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- W2949076265 abstract "With the rise of big data, business intelligence had to find solutions for managing even greater data volumes and variety than in data warehouses, which proved ill-adapted. Data lakes answer these needs from a storage point of view, but require managing adequate metadata to guarantee an efficient access to data. Starting from a multidimensional metadata model designed for an industrial heritage data lake presenting a lack of schema evolutivity, we propose in this paper to use ensemble modeling, and more precisely a data vault, to address this issue. To illustrate the feasibility of this approach, we instantiate our metadata conceptual model into relational and document-oriented logical and physical models, respectively. We also compare the physical models in terms of metadata storage and query response time." @default.
- W2949076265 created "2019-06-27" @default.
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- W2949076265 date "2018-06-18" @default.
- W2949076265 modified "2023-09-26" @default.
- W2949076265 title "Modeling Data Lake Metadata with a Data Vault" @default.
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