By Elzbieta Malinowski
This unparalleled paintings offers readers with an creation to the state of the art learn on info warehouse layout, with many references to extra precise resources. It deals a transparent and a concise presentation of the foremost recommendations and leads to the topic region. Malinowski and Zimányi clarify traditional facts warehouse layout intimately, and also tackle cutting edge domain names lately brought to increase the functions of information warehouse structures: specifically, the administration of spatial and temporal information.
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Additional info for Advanced data warehouse design : from conventional to spatial and temporal applications
In order to deﬁne the third normal form, we must deﬁne one additional concept: • A dependency X → Z is transitive if there is a set of attributes Y such that the dependencies X → Y and Y → Z hold. Now we can give the deﬁnition of the third normal form: A relation is in the third normal form if it is in the second normal form and there are no transitive dependencies between a key and a nonprime attribute. The table Assistant above is not in the third normal form, since there is a transitive dependency from Employee no to Advisor id, and from Advisor id to Advisor ﬁrst name, Advisor last name, and Advisor email.
5 is an additive measure: it can be summarized when the hierarchies in the Store, Time, and Product dimensions are traversed. • Semiadditive measures (also called stock or level measures) can be meaningfully summarized using addition along some, but not all, dimensions. A typical example is that of inventory quantities. These can be aggregated in the Store dimension in Fig. 6 The Multidimensional Model 47 or a city, but cannot be aggregated in the Time dimension, for instance by adding the inventory quantities for two diﬀerent quarters.
When a multiplecolumn index is created, the order of columns in the index has an impact on data retrieval. Generally, the most restrictive value should be placed ﬁrst for optimum performance. Another categorization of indexes is according to whether they are unique or nonunique: unique indexes do not allow duplicate values, while this is not the case for nonunique indexes. In addition, an index can be sparse or dense: a sparse index has index records for only some of the search values in the ﬁle, while a dense index has an index record for every search value in the ﬁle.
Advanced data warehouse design : from conventional to spatial and temporal applications by Elzbieta Malinowski