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Geographic Data Modeling for NoSQL Document-Oriented Databases

Authors:
Wagner Boaventura Filho
Harley Vera Olivera
Maristela Holanda
Aleteia Araujo

Keywords: NoSQL; GIS; Data modeling; Document-oriented database

Abstract:
The integration of Geographical Information Systems (GIS) with relational databases (RDBMS) and the search for interoperable standards among geospatial systems have been featured focuses on the agendas of academia, industry, and the spatial data user community in for some time now. Subsequently, 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, which are very common in the treatment of spatial data, are the main reason for using NoSQL database. However, currently there are no systematic studies on the data modeling for NoSQL databases, especially the document-oriented ones. Therefore, this article proposes a NoSQL data modeling standard, introducing modeling techniques that can be used on document-oriented databases, including geographical features. In addition, to validate the proposed model, a study case was implemented using geographic information on changes in the land use of Brazilian biomes.

Pages: 63 to 68

Copyright: Copyright (c) IARIA, 2015

Publication date: February 22, 2015

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-383-4

Location: Lisbon, Portugal

Dates: from February 22, 2015 to February 27, 2015