Abstract
Business intelligence (BI) solutions help managers to make decisions. Big Data and Cloud Computing are both the most important thechnologies that offer new opportunities for business intelligence and data analytics systems. However, traditional data warehouse must be revised to provide business intelligence services based on cloud computing from big data sources. This data in these systems is collected from a variety of sources and stored in various types. Consequently, they need a high performance information technology infrastructure that provides superior computational efficiency and storage capacity. One possible way to deal with new data warehouse architecture design is the use of cloud computing paradigm. This latter offers useful methods, platforms and services that manage in an efficient way this massive data during the processing, computing, storage, and analyzing steps. In this paper, we propose a new cloud based data warehouse architecture for big data analytics perspective. More precisely, we detail the proposed layers such as data warehouse infrastructure, platform and analytics software as a service for supporting big data analytics.
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Dabbèchi, H., Nabli, A., Bouzguenda, L. (2016). Towards Cloud-Based Data Warehouse as a Service for Big Data Analytics. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_17
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DOI: https://doi.org/10.1007/978-3-319-45246-3_17
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