EconPapers    
Economics at your fingertips  
 

A Big Data Modeling Methodology for NoSQL Document Databases

Gerardo Rossel () and Andrea Manna ()
Additional contact information
Gerardo Rossel: Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina
Andrea Manna: Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina

Database Systems Journal, 2020, vol. 11, issue 1, 37-46

Abstract: This article proposes a design methodology for NoSQL document databases to overcome the limitations of traditional techniques. Non-relational databases have gained increasing interest in recent years, but design methodology has been overlooked. Key-value datastores are an important component of NoSQL databases. The article describes a clean design that enables better data management and consistency. The proposed methodology is expected to be of great help to developers and architects of non-relational databases.

Keywords: NoSQL; Document Databases; Conceptual Modeling; Data Modeling; NoSQL Database developing (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.dbjournal.ro/archive/31/31_5.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:11:y:2020:i:1:p:37-46

Access Statistics for this article

Database Systems Journal is currently edited by Ion Lungu

More articles in Database Systems Journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Adela Bara ().

 
Page updated 2025-03-19
Handle: RePEc:aes:dbjour:v:11:y:2020:i:1:p:37-46