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List any two significant differences between a file processing system and a DBMS. File Processing System vs. DBMS
Data Independence - Data independence is the capacity to modify the schema at one stage of a database system without having to modify the schema at the further level. In file processing systems the data and applications are commonly interdependent, but DBMS gives the feature of data independence.
Data Redundancy - Data redundancy means needless duplication of data. In file processing systems there is redundancy of data, but in DBMS we can decrease data redundancy through means of normalization procedure without affecting the original data. If we do so in file processing system, it becomes too complex.
Consider the entity type dependent related to employee entity, which is used to keep track of the dependents of every employee. The attributes of dependents are: name, sex, birth d
What is it ?
Saving Derived Attributes to Avoid Re-computation As discussed, "redundancy means duplication of exact data". But, if multiple copies of same data are present in the system,
Question: In relation to distributed database answer the following questions: (i) Give a brief definition of distributed database. Support your answer with an appropriate di
What are the DBMS languages? Briefly explain? Data Definition language (DDL):A database schema is specified through a set of definitions expressed through a special language
Problem : (b) A deductive database system is essentially the outcome of applying mathematics logic to database management, where logic is used for both data representation and
Explain the θ-join and equijoin Refer tables Car and Boat which list models of cars and boats and their relevant prices. Assume a customer wants to buy a car and a boat, but sh
Representing complex relationship among data A database may contain varieties of data interrelated to each other in numerous ways. A DBMS must have the capability to represent
Compare three clustering algorithms in Weka. For this comparison, you will need to use at least two different datasets. Run the algorithms on the datasets, and use the visual
Relations create the database. They must satisfy various properties, like no duplicate tuples, no ordering of tuples, and atomic attributes, etc. Relations that satisfy these basic
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