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

Autoren Reinhard Stumptner
Christian Lettner
Bernhard Freudenthaler
Editoren Roberto Moreno-Diaz
Franz Pichler
Alexis Quesada-Arencibia
TitelCombining relational and NoSQL database systems for processing sensor data in disaster management
BuchtitelComputer Aided Systems Theory - EUROCAST 2015 Revised Selected Papers
Typin Buch
VerlagSpringer
SerieLecture Notes in Computer Science
Band9520
ISBN978-3-319-27339-6
DOI10.1007/978-3-319-27340-2_82
MonatDecember
Jahr2015
Seiten663-670
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.