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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.
Q. Explain the terms key constraints participation constraints and mapping caradinalities in ER model. Participation Constraints : The participation of an entity set E i
Complexity : A distributed DBMS that is available, reliable, and secure is inherently more difficult than a centralised DBMS. Though, adequate data replication is essential to have
Soccer player ER Diagram to Relational database schema
Emergence of Client Server Architecture Some of the pioneering work that was completed by some of the relational database vendors permitted the computing to be distributed on m
how to solve the C type problems?
Consider the ER schema below for the MoneyMaking supermarket chain problem. Translate the given ER schema into SQL CREATE TABLE statement.
Explain the relevance of Data Dictionary in a Database System? Data dictionary is a database in its own right residing on the disk that consist of Meta data which is = Data abo
The Update Operations : Update operations are used for altering database values. The constraint violations faced by this operation are logically the similar as the problem faced
What is the difference between internal tables and extract datasets? The lines of an internal table always have the similar structure. By using extract datasets, you can ha
If the insertion violates one or more constraints, then two alternatives are available: Default option: - Insertion can be discarded and the reason of refusal can also be ex
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