Could NoSQL Replace Relational Databases in FMIS?

Could NoSQL Replace Relational Databases in FMIS?

Giancarlo Rodrigues, Alaine Margarete Guimarães
ISBN13: 9781522559788|ISBN10: 1522559787|EISBN13: 9781522559795
DOI: 10.4018/978-1-5225-5978-8.ch002
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MLA

Rodrigues, Giancarlo, and Alaine Margarete Guimarães. "Could NoSQL Replace Relational Databases in FMIS?." Innovations and Trends in Environmental and Agricultural Informatics, edited by Petraq Papajorgji and Francois Pinet, IGI Global, 2018, pp. 38-57. https://doi.org/10.4018/978-1-5225-5978-8.ch002

APA

Rodrigues, G. & Guimarães, A. M. (2018). Could NoSQL Replace Relational Databases in FMIS?. In P. Papajorgji & F. Pinet (Eds.), Innovations and Trends in Environmental and Agricultural Informatics (pp. 38-57). IGI Global. https://doi.org/10.4018/978-1-5225-5978-8.ch002

Chicago

Rodrigues, Giancarlo, and Alaine Margarete Guimarães. "Could NoSQL Replace Relational Databases in FMIS?." In Innovations and Trends in Environmental and Agricultural Informatics, edited by Petraq Papajorgji and Francois Pinet, 38-57. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5978-8.ch002

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Abstract

FMIS (farm management information systems) is the computational tool responsible to process data to get information that improves farmers' decision support. The data manipulated in FMIS is originated from diverse sources, stored, and read whenever necessary without subsequent modifications, thus dismissing the necessity of complex data storage systems such as offered by the relational model. Due to its capability to handle with high performance, a large amount of unstructured data and to reduce the complexity of applications, the NoSQL data storage model, a convenient alternative to relational model, recently gained a lot of attention in the information systems market. This way, this chapter discusses how NoSQL models could improve the FMIS architecture and performance when used as data storage. Some works that have already benefited from NoSQL model adoption are reviewed and convenient use cases where both data storage models could be well used in FMIS's architecture are advised and discussed.

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