From a NoSQL data source to a business intelligence solution: An experiment

• Autor(a) principal: Costa, Marco
• Data de Publicação: 2015
• Outros Autores: Pereira, José Luís Mota
• Idioma: eng
• Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Texto Completo: http://hdl.handle.net/1822/39193
• topic: Big Data; NoSQL; Business Intelligence; Dashboard; Pentaho; Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

We are living in the era of Big Data. A time which is characterized by the continuous creation of vast amounts of data, originated from different sources, and with different formats. First, with the rise of the social networks and, more recently, with the advent of the Internet of Things (IoT), in which everyone and (eventually) everything is linked to the Internet, data with enormous potential for organizations is being continuously generated. In order to be more competitive, organizations want to access and explore all the richness that is present in those data. Indeed, Big Data is only as valuable as the insights organizations gather from it to make better decisions, which is the main goal of Business Intelligence. In this paper we describe an experiment in which data obtained from a NoSQL data source (database technology explicitly developed to deal with the specificities of Big Data) is used to feed a Business Intelligence solution.