided to show different kind of evolution scenarios and the required adaptations to model elements.


2013 ◽  
Vol 9 (4) ◽  
pp. 63-84 ◽  
Author(s):  
Rachid Dehbi ◽  
Mohamed Talea ◽  
Abderrahim Tragha

The model driven engineering and generative programming are revolutionizing software development just as automation and computerization revolutionized the manufacturing process. The key technologies of these approaches are the model transformations, and development in the XML technologies. In this paper the authors show the contribution of these two techniques in the implementation of LMSGENERATOR, a Multi-target Learning management system generator with a model-driven methodology based on MDA approach coupled with component approach. Based on generative programming, from user specifications (abstract models) and the desired technologies, software bricks will be generated and assembled to produce a complete solution adapted to the area and the users’ needs. This paper focuses on the transformation rules implemented in the LMSGENERATOR cores, in particular the transformation of a detailed UML class diagram, representing a business model, into the LMS Business component. Thus, the authors show the role of programming in model transformations through the use of API manipulating UML diagrams and XML files. Also this work presents a case study to illustrate this proposed plan.


2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983388
Author(s):  
Xianyu Zhang ◽  
Xinguo Ming ◽  
Zhiwen Liu ◽  
Maokuan Zheng ◽  
Yuanju Qu

With the continuous improvement of living standards, customers are gradually pursuing products which are individualization, entertainment, and scene. The production model of the enterprise has changed from the traditional inventory model to the manufacturing model driven by the customer orders. By analyzing the evolution process of customer to business, we get the overall framework of customer to business based on customer platform-connecting manufactory platform-connecting service. A case study in the automotive industry is introduced, which takes customer to business as the implementation of enterprise strategy. The detailed implementation process is discussed from the four aspects of open and networked demand for personalized customer (C), open and networked manufacturing (M), open and networked service (S), open and networked collaborative platform (P). The objective of this article is to provide general references for enterprises to change from traditional business-to-customer model to open and interconnected customization model by combining the improved customer-to-business framework and its application in automotive industry. The framework we put forward has achieved good results in related customer-to-business projects we participated in. The research results of this article can be used as a reference for enterprises to design, set, and carry out the model of customer to business.


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