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Differentiate between the object oriented decomposition and the structured decomposition?
Process-oriented (structural) decomposition divides a complex process, function or task into easier subprocesses until they are easy enough to be dealt with. The solutions of these subfunctions then require be integrating and executing in certain sequential or parallel orders in order to obtain the solution to large complex system. On the other hand object-oriented decomposition targets at identifying individual autonomous objects which encapsulate both state and certain behaviour. Each main component of system is called subsystem. Then, communication between these objects leads to desired solutions. Object-oriented decompositions of the systems tend to be better able to cope with modification. Each subsystem has well-defined interfaces that communicate with rest of system.
The insertion of a tuple in the aim of reference does not cause any destruction. Though, insertion of a tuple in the relation in which, we has the foreign key, for instance, in ASS
What are the three types of data sources used with ODBC? An ODBC file data source is a file that can be shared between database users. An ODBC system data source is one that is
About Attribute inheritance
Improved availability: The data in a distributed system may be replicated so that it is at more than one site. Thus, the failure of a node or a communication link does not necessar
multiplicity constarin
Hierarchical
What disadvantage of ODBC does OLE DB overcome? By breaking the features and the methods of a DBMS into COM objects, OLE DB characteristic overcomes a main disadvantage of ODBC
Convert the following ER - diagram (Entity Relationship Diagram) into a relational database (the primary keys are underlined): 2160_Convert the following ER - diagram into a
Partial Key : It is a group of attributes that can uniquely identify small entities and that are related to same base entity. It is sometime named as Discriminator. Altern
Parallelism of transaction execution: A transaction can be divided into various sub-queries that can operate on fragments in parallel. This enhances the degree of concurrency in t
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