Abstract
The aim of the paper is to present a software architecture dedicated to problem of heterogeneous data integration from a number of rather big data sources. The potential capabilities of the architecture are: distribution, decentralization, extensibility and support for code reuse. By applying scalable Erlang technology and concept of plugin processes the presented architecture seems to be interesting for wide range of application fields, in particular, threats detection in criminal analysis.
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© 2015 Springer International Publishing Switzerland
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Dajda, J., Dobrowolski, G. (2015). Architecture Dedicated to Data Integration. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9011. Springer, Cham. https://doi.org/10.1007/978-3-319-15702-3_18
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DOI: https://doi.org/10.1007/978-3-319-15702-3_18
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