Constellation, le dépôt institutionnel de l'Université du Québec à Chicoutimi

Résumé

This paper aims at developing the Big Data Architecture, and its relation with Analytics, Cloud Services as well as Business Intelligence. The chief aim from all mentioned is to enable the Enterprise Architecture and the Vision of an Organizational target to utilize all the data they are ingesting and regressing data for their short-term or long-terms analytical needs, while making sure that they are addressing during the design phase of such data architecture for both directly and indirectly related stakeholder. Since all stakeholders have their relative interests to utilize the transformed data-sets. This paper also identifies most of the Big Data Architecture, threat analysis within a Big Data System and Big Data Analytic Roadmaps, in terms of smaller components by conducting a gap-analysis that has significant importance as Baseline Big Data Architecture, targeting the end resultant Architectures, once the distillation process of main Big Data Architecture is completed by the Data architects.