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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CITATION STYLE
Dajda, J., & Dobrowolski, G. (2015). Architecture dedicated to data integration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9011, pp. 179–188). Springer Verlag. https://doi.org/10.1007/978-3-319-15702-3_18
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