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Advisor(s)
Abstract(s)
O crescimento exponencial de dados, provenientes de múltiplas fontes e a velocidades diversas, utilizados para a execução dos processos e o apoio à tomada de decisão, torna premente nas organizações, em geral, e nas Forças Armadas, em particular, a existência de estruturas adequadas ao seu armazenamento e processamento, de forma a permitir a sua plena exploração utilizando tecnologias inovadoras.
É, assim, objetivo deste estudo avaliar formas de otimizar o modelo de armazenamento e processamento de dados em vigor nas Forças Armadas, à luz dos requisitos emergentes associados ao Big Data, seguindo um raciocínio indutivo, uma estratégia de investigação qualitativa e um desenho de pesquisa do tipo de estudo de caso.
Através da análise documental de estratégias implementadas pela North Atlantic Treaty Organization e pelas áreas da Defesa de França e Estados Unidos da América, e de conteúdo dos dados das entrevistas semiestruturadas realizadas a 13 experts da Defesa Nacional, do Gabinete Nacional de Segurança e de órgãos associados à investigação e ensino, foram propostas várias medidas, organizadas por vetores de edificação de capacidades militares, tendentes à incorporação de modelos cloud computing na capacidade de armazenamento e processamento de dados das Forças Armadas, de acordo com a premissa cloud first.
The exponential growth of data, incoming from multiple data sources, at different rates, used in process execution and decision making processes, demands for proper storage and processing structures in Organizations, in general, and in the Armed Forces, in particular, in order to allow its adequate exploitation using innovative technologies. The purpose of this research is to evaluate ways to optimize the data storage and processing models used in the Armed Forces, in light of Big Data emergent requirements, using inductive reasoning, a qualitative research strategy and a case study approach. Through documental analysis on the strategies implemented by North Atlantic Treaty Organization and the defense areas of France and the United States of America, as well as data contents resulting from the interviews convened to 13 experts on National Defense, the National Security Office and academia and research entities, a set of measures is presented, grouped by military capabilities building vectors, in order to incorporate cloud computing models in the Armed Forces data storage and processing capability, under the cloud first premise.
The exponential growth of data, incoming from multiple data sources, at different rates, used in process execution and decision making processes, demands for proper storage and processing structures in Organizations, in general, and in the Armed Forces, in particular, in order to allow its adequate exploitation using innovative technologies. The purpose of this research is to evaluate ways to optimize the data storage and processing models used in the Armed Forces, in light of Big Data emergent requirements, using inductive reasoning, a qualitative research strategy and a case study approach. Through documental analysis on the strategies implemented by North Atlantic Treaty Organization and the defense areas of France and the United States of America, as well as data contents resulting from the interviews convened to 13 experts on National Defense, the National Security Office and academia and research entities, a set of measures is presented, grouped by military capabilities building vectors, in order to incorporate cloud computing models in the Armed Forces data storage and processing capability, under the cloud first premise.
Description
Keywords
Armazenamento e Processamento de Dados Cloud Computing Big Data Forças Armadas Data Storage and Processing Cloud Computing Big Data Armed Forces