Data Modeling for NoSQL Document-Oriented Databases.

Abstract

In database technologies, some of the new issues increasingly debated are non-conventional applications, including NoSQL (Not only SQL) databases, which were initially created in response to the needs for better scalability, lower latency and higher flexibility in an era of bigdata and cloud computing. These non-functional aspects are the main reason for using NoSQL database. However, currently there are no systematic studies on data modeling for NoSQL databases, especially the document-oriented ones. Therefore, this article proposes a NoSQL data modeling standard in the form of ER diagrams, introducing modeling techniques that can be used on documentoriented databases. On the other hand the purpose of this article is not structure the data using the model proposed, but it does helping with the visualization of data. In addition, to validate the proposed model, a study case was implemented using genomic data.