Bibliographic citations
Tumba, V., (2021). Impacto en la integridad de datos utilizando el Modelo de Datos de Relación Funcional propuesto sobre la ontología de un modelo de negocio para automatizar un diseño de base de datos [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/27946
Tumba, V., Impacto en la integridad de datos utilizando el Modelo de Datos de Relación Funcional propuesto sobre la ontología de un modelo de negocio para automatizar un diseño de base de datos [Tesis]. PE: Universidad Privada del Norte; 2021. https://hdl.handle.net/11537/27946
@mastersthesis{renati/510753,
title = "Impacto en la integridad de datos utilizando el Modelo de Datos de Relación Funcional propuesto sobre la ontología de un modelo de negocio para automatizar un diseño de base de datos",
author = "Tumba Burgos, Victor Piero Milcar",
publisher = "Universidad Privada del Norte",
year = "2021"
}
The results of this research allowed defining, based on the proposed Functional Relationship Data Model, an algorithmic process that consolidates an effort to build an automatic process that obtains Functional Relationship Dependencies by applying Logical Constraints (those that are related to the mathematical concept Functional Relationship) on Logical Data Structures, to achieve the correct design of a database and verify that it complies with Data Integrity. The objective of this research is to solve the problem that occurs in any organization anywhere in the world when designing relational databases. Therefore, what is relevant in the research is to verify that the proposed model works by applying it to the business model of a company. Subsequently, an algorithm was created that can automate the execution of the model, in such a way that, although the model is successful, it is not done manually, and therefore the design does not take too long. Finally, this research concludes that it can be determined that the execution of the Functional Relationship Data Model on a Business Model allows to preserve the Data Integrity of the organizational information, achieving the automation of a Database Design from Logical Structures of data.
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