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Breaking into Subsystems
Decomposition is a significant technique for coping with complexity based on idea of divide and conquers. In dividing a problem into sub problems, the problem becomes less complex and easier to overlook and to deal with. Frequently dividing a problem will lead to sub problems which are small enough so that they can be conquered. After all sub problems have been conquered and solutions to that problem have been found, solutions need to be combine in order to obtain the solution of whole problem. The history of computing has seen two forms of decomposition: object-oriented and process-oriented decomposition.
Aggregate functions Some of these functions are min, count, max, and avg. These functions help in getting consolidated information from a set of tuples. Example:
Give the reasons for allowing concurrency? The reasons for allowing concurrency is if the transactions run serially, a short transaction might have to wait for a preceding long
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a need some real life examples of database management systems three level of ANSI SPARC architecture life teacher and student ,company and employee or for NGO etc.
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draw ER diagram of student entity and course entity where attribute of student entity are student roll, student name, student phone and student address and attribute of course enti
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