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Combining Relational and NoSQL Database Systems for Processing Sensor Data in Disaster Management

  • Reinhard StumptnerEmail author
  • Christian Lettner
  • Bernhard Freudenthaler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9520)

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 data 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 compatibility and integrability issues.

Notes

Acknowledgments

The research leading to these results has received funding from the ERA-NET EraSME program under the Austrian grant agreement No. 836684, project “INDYCO - Integrated Dynamic Decision Support System Component for Disaster Management Systems” and has been supported by the COMET program of the Austrian Research Promotion Agency (FFG).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Reinhard Stumptner
    • 1
    Email author
  • Christian Lettner
    • 1
  • Bernhard Freudenthaler
    • 1
  1. 1.Software Competence Center Hagenberg, Data Analysis SystemsHagenbergAustria

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