Research in Big Data Warehousing using Hadoop
Abderrazak Sebaa 1 * , Fatima Chikh 1, Amina Nouicer 1, Abdelkamel Tari 1
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1 LIMED laboratory, Computer Science Department, University of Bejaia, Bejaia, ALGERIA
* Corresponding Author

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

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.20897/jisem.201710

, 2017 - Volume 2 Issue 2, Article No: 10

Publication date: 30 Mar 2017

Article Views: 3060

Article Downloads: 2393

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