TY - GEN
T1 - The efficiency that non-relational database modeling brings to software development
AU - Carrion-Escobar, Enzo Joao
AU - Monterrey-Camarena, Angie Noelia
AU - Chumpitaz-Caycho, Hugo Eladio
AU - Espinoza-Gamboa, Ericka Nelly
AU - Mendoza-Arenas, Ruben Dario
AU - Espinoza-Cruz, Manuel Alberto
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - The present research aimed to analyze the level of efficiency of different modeling techniques used in a non-relational database between the years 2015 to 2021. Four specific databases such as Scopus, IEEE Xplore, Ebsco and SciencieDirect were considered for the search of scientific articles. In general terms, 45 original articles were identified according to the research title, each of them was evaluated according to the exclusion criteria resulting in the discarding of 35 articles. Consequently, 10 scientific articles were part of the source of information for this research, and an exhaustive and detailed review was made of what was written by each author in relation to the study variables. In conclusion, it can be pointed out that, due to the increasing volume of information that is continuously generated around the world, there is a need to create new non-traditional structures to store it and although several authors have agreed that there are several ways to do it, unfortunately, there have not been developed enough modeling techniques for a non-relational database.
AB - The present research aimed to analyze the level of efficiency of different modeling techniques used in a non-relational database between the years 2015 to 2021. Four specific databases such as Scopus, IEEE Xplore, Ebsco and SciencieDirect were considered for the search of scientific articles. In general terms, 45 original articles were identified according to the research title, each of them was evaluated according to the exclusion criteria resulting in the discarding of 35 articles. Consequently, 10 scientific articles were part of the source of information for this research, and an exhaustive and detailed review was made of what was written by each author in relation to the study variables. In conclusion, it can be pointed out that, due to the increasing volume of information that is continuously generated around the world, there is a need to create new non-traditional structures to store it and although several authors have agreed that there are several ways to do it, unfortunately, there have not been developed enough modeling techniques for a non-relational database.
KW - Data modeling
KW - retrieval
KW - storage
UR - https://www.scopus.com/pages/publications/85175633807
U2 - 10.1109/BDAI59165.2023.10256834
DO - 10.1109/BDAI59165.2023.10256834
M3 - Conference contribution
AN - SCOPUS:85175633807
T3 - 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
SP - 17
EP - 22
BT - 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
Y2 - 7 July 2023 through 9 July 2023
ER -