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

Said Taktak, Saleh Alshomrani, Jamel Feki, Gilles Zurfluh
2017 Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development  
This paper proposes a model-driven approach for extending DWE in order to consider a further related evolutionary aspect: The evolution of decision-makers' needs.  ...  In this evolving context, we have developed the DWE (Data Warehouse Evolution) framework. DWE automatically propagates the changes of the data source data-model on the DW data-model.  ...  Section 3 describes our MDAbased approach for the propagation of decisional requirements evolution towards the multidimensional DW model; this approach extends our framework DWE «Data Warehouse Evolution  ... 
doi:10.5220/0006209001690181 dblp:conf/modelsward/TaktakAFZ17 fatcat:krdn5akbn5ej5djjgh5itvcbjy

Metadata and Adaptive Object-Models [chapter]

Joseph W. Yoder, Reza Razavi
2000 Lecture Notes in Computer Science  
A way to meet such requirements is to use an Adaptive Object-Model (AOM). This paper describes common architectures for adaptive object-models and summarizes the results from our ECOOP 2000 workshop.  ...  Participants to this workshop focused on comparisons between the Adaptive Object-Model's approach and those of Reflection and Metamodeling.  ...  require access to large-scale data repositories or data warehouses.  ... 
doi:10.1007/3-540-44555-2_9 fatcat:sbulerdfefadrmp5vrn74uqx2m

Data Warehouse Life-Cycle and Design [chapter]

Tore Risch, Turkmen Canli, Ashfaq Khokhar, Jun Yang, Kamesh Munagala, Adam Silberstein, Panos K. Chrysanthis, Evaggelia Pitoura, Venkatesh Ganti, Amol Deshpande, Hong-Hai Do, James Caverlee (+156 others)
2009 Encyclopedia of Database Systems  
For example, data ownership is power within an organization. Any attempt to share or take control over somebody else's data is equivalent to a loss of power of this particular stakeholder.  ...  SYNONYMS Data Warehouse design methodology DEFINITION The term data warehouse life-cycle is used to indicate the phases (and their relationships) a data warehouse system goes through between when it is  ...  Requirement analysis and conceptual design play a crucial role in handling DW peculiarities (a) and (b) Cube Implementation Cube Data Mart Data warehouse indexing Data warehouse maintenance, evolution  ... 
doi:10.1007/978-0-387-39940-9_117 fatcat:4pdfgnvprncz3lm7ok45lsntaq

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

Mohamed Hanine, Mohamed Lachgar, Sara Elmahfoudi, Omar Boutkhoum
2021 International Journal of Online and Biomedical Engineering (iJOE)  
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  ...  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.  ...  The MDA Approach proposed Table 1 . 1 Studies selection Authors Paper name Source Taktak, S. et al., 2017 The Power of a Model-Driven Approach to Handle Open Archive Tou- Evolving Data Warehouse Requirements  ... 
doi:10.3991/ijoe.v17i10.24667 doaj:6c9aeabbe9e64e089723553043d021d0 fatcat:vhyk5fovf5fzlgnf26ydsi4kri

Evolution not Revolution: The Data Warehousing Strategy at Credit Suisse Financial Services [chapter]

Markus Tresch, Dirk Jonscher
2001 Lecture Notes in Computer Science  
Over the past twenty years, a large number of warehouse-flavored applications was built, ranging from simple data pools to classical management information systems, up to novel customer relationship management  ...  Therefore, Credit Suisse Financial Services started a 3-year enterprise-wide data warehouse re-engineering initiative at the beginning of 1999.  ...  is archiving in the context of evolving data models (schemas).  ... 
doi:10.1007/3-540-45341-5_3 fatcat:mcm4a6k325fsbkchixjuqcc6ga

Conceptual Design of an XML FACT Repository for Dispersed XML Document Warehouses and XML Marts

R. Rajugan, E. Chang, T.S. Dillon
2005 The Fifth International Conference on Computer and Information Technology (CIT'05)  
In this paper, we address such an issue, where we propose a view-driven approach for modeling and designing of a Global XML FACT (GxFACT) repository under the MDA initiatives.  ...  To deal with organizations' evolving decision-making needs, we also provide three design strategies for building and managing of such GxFACT in the context of modeling of further hierarchical dimensions  ...  Due to e-Sol's dynamic and heterogeneous nature (both system and data), the data warehouse model should support rapidly evolving new data formats (from relational, XML to propriety data scripts), at a  ... 
doi:10.1109/cit.2005.90 dblp:conf/IEEEcit/RajuganCD05 fatcat:23iolhk6ircujojnrvhkmjtgxy

Managing Evolving Business Workflows through the Capture of Descriptive Information [article]

Sebastien Gaspard, Florida Estrella, Richard McClatchey & Regis Dindeleux
2003 arXiv   pre-print
The approach is compared to other model-driven development approaches such as the Model-Driven Architecture of the OMG and so-called Adaptive Object Models.  ...  A practical example of the CRISTAL technology in the domain of manufacturing systems, called Agilium, is described to demonstrate the principles of model-driven system evolution and integration.  ...  Acknowledgments The authors take this opportunity to acknowledge the support of their home institutes and numerous colleagues responsible for the CRISTAL & Agilium software.  ... 
arXiv:cs/0310048v1 fatcat:sr2jurnwq5drfeugptzvtk6pk4

Using Self-Description to Handle Change in Systems [article]

Florida Estrella, Richard McClatchey (Univ West of England, Bristol, UK), Zsolt Kovacs, Jean-Marie Le Goff, Steven Murray
2002 arXiv   pre-print
A practical example of this architecture is described, demonstrating the use of description-driven data objects in handling system evolution.  ...  To address the issue of evolvability in designing self-describing systems, this paper proposes a pattern-based, object-oriented, description-driven architecture.  ...  Acknowledgments The authors take this opportunity to acknowledge the support of their home insti-tutes. A. Bazan, N. Baker, A.Branson, P. Brooks, G. Chevenier, T. Le Flour, C. Koch, S.  ... 
arXiv:physics/0204032v1 fatcat:cmo3pwnnerba5df4zng3swt5sy

A concept of enterprise big data and BI workflow driven platform

Maciej Pondel
2015 Proceedings of the 2015 Federated Conference on Computer Science and Information Systems  
This paper describes the author's concept for universal enterprise platform that allows to benefit from modern approaches to data analysis based on Business Intelligence and Big Data technologies.  ...  Whole platform is designed the way that can be provided in a cloud environment.  ...  We can consider traditional BI based on ETL Process, data warehouses, data marts, OLAP, dashboards, scorecards and analytics. The Business Intelligence approach is still evolving.  ... 
doi:10.15439/2015f343 dblp:conf/fedcsis/Pondel15 fatcat:2p6hadceufhdbebmwpdaakivha

the Change from Data Warehousing to Business Intelligence : The Concept of Data Sources ' Dynamicity

Reham Moustafa Essa
2020 المجلة العلمیة للدراسات التجاریة والبیئیة  
Requirement-driven approaches start from determining the information requirements of end users, and how to map these requirements onto the available data sources is investigated only a posteriori [15,  ...  Data-driven approaches design the DW starting from a detailed analysis of the data sources; user requirements impact on design by allowing the designer to select which chunks of data are relevant for decision  ... 
doi:10.21608/jces.2020.119559 fatcat:xsjdhl4tybgnla4ln2rneg4hqi

Innovative Approaches for efficiently Warehousing Complex Data from the Web [article]

Fadila Bentayeb, Hadj Mahboubi, Cécile Favre, Omar Boussaïd
2017 arXiv   pre-print
Our contributions cover the main phases of the data warehouse design process: data integration and modeling and user driven-OLAP analysis.  ...  With the development of Internet, the availability of various types of data has increased. Thus, users require applications to help them obtaining knowledge from the Web.  ...  To design and build data warehouses, traditional data and goal-driven approaches bear the latent risk of not meeting user requirements.  ... 
arXiv:1701.08643v1 fatcat:2u67xdmvsnfizieie2qtajfmze

Finding an application-appropriate model for XML data warehouses

Franck Ravat, Olivier Teste, Ronan Tournier, Gilles Zurfluh
2010 Information Systems  
Finding an appropriate model for an XML data warehouse tends to become complicated as more and more solutions appear.  ...  Decision support systems help the decision making process with the use of OLAP (On-Line Analytical Processing) and data warehouses. These systems allow the analysis of corporate data.  ...  Currently approaches such as goal oriented requirement engineering [70] and model driven engineering [39] are being developed. Adaptations to XML context could be considered.  ... 
doi:10.1016/j.is.2009.12.002 fatcat:2qeuwx3cx5a5fjxttaobsx2bdy

Postpandemic innovative trends in logistics, distribution and supply chain

Laura Lachvajderová, Jaroslava Kádárová, Ján Kopec, Denisa Rybárová
2022 Advanced Logistic Systems - Theory and Practice  
This unpleasant situation has presented the whole of logistics with new challenges and problems, which society and industry have tried with their approach to achieving non-stagnant logistics processes,  ...  This scientific output describes the weaknesses of material flows and the lack of resilience of supply chains, which resulted in the outbreak of the COVID-19 pandemic.  ...  Combination of Production and Supply Demand-driven supply model orientation, as well as a holistic approach to digital transformation and intelligent logistics automation, include data integration and  ... 
doi:10.32971/als.2022.002 fatcat:urhb6wwuhbghzhihrsyc3cauhq

Adaptive Approach of Data Mining Using HACE Algorithm

Megha AChandak
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
This paper gives brief idea about a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining point of view.  ...  Bi g Data is a new term used to identify the datasets that due to their large size and complication.  ...  Many data mining tools at present operate outside the warehouse require extra steps for extract, importing and analyzing the data.  ... 
doi:10.17762/ijritcc2321-8169.150385 fatcat:vqigb6rk4vcsdesdonm2jn73gy

Design of a reference architecture for developing smart warehouses in industry 4.0

Maarten van Geest, Bedir Tekinerdogan, Cagatay Catal
2021 Computers in industry (Print)  
Similar to other industrial domains, warehouses have also evolved as a result of advancements in science and technology.  ...  We first provide the results of a thorough domain analysis process to smart warehouses to identify the key concerns that shape the architecture of smart warehouses.  ...  Declaration of Competing Interest The authors report no declarations of interest.  ... 
doi:10.1016/j.compind.2020.103343 fatcat:dvotg67dnjefxovhoat7izag6y
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