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What is Normalization?
Database normalization is a data design and organization method applied to data structures based on rules that help building relational databases. In relational database design, the method of organizing data to minimize redundancy is known as normalization. Normalization usually includes dividing a database into two or more tables and defining relationships among the tables. The objective is to isolate data so that additions, deletions, and modifications of a field can be made in just one table and then propagated by the rest of the database via the explained relationships.
To delete a particular column in a relation which command is used ? To delete a particular column in a relation ALTER command is used.
What is Data dictionary? A data dictionary is a reserved space in a database that is employed to store information about the database itself. A data dictionary may consist o
let us consider a table having 2200 records and the fixed size of the table to be considered as 25.then how many numbers of table is requredto perform horizontal fragmentation
Explain trivial dependency? Functional dependency of the form α ->β. is trivial if α C β. Trivial functional dependencies are satisfied by all the relations.
Aggregation Aggregation is stronger form of association. It represents the "has-a" or "part-of" relationship. An aggregation association depicts a complex object which is comp
Where does view definition stored? A view definition is permanently stored as part of the database.
Data Warehousing & Mining 1. What is the concept of knowledge discovery in database? 2. Describe the following types of Multidimensional Data Models. • Stars, Snowflakes and
Reflects organisational structure: Many organizations are distributed over various locations. If an organisation has many offices in dissimilar cities, databases used in such an ap
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
Benefits: It limits data access. It makes difficult queries look easy. It permits data independence. It presents dissimilar views of the similar data.
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