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Title:
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BIG DATA: A CASE STUDY ON DATA FROM THE BRAZILIAN MINISTRY OF PLANNING, BUDGETING AND MANAGEMENT |
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Author(s):
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Ruben C. Huacarpuma, Daniel da C. Rodrigues, Antonio M. Rubio Serrano, João Paulo C. Lustosa da Costa, Rafael T. de Sousa Júnior, Maristela Holanda, Aleteia P. F. Araujo |
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ISBN:
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978-989-8533-20-3 |
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Editors:
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Hans Weghorn |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Big Data, NoSQL, Hbase, Hadoop |
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Type:
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Short Paper |
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First Page:
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201 |
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Last Page:
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205 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The Brazilian Ministry of Planning, Budgeting and Management (MPOG) has to deal with enormous amounts of data. Processing all this data in a better way can reduce operating costs and makes it possible to invest public resources in a more rational way. In this paper, we apply Big Data technologies such as Hadoop and Hbase to solve the data load and query problems for distributed data processing. We validate the proposed processes based on the Big Data tools by comparing them with the current process used in the Integrated System for Human Resources Management, in Portuguese Sistema Integrado de Administração de Pessoal (SIAPE). The inclusion of Big Data technologies in the proposed solution increases the performance of the process in terms of loading and querying time. |
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