New PDF release: Advanced data warehouse design : from conventional to

By Elzbieta Malinowski

ISBN-10: 3540744045

ISBN-13: 9783540744047

ISBN-10: 3540744053

ISBN-13: 9783540744054

This remarkable paintings offers readers with an creation to the cutting-edge study on info warehouse layout, with many references to extra specific resources. It bargains a transparent and a concise presentation of the most important recommendations and leads to the topic region. Malinowski and Zimányi clarify traditional information warehouse layout intimately, and also handle leading edge domain names lately brought to increase the functions of knowledge warehouse structures: particularly, the administration of spatial and temporal information.

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In Fig. 2, only the attributes marked with a cardinality (0,1) allow null values. , it is not allowed that two different tuples of the relation have identical values in such columns. In Fig. 2, keys are underlined. A key composed of several attributes is called a composite key, otherwise it is a simple key. In Fig. 2, the table Academic staff has a simple key, Employee no, while the table Prerequisite has a composite key, composed of Course id and Has prereq. 3 Logical Database Design 25 the relational model each relation must have a primary key and may have other alternative keys.

Additive measures (also called flow or rate measures) can be meaningfully summarized using addition along all dimensions. These are the most common type of measures. For example, the measure amount associated with the cube in Fig. 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.

For this purpose, SQL:2003 provides a special ref type whose values are those unique identifiers. A ref type is always associated with a specified structured type. g. [58, 60, 84, 186]). We now describe one of them, which consists in using typed tables. For this, a two-step process is needed: define the structured types, and then define the corresponding table. We define below the basic rules of this transformation. Rule 1: A strong entity type is associated with a structured type containing all its attributes.

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Advanced data warehouse design : from conventional to spatial and temporal applications by Elzbieta Malinowski


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