Abstract
The emergence of big data provides opportunities for both academic and industrial area and changes the way people solve complex problems and evaluate the value of data. However, there is a lack of studies on architecture frameworks and modelling methods in the context of big data, which is the key to support the analysis, design, implementation and evaluation phases of big data applications. The paper proposes a Big Data Architecture (BDA) to support the top-level design of enterprise information integration applications in big data environments. Moreover, reference models of performance, business, application, data, infrastructure and security views are discussed.
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This work is sponsored by the National Natural Science Foundation of China, No. 61174168 and 61771281, the 2018 Industrial Internet innovation and development project.
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Li, Q. et al. (2019). Big Data Architecture and Reference Models. In: Debruyne, C., Panetto, H., Guédria, W., Bollen, P., Ciuciu, I., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2018 Workshops. OTM 2018. Lecture Notes in Computer Science(), vol 11231. Springer, Cham. https://doi.org/10.1007/978-3-030-11683-5_2
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DOI: https://doi.org/10.1007/978-3-030-11683-5_2
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