Authors: Abderrazak Sebaa, Fatima Chikh, Amina Nouicer, Abdelkamel Tari

 

Journal Title: Journal of Information Systems Engineering and Management
 
ISSN: 2468-4376 (Online)
 
Publisher: Lectito
 
Abstract
 
Traditional data warehouses have played a key role in decision support system until the recent past. However, the rapid growing of the data generation by the current applications requires new data warehousing systems: volume and format of collected datasets, data source variety, integration of unstructured data and powerful analytical processing. In the age of the Big Data, it is important to follow this pace and adapt the existing warehouse systems to overcome the new issues and challenges. In this paper, we focus on the data warehousing over big data. We discuss the limitations of the traditional ones. We present its alternative technologies and related future work for data warehousing.
 

Illustration Photo: Warehouse (credits: Caribb / Flickr Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

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