Mohammad Atif Farid, Mcheick Hamid et Grant Emanuel. Big data architecture evolution : 2014 and beyond. Dans : 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2014), DIVANET-ACM , September 21-26, 2014, Montreal, Quebec.
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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.
|Type de document:||Matériel de conférence (Non spécifié)|
|Sujets:||Sciences naturelles et génie > Sciences mathématiques > Informatique|
|Département, module, service et unité de recherche:||Départements et modules > Département d'informatique et de mathématique|
|Mots-clés:||architecture, big data, cloud computing|
|Déposé le:||08 nov. 2016 01:12|
|Dernière modification:||08 nov. 2016 01:12|
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