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

C. Lettner, B. Freudenthaler. Combining relational and NoSQL database systems for processing sensor data in disaster management. volume 9520, pages 663-670, DOI 10.1007/978-3-319-27340-2_82, 12, 2015.

Autoren
  • Christian Lettner
  • Bernhard Freudenthaler
BuchComputer Aided Systems Theory - EUROCAST 2015 Revised Selected Papers
TypIn Buch
VerlagSpringer
SerieLecture Notes in Computer Science
Band9520
DOI10.1007/978-3-319-27340-2_82
ISBN978-3-319-27339-6
Monat12
Jahr2015
Seiten663-670
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.