Combining relational and NoSQL database systems for processing sensor data in disaster management

Authors Reinhard Stumptner
Christian Lettner
Bernhard Freudenthaler
Editors Roberto Moreno-Diaz
Franz Pichler
Alexis Quesada-Arencibia
Title Combining relational and NoSQL database systems for processing sensor data in disaster management
Booktitle Computer Aided Systems Theory - EUROCAST 2015 Revised Selected Papers
Type in book
Publisher Springer
Series Lecture Notes in Computer Science
Volume 9520
ISBN 978-3-319-27339-6
DOI 10.1007/978-3-319-27340-2_82
Month December
Year 2015
Pages 663-670
SCCH ID# 1587
Abstract

In disaster and emergency management the integration of different kinds of sensor networks gains in importance and consequently more and more data becomes available. The upcoming NoSQL database systems are flexible and scalable data stores, but up to now lacking in connectivity to traditional da-ta processing systems (data warehouses, business intelligence suites, etc.). Due to that in this work a combined relational and NoSQL data processing approach is proposed to reduce data volume and work load of the relational part and enable the integral solution to process huge amounts of data. In contrast to fully NoSQL-based data warehouse systems, this approach does not face compatibil-ity and integrability issues.