Towards Automatic Generation of NoSQL Document-Oriented Models
In: Proceedings of PDPTA 2018 ; 24yh International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2018) ; https://hal.science/hal-02295340 ; 24yh International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2018), Jul 2018, Las Vegas, Nevada, United States. pp.47-53, 2018
Online
Konferenz
Zugriff:
International audience ; The growth of application architectures in all areas (e.g. Astrology, Meteorology, E-commerce, social network, etc.) has resulted in an exponential increase in data volumes, now measured in Petabytes. Managing these volumes of data has become a problem that relational databases are no longer able to handle because of the acidity properties. In response to this scaling up, new concepts have emerged such as NoSQL. In this paper, we show how to design and apply transformation rules to migrate from an SQL relational database to a Big Data solution within NoSQL. For this, we use the Model Driven Architecture (MDA) and the transformation languages like as MOF 2.0 QVT (Meta-Object Facility 2.0 Query-View-Transformation) and Acceleo which define the meta-models for the development of transformation model. The transformation rules defined in this work can generate, from the class diagram, a CQL code for creation column-oriented NoSQL database.
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Towards Automatic Generation of NoSQL Document-Oriented Models
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| Autor/in / Beteiligte Person: | Abdelhedi, Fatma ; Ait Brahim, Amal ; Atigui, Faten ; Zurfluh, Gilles ; indépendant, Chercheur ; Systèmes d’Informations Généralisées (IRIT-SIG) ; Institut de recherche en informatique de Toulouse (IRIT) ; Université Toulouse Capitole (UT Capitole) ; Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J) ; Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3) ; Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP) ; Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI) ; Université Toulouse - Jean Jaurès (UT2J) ; Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3) ; Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole) ; Université de Toulouse (UT) ; Centre d'études et de recherche en informatique et communications (CEDRIC) ; Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers CNAM (CNAM) ; HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM) |
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| Zeitschrift: | Proceedings of PDPTA 2018 ; 24yh International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2018) ; https://hal.science/hal-02295340 ; 24yh International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2018), Jul 2018, Las Vegas, Nevada, United States. pp.47-53, 2018 |
| Veröffentlichung: | HAL CCSD, 2018 |
| Medientyp: | Konferenz |
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