BigDimETL: ETL for multidimensional Big Data - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

BigDimETL: ETL for multidimensional Big Data

Résumé

With the broad range of data available on the World Wide Web and the increasing use of social media such as Facebook, Twitter, YouTube, etc. a “Big Data” notion has emerged. This latter has become an important aspect in nowadays business since it is full of important knowledge that is crucial for effective decision making. However, this kind of data brings with it new problems and challenges for the Decision Support System (DSS) that must be addressed. In this paper, we propose a new approach called BigDimETL (Big Dimensional ETL) that deals with ETL (Extract-Transform-Load) development process. Our approach focuses on integrating Big Data taking into account the MultiDimensional Structure (MDS) through a MapReduce paradigm.
Fichier principal
Vignette du fichier
mallek_18911.pdf (277.95 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01782548 , version 1 (02-05-2018)

Identifiants

  • HAL Id : hal-01782548 , version 1
  • OATAO : 18911

Citer

Hana Mallek, Faiza Ghozzi, Olivier Teste, Faiez Gargouri. BigDimETL: ETL for multidimensional Big Data. 16th International Conference on Intelligent Systems Design and Application (ISDA 2016), Dec 2016, Porto, Portugal. pp. 935-944. ⟨hal-01782548⟩
162 Consultations
146 Téléchargements

Partager

Gmail Facebook X LinkedIn More