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Previous issue date: 2016-08-26 / Este trabalho consiste em criar uma ferramenta de BI (Business Intelligence) dispon?vel
em nuvem (cloud computing) atrav?s de SaaS (Software as Service) utilizando
t?cnicas de ETL (Extract, Transform, Load) e tecnologias de Big Data, com a inten??o
de facilitar a extra??o descentralizada e o processamento de dados em grande quantidade.
Atualmente, constata-se que ? praticamente invi?vel realizar uma an?lise consistente sem
o aux?lio de um software para gera??o de relat?rios e estat?sticas. Para tais fins, a obten??o
de resultados concretos com a tomada de decis?o exige estrat?gias de an?lise de
dados e vari?veis consolidadas. Partindo dessa vis?o, enfatiza-se neste estudo o Business
Intelligence (BI) com o objetivo de simplificar a an?lise de informa??es gerenciais e estat?sticas
para propiciar indicadores atrav?s de gr?ficos ou listagens din?micas de dados
gerenciais. Assim, ? poss?vel inferir que, com o crescimento exponencial dos dados torna-se
cada vez mais dif?cil a obten??o de resultados de forma r?pida e consistente, tornando
necess?rio atuar com novas t?cnicas e ferramentas para tratamentos de dados em larga
escala. Este trabalho ? de natureza t?cnica de cria??o de um produto de Engenharia de
Software, fundamentado a partir do estudo da arte da ?rea, e de um comparativo com as
principais ferramentas existentes no mercado, evidenciando vantagens e desvantagens da
solu??o criada. / This work is to create a BI tool (Business Intelligence) available in the cloud (cloud
computing) through SaaS (Software as Service) using ETL techniques (extract, transform,
load) and Big Data technologies, with the intention of facilitating decentralized extraction
and data processing in large quantities. Currently, it appears that it is practically
impossible conduct a consistent analysis without the aid of a software for reporting and
statistics. For these purposes, the achievement of concrete results with decision making requires
data analysis strategies and consolidated variable. From this view, it is emphasized
in this study Business Intelligence (BI) in order to simplify the analysis of management
information and statistics to provide indicators through graphs or dynamic lists of data
management. Thus, it is possible to infer that with the exponential growth of data becomes
increasingly difficult to obtain results quickly and consistently, making it necessary to
work with new techniques and tools for large-scale data processing. This work is technical
in nature to create a product of Software Engineering, based from the study of art in the
area, and a comparison with the main existing tools on the market, showing advantages
and disadvantages of the created solution. / 2020-12-31
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/22304 |
| Date | 26 August 2016 |
| Creators | Silva Neto, Arlindo Rodrigues da |
| Contributors | 01231423420, http://lattes.cnpq.br/4986614168117334, Lopes, Frederico Ara?jo da Silva, 03555375407, http://lattes.cnpq.br/9177823996895375, Medeiros Neto, Francisco Dantas de, 00735640440, http://lattes.cnpq.br/5525562330158282, Lima, Gleydson de Azevedo Ferreira |
| Publisher | PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA DE SOFTWARE, UFRN, Brasil |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/embargoedAccess |
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