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The Data Warehouse design involves the definition of structures that enable an efficient access to information. The designer builds a multidimensional structure taking into account the users requirements. In fact, it is a highly complex engineering task that calls for a methodological support. This paper lays the grounds for an automatic, stepwise approach for the generation of data warehouse and data mart schemes. For this, it first proposes a standard format for OLAP requirement acquisition. Secondly, it defines an algorithm that transforms automatically the OLAP requirements into data marts modelled either as star or constellation schemes. Thirdly, it overviews our mapping rules between the data sources and the data marts schemes.
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Stored only when both papers are in the corpus — 17 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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