March 29, 2017

Download Advanced data warehouse design : from conventional to by Elzbieta Malinowski PDF

By Elzbieta Malinowski

This unparalleled paintings offers readers with an advent to the state of the art learn on information warehouse layout, with many references to extra distinctive resources. It deals a transparent and a concise presentation of the key suggestions and ends up in the topic sector. Malinowski and Zimányi clarify traditional information warehouse layout intimately, and also deal with cutting edge domain names lately brought to increase the features of knowledge warehouse platforms: specifically, the administration of spatial and temporal information.

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They are composed of only one attribute, although it is common to have identifiers composed of two or more attributes. Entity types that do not have an identifier of their own are called weak entity types. In contrast, regular entity types that do have an identifier are called strong entity types. In Fig. 1, Section is a weak entity type, as shown by the double line of its name box; all other entity types in the figure are strong entity types. A weak entity type is dependent on the existence of another entity type, called the identifying or owner entity type.

22 2 Introduction to Databases and Data Warehouses value for this attribute, different from those for all other projects. , they are composed of only one attribute, although it is common to have identifiers composed of two or more attributes. Entity types that do not have an identifier of their own are called weak entity types. In contrast, regular entity types that do have an identifier are called strong entity types. In Fig. 1, Section is a weak entity type, as shown by the double line of its name box; all other entity types in the figure are strong entity types.

The array and multiset types can thus be used for storing multivalued attributes. Multisets have no declared maximum cardinality, unlike arrays, which have a user-specified or implementation-defined maximum cardinality. The composite types can be combined, allowing nested collections, although this is considered as an “advanced feature” in the standard. SQL:2003 supports two sorts of user-defined types. , one cannot test whether the name and the social security number of an employee are equal, even if they are both represented by the same type).

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