By Stanley B. Zdonik (auth.), Asuman Dogac, M. Tamer Özsu, Alexandros Biliris, Timos Sellis (eds.)
Object-oriented database administration structures (OODBMSs) have generated major pleasure within the database neighborhood within the final decade. This curiosity stems from a true want for information administration aid for what are referred to as "advanced software components" that aren't well-served through relational know-how. The case for object-oriented know-how has been made on 3 fronts. First is the knowledge modeling requisites of the recent purposes. a number of the extra very important shortcomings of the relational structures in assembly the necessities of those purposes comprise: 1. Relational structures care for a unmarried item sort: a relation. A relation is used to version various real-world items, however the semantics of this organization isn't really a part of the database. additionally, the attributes of a relation may perhaps come in simple terms from uncomplicated and glued facts kind domain names (numeric, personality, and, occasionally, date types). complicated functions require specific garage and manipulation of extra summary varieties (e.g., photographs, layout records) and the facility for the clients to outline their very own application-specific forms. as a result, a wealthy variety process aiding consumer outlined summary forms is needed. 2. The relational version constructions information in a comparatively basic and flat demeanour. Non conventional functions require extra advanced item constructions with nested gadgets (e.g., a motor vehicle item containing an engine object).
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Additional info for Advances in Object-Oriented Database Systems
11 Summary OODBMSs have been designed to meet some of the data handling needs of new, complex applications like those found in design environments. The data modeling facilities of these systems resemble on the surface many of the features found in object-oriented programming languages. It is important to note that these language features have to be embedded in a system that includes databases features like persistence, concurrency control, recovery, consistency management, and a query language.
The structural part of a data model determines what kind of individual data items can be used in the description of database schemata, and how data can be organized into structures to model entities and their associations. g. numbers like "7" or texts like "Kusadasi"; they will be used to represent individual properties of real world entities or associations. In a database schema, we have to specify a value set for each such property, and the data model tells us which value sets are at all available for this purpose.
Since a data model is thought to describe entity and association types, the definition of individual value sets is only a means for the specification of structure types and does not make sense in its own right. Every data model thus has a notion of "independently definable unit" that determines which kinds of "first class" elements a corresponding database may contain. Note that (simple and composite) values are principally immutable; any "modification" will result in a new value. ) information about the same miniworld entities, data models (among other measures; see below) allow to associate names to (some) elements; a name may then refer to different values over time.
Advances in Object-Oriented Database Systems by Stanley B. Zdonik (auth.), Asuman Dogac, M. Tamer Özsu, Alexandros Biliris, Timos Sellis (eds.)
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