An end-to-end model-based approach to support big data analytics development

Journal of Computer Languages(2020)

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摘要
We present BiDaML 2.0, an integrated suite of visual languages and supporting tool to help multidisciplinary teams with the design of big data analytics solutions. BiDaML tool support provides a platform for efficiently producing BiDaML diagrams and facilitating their design, creation, report and code generation. We evaluated BiDaML using two types of evaluations, a theoretical analysis using the “physics of notations”, and an empirical study with 1) a group of 12 target end-users and 2) five individual end-users. Participants mostly agreed that BiDaML was straightforward to understand/learn, and prefer BiDaML for supporting complex data analytics solution modeling than other modeling languages.
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关键词
Big data analytics,Big data modeling,Big data toolkits,Domain-specific visual languages,Multidisciplinary teams,End-user tools
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