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  • DataLys project: Development of a testing and analysis system for continuous data streams and their transfer into relational data models

DataLys project: Development of a testing and analysis system for continuous data streams and their transfer into relational data models

Project manager

Schaumberger Andreas, Dr.

Mag. MSc. Andreas Schaumberger

Grassland management and cultural landscape

The DATALYS project developed an application that is suitable for transferring data from various sources (continuous data streams from sensors, manual input, laboratory results, computer models, etc.) into a uniform, relational database.

The data model is aimed at scientific experiments, can be expanded as desired and thus adapts to different questions or areas of application without additional effort. The flexibility of the data model allows interdisciplinary application as well as optimal adaptation to changes and expansions in the research focus. In addition to automated migration of sensor data, a user interface via web browser enables user-controlled input and output of data. This database interface is also the basis for collaboration between project partners, who can feed distributed data into the system and query it centrally.

 

Schaumberger, A.; Adelwöhrer, M. and Schink, M. (2016): Development of a testing and analysis system for continuous data streams and their transfer into relational databases, final report, HBLFA Raumberg-Gumpenstein, Irdning, 36 p.

 

 

team

Adelwöhrer Manuel

Manuel Adelwoehrer

Agricultural and environmental informatics
Schink Martina

Martina Schink

Environmental ecology

 

Development of a testing and analysis system for continuous data streams and their transfer into relational data models

Schaumberger Andreas (2012 - 2014)
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