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Rdbms xp 03
1.
Normalizing and Denormalizing
Data Objectives In this lesson, you will learn to: Describe data redundancy Describe the first, second, and third normal forms Describe the Boyce-Codd Normal Form (BCNF) Appreciate the need for denormalization ©NIIT RDBMS/Lesson 3/Slide 1 of 16
2.
Normalizing and Denormalizing
Data Understanding Data Redundancy Redundancy means repetition of data Redundancy increases the time involved in updating, adding, and deleting data It also increases the utilization of disk space and hence, disk I/O increases ©NIIT RDBMS/Lesson 3/Slide 2 of 16
3.
Normalizing and Denormalizing
Data Understanding Data Redundancy (Contd.) Redundancy can lead to the following problems: Update anomalies—Inserting, modifying, and deleting data may cause inconsistencies Inconsistencies—Errors are more likely to occur when facts are repeated Unnecessary utilization of extra disk space ©NIIT RDBMS/Lesson 3/Slide 3 of 16
4.
Normalizing and Denormalizing
Data Definition of Normalization Normalization is a scientific method of breaking down complex table structures into simple table structures by using certain rules It allows you to reduce redundancy in a table and eliminate the problems of inconsistency and disk space usage Normalization results in the formation of tables that satisfy certain specified rules and represent certain normal forms ©NIIT RDBMS/Lesson 3/Slide 4 of 16
5.
Normalizing and Denormalizing
Data Normal Forms The most important and widely used normal forms are: First Normal Form (1 NF) Second Normal Form (2 NF) Third Normal Form (3 NF) Boyce Codd Normal Form (BCNF) ©NIIT RDBMS/Lesson 3/Slide 5 of 16
6.
Normalizing and Denormalizing
Data First Normal Form A table is said to be in the 1 NF when each cell of the table contains precisely one value Functional Dependency The normalization theory is based on the fundamental notion of functional dependency Given a relation R, attribute A is functionally dependent on attribute B if each value of A in R is associated with precisely one value of B ©NIIT RDBMS/Lesson 3/Slide 6 of 16
7.
Normalizing and Denormalizing
Data Second Normal Form (2NF) A table is said to be in 2 NF when it is in 1 NF and every attribute in the row is functionally dependent upon the whole key, and not just part of the key To ensure that a table is in 2 NF, you should: Find and remove attributes that are functionally dependent on only a part of the key and not on the whole key and place them in a different table Group the remaining attributes ©NIIT RDBMS/Lesson 3/Slide 7 of 16
8.
Normalizing and Denormalizing
Data Third Normal Form (3NF) A relation is said to be in 3 NF when it is in 2 NF and every non-key attribute is functionally dependent only on the primary key To ensure that a table is in 3 NF, you should: Find and remove non-key attributes that are functionally dependent on attributes that are not the primary key and place them in a different table Group the remaining attributes ©NIIT RDBMS/Lesson 3/Slide 8 of 16
9.
Normalizing and Denormalizing
Data Boyce-Codd Normal Form The original definition of 3NF was inadequate in some situations It was not satisfactory for the tables: that had multiple candidate keys where the multiple candidate keys were composite where the multiple candidate keys overlapped Therefore, a new normal form—the Boyce-Codd Normal Form (BCNF) was introduced A relation is in the Boyce-Codd normal form (BCNF) if and only if every determinant is a candidate key ©NIIT RDBMS/Lesson 3/Slide 9 of 16
10.
Normalizing and Denormalizing
Data Boyce-Codd Normal Form (Contd.) In order to ensure that a table is in BCNF, you should: Find and remove the overlapping candidate keys Place the part of the candidate key and the attribute it is functionally dependent on, in a different table Group the remaining items into a table ©NIIT RDBMS/Lesson 3/Slide 10 of 16
11.
Normalizing and Denormalizing
Data Just a Minute... You have received a proposed table structure for the table Position. After testing the table structure with some data, you find that there is a problem in inserting, deleting, and modifying data. You will notice that the table structure could lead to inconsistency in data and will also occupy a lot of disk space. Modify the table structure to optimize data storage. ©NIIT RDBMS/Lesson 3/Slide 11 of 16
12.
Normalizing and Denormalizing
Data Understanding Denormalization The end product of normalization is a set of related tables that comprise the database However, in the interests of speed of response to critical queries, which demand information from more than one table, it is sometimes wiser to introduce a degree of redundancy in tables The intentional introduction of redundancy in a table to improve performance is called denormalization ©NIIT RDBMS/Lesson 3/Slide 12 of 16
13.
Normalizing and Denormalizing
Data Just a Minute… In the reporting system, the total amount paid to a contract recruiter is often required. The required result can be calculated using the two tables - ContractRecruiter and Payment. Since the size of the Payment table is large, the join between the two tables takes time to generate the required output. It is, therefore, necessary to improve the performance of this query. ©NIIT RDBMS/Lesson 3/Slide 13 of 16
14.
Normalizing and Denormalizing
Data Just a Minute… Each time the salary slip for an employee is generated, the referral bonus (if present) has to be calculated and printed in the salary slip. The following three tables are used for this query- MonthlySalary, Employee, and EmployeeReferrals. However, since the table structures are large, it is necessary to improve the performance of this query by modifying the table structures. ©NIIT RDBMS/Lesson 3/Slide 14 of 16
15.
Normalizing and Denormalizing
Data Summary In this lesson, you learned that: Normalization is used to simplify table structures. Normalization results in the formation of tables that satisfy certain specified constraints, and represent certain normal forms. The normal forms are used to ensure that various types of anomalies and inconsistencies are not introduced in the database. A table structure is always in a certain normal form. Several normal forms have been identified. ©NIIT RDBMS/Lesson 3/Slide 15 of 16
16.
Normalizing and Denormalizing
Data Summary (Contd.) The most important and widely used of these are: First Normal Form (1NF) Second Normal Form (2 NF) Third Normal Form (3 NF) Boyce Codd Normal Form (BCNF) The intentional introduction of redundancy in a table in order to improve performance is called denormalization. The decision to denormalize results in a trade-off between performance and data integrity. Denormalization increases disk space utilization. ©NIIT RDBMS/Lesson 3/Slide 16 of 16
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