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The Star Schema is a violation of basic normalization rules.
As illustrated in Fig. 2, our approach of multidimensional star schema analysis proceeds by transforming the graphical star schema into Prolog predicates.
It is modeled as shown in Figure 1. Figure 1 Star schema of the data warehouse.
It also ensures the traceability between the Prolog predicates and the analyzed star schema.
Open image in new window Fig. 1 Example of multidimensional star schema: car rental fact.
Table 1 summarizes the transformation rules of the star schema concepts into Prolog.
This paper presents an approach for the validation of multidimensional star schema assisted by repair solutions.
We then show that the third type cannot be handled through the temporal star schema for temporal data warehouses (TDWs).
We further show that a hybrid/Type6 scheme and temporal star schema may be used to handle this shortcoming.
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In tranSMART, phenotypic data are stored using the i2b2 data model consisting of an entity attribute value pair-derived star-schema [ 18]; G-DOC and iCOD use their own database format.
The i2b2 data model consists of an Entity Attribute Value Pair (EAVP) derived star-schema, which allows data from sources that have different underlying data models to be transformed and imported into the i2b2 repository (i.e. Clinical Research Chart).
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