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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.
It can be easily defined as: The database must not have any unmatched foreign key values. The term "unmatched foreign key value" means a foreign key value for which there doe
WHERE and HAVING clause in SQL ? The WHERE clause is commonly used for implementing conditions on each tuple of the relation. The HAVING clause is used in combination along wi
The First Normal Form (1NF) Let us first describe 1NF: Definition: A relation (table) is in 1NF if 1. There are no duplicate tuples or rows in the relation. 2.
Describe analysis of access paths To describe analysis of access paths, consider an example of the design of a company's employee skills database. A part of the object model fr
multidimensional data model
You group has been hired by TrainingrUs.com to keeps track of training revenues. TrainingrUS.com wants you to keep scheduling. COURSE table contains following information:
what problems are raised by the database? why is it so controversial? why is data quality an issue?
Describe entity referential integrity and integrity. Give an example of each. Entity Integrity Rule - If there is a attribute A of relation R is a prime attribute of R then A
The Locking Protocol: To manage concurrency related problems we use locking. A lock is mainly a variable that is associated with a data item in the database. A lock can be located
Write the syntax of creating an INDEX ? Syntax of Creating an Index: CREATE [BITMAP] [UNIQUE] INDEX ON ( [, ] . . .);
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