Welcome to the InfoSci Platform
Evaluating NoSQL Databases for Big Data Processing within the Brazilian Ministry of Planning, Budget, and Management

Evaluating NoSQL Databases for Big Data Processing within the Brazilian Ministry of Planning, Budget, and Management

Ruben C. Huacarpuma, Daniel da C. Rodrigues, Antonio M. Rubio Serrano, João Paulo C. Lustosa da Costa, Rafael T. de Sousa Júnior, Lizane Leite, Edward Ribeiro, Maristela Holanda, Aleteia P. F. Araujo
Copyright: © 2015 |Pages: 18
ISBN13: 9781466681477|ISBN10: 1466681470|EISBN13: 9781466681484
DOI: 10.4018/978-1-4666-8147-7.ch011
Cite Chapter Cite Chapter

MLA

Huacarpuma, Ruben C., et al. "Evaluating NoSQL Databases for Big Data Processing within the Brazilian Ministry of Planning, Budget, and Management." Artificial Intelligence Technologies and the Evolution of Web 3.0, edited by Tomayess Issa and Pedro Isaías, IGI Global, 2015, pp. 230-247. https://doi.org/10.4018/978-1-4666-8147-7.ch011

APA

Huacarpuma, R. C., Rodrigues, D. D., Serrano, A. M., Lustosa da Costa, J. P., Júnior, R. T., Leite, L., Ribeiro, E., Holanda, M., & Araujo, A. P. (2015). Evaluating NoSQL Databases for Big Data Processing within the Brazilian Ministry of Planning, Budget, and Management. In T. Issa & P. Isaías (Eds.), Artificial Intelligence Technologies and the Evolution of Web 3.0 (pp. 230-247). IGI Global. https://doi.org/10.4018/978-1-4666-8147-7.ch011

Chicago

Huacarpuma, Ruben C., et al. "Evaluating NoSQL Databases for Big Data Processing within the Brazilian Ministry of Planning, Budget, and Management." In Artificial Intelligence Technologies and the Evolution of Web 3.0, edited by Tomayess Issa and Pedro Isaías, 230-247. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8147-7.ch011

Export Reference

Mendeley
Favorite

Abstract

The Brazilian Ministry of Planning, Budget, and Management (MP) manages enormous amounts of data that is generated on a daily basis. Processing all of this data more efficiently can reduce operating costs, thereby making better use of public resources. In this chapter, the authors construct a Big Data framework to deal with data loading and querying problems in distributed data processing. They evaluate the proposed Big Data processes by comparing them with the current centralized process used by MP in its Integrated System for Human Resources Management (in Portuguese: Sistema Integrado de Administração de Pessoal – SIAPE). This study focuses primarily on a NoSQL solution using HBase and Cassandra, which is compared to the relational PostgreSQL implementation used as a baseline. The inclusion of Big Data technologies in the proposed solution noticeably increases the performance of loading and querying time.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.