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.
CITATION STYLE
Li, Q., Xu, Z., Chan, I., Yang, S., Pu, Y., Wei, H., & Yu, C. (2019). Big data architecture and reference models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11231 LNCS, pp. 15–24). Springer Verlag. https://doi.org/10.1007/978-3-030-11683-5_2
Mendeley helps you to discover research relevant for your work.