To understand normalization in database with example tables, let’s assume that we are supposed to store the details of courses and instructors. Lets consider the database extract shown above. This depicts a special dieting clinic where the each patient has 4 appointments. On the first they are weighed. Insertion, Updation and Deletion Anamolies are very frequent if database is not normalized. To understand these anomalies let us take an example of a Student .

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Dwayne Hicks December 5, The video below will give you a good overview of Database Normalization.

Redundancy can lead to various anomalies when you modify your data. A superkey is basically a set of columns such that the value of that set of columns is unique across exmple rows.

Gene Jacket December 4, 7: Also, if we have to insert data of students of same branch, then the branch information will be repeated for all those students. Hence, we require both Exampple Name and Address to identify a record uniquely.

What is Normalization? 1NF, 2NF, 3NF & BCNF with Examples

So, the first superkey Course code is a candidate key. This also saves storage. Fact tables are completely normalized because the redundant information is maintained in the dimensions table.


Normalization helps produce database systems that are cost-effective and have better security models.

Normalization of Database

Hackr Team December 25, 3: Similarly, each course may have multiple enrollments. This table satisfies the 1st Normal form because all the values are atomic, column names are unique and all the values stored in a particular column are of same domain. Ann Neal December 5, Our website uses cookies. At first, this design seems to be good. What if someone just edited the mobile number against CS, but forgot to edit it for CS?

Example Given the following relation: Annie Martinez December 4, Granularity can be easily understood by the term of detail in normalixation set of data. Basically, no 2 rows have the same primary keys. To understand these anomalies let us take an example of a Student table.

Boyce-Codd Normal Form (BCNF)

Example of data granularity is how a name field is subdivided if it is contained in a single field or subdivided into its constituents such as first name, middle name and last name. Normzlization, the Data Warehouse is the system which pulls data together from multiple sources within an organization for analysis and reporting. Basically, we store the instructors separately and in the course table, bbcnf do not store the entire data of the instructor. Here, in this table, the course code is unique.

For example, if you have an employee dimension and the employee belongs to a particular department.


Why do you need all of this normalization stuff? Student name Enrolment number Rahul 1 Rajat 2 Raman 3 Here the second column is unique and it indicates the enrollment number for the student.

Foreign Key references the primary key of another Table! Then in star schema, you will only have the employee table and repeat the department data for each employee. The first point is obviously straightforward since we just studied 1NF. What is the difference between database and data warehouse? It is a trivial functional dependency: Database Normalization Examples – Assume a video library maintains a database of movies rented out. mormalization

Mary Brown December 4, This form deals with certain type of anomaly that is not handled by 3NF. In the table above, we have data of 4 Computer Sci. In the table above: The example data look like this.

Data integrity may not retain in the denormalization and redundancy added into this. Fact tables are the primary table in a dimension model which contains- facts, metrics, and measurements about a business process. And now, this relation satisfy Boyce-Codd Normal Form.