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Probelm:
a) In the context of OODBMS, define the following terms with appropriate examples.
(i) Object class. (ii) Abstract class. (iii) Aggregation. (iv) Overriding.
b) Parallelism deals with the issue of processing two or more activities in parallel.
(i) Flynn's taxonomy uses the relationship of program instructions to program data. Explain briefly on any one category of the Flynn's classification. Support your answer with appropriate diagram.
(ii) Distinguish between multiprocessing systems and multiprogramming systems. Support your answer with appropriate diagram.
(iii) Explain briefly any two needs of parallel database.
(iv) Briefly explain three advantages of parallel database.
Advantages of Observation Methods: Bailey has pointed out four advantages of observation: 1. Superior in Data Collection on Non Verbal Behavior: When a person a opi
Explain the differences between structured data and unstructured data. Structured data are facts concerning objects and events. The most significant structured data are numeric
What is a Built-in A notation of identity is built-into the data model or programming language and no user-supplied identifier is needed. This form of identity is used in objec
What is the archtetype/instance pattern? The archetype/instance pattern happens when one entity tracks occurrences of another entity. A common example is the relationship among
Change the city of First Bank Corporation to ‘New Delhi' UPDATE COMPANY SET CITY = ‘New Delhi' WHERE COMPANY_NAME = ‘First Bank Corporation';
Which data type can store unstructured data? Raw data type can store unstructured data.
The database files accept the actual data and are typically the biggest in size. Depending on their shape, the tables for all the user operation can go in one database file-but
What is a Transaction? A transaction is an event which happens on the database. Generally a transaction reads a value from the database or writes a value to the database. If y
What are the two types of indices? The two types of indices are:- A) Dense index B) Sparse index
why are older data models are being replaced by new data models
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