Towards Enabling Clouds for IoT: Interoperable Data Management Approaches by Multi-clouds

Author(s):  
Tamas Pflanzner ◽  
Roland Tornyai ◽  
Attila Kertesz
Author(s):  
Matthias Lederer ◽  
Juluis Lederer

Data-driven business processes management (BPM) is regarded as a central future trend because automation often makes huge amounts of data (big data) available for the optimisation and control of workflows. Software manufacturers also use this trend and call their solutions big data applications, even if some features are reminiscent of traditional data management approaches. This chapter derives from the basic definitions of big data including 13 central requirements that a big data BPM solution must meet in order to be described as such. One hundred twenty-one process management solutions are evaluated on the basis of these to determine whether they are real big data applications. As a result, less than 5% of all solutions analysed meet all requirements.


Author(s):  
Ari Brozinski

This chapter discusses the current situation of Popularization of Geology (PoG) and geotourism with focus set on Finland. An introduction to Centralized Data Management (CDM) is given and its potential benefits for PoG and geotourism are investigated. Additionally, the pathway for producing CDM-driven geotourism is explored. Finally, practical examples that were planned and realized by the author introduce the use of CDM systems.


Author(s):  
Michael Schmidt ◽  
Thomas Hornung ◽  
Norbert Küchlin ◽  
Georg Lausen ◽  
Christoph Pinkel

2011 ◽  
Vol 13 (3) ◽  
pp. 311-336 ◽  
Author(s):  
Sherif Sakr ◽  
Anna Liu ◽  
Daniel M. Batista ◽  
Mohammad Alomari

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