The document discusses database normalization and provides examples of normalizing tables to first, second, and third normal forms. It also provides sample SQL queries to create and manipulate tables, such as creating a Customers table, selecting data from tables based on conditions, inserting data into an Orders table, updating the Orders table by adding a column, and joining tables. Students are assigned to complete the tasks of implementing the examples and SQL queries by the given deadline.

1. Sample
DB Normalization and SQL query
Normalization-
1. Normalize the given table to its first normal form-
Order_id Order_Item Total Cus_id
1 Pizza, Clemon 1 1
2 Fried chicken, Burger 3 2
3 Burger 2 1
Solution:
In First Normal Form, any row must not have a column in which more than one value is saved,
like separated with commas. Rather than that, we must separate such data into multiple rows.
So, the given table would be changed into its first normal form as below:
Order_id Order_Item Total Cus_id
1 Pizza 1 1
1 Clemon 1 1
2 Fried chicken, Burger 3 2
3 Burger 2 1
2. Normalize the given table to its first and second normal form-
Id TransactionNo FirstCompany SecondCompany TransAmount TransDate
1 AB01109876 ABC Corp. Iqra
Multipurpose
Society
CSC 433 – Shakila Mahjabin Tonni, Faculty, Dept of CSE
1,00,000 01/10/2012
2 JQ11118044 Sagupta
Fashion
ABC Corp. 15,00,000 11/11/2013
3 AC10122043 Sagupta
Fashoin
Iqra
Multipurpose
Society
15,00,000 10/12/2012
4 DA02033021 ABC Corp. Sagupta Fashion 2,00,000 02/03/2013
Solution:
As per the first normal form’s definition, in a single row, no two column values should be
repeated/duplicate. It is true for each row of the given table, so it is in its First normal Form.

2. By definition, to transform a table into its second normal form, we have to remove subsets of
data that apply to multiple rows (multiple rows have same data for a column) of a table and
place them in separate tables.
Here, the company names are repeating in both FirstCompany (example, ABC Corp. came twice)
and SecondCompany (Iqra Multipurpose Society came twice) columns.
We can create a totally new table named Company for these names. So, after transforming the
table in its 2NF form, we get:
Table:Company
Id CompanyName
1 ABC Corp.
2 Sagupta Fashion
3 Iqra Multipurpose Society
Id TransactionNo FirstCompanyID SecondCompanyID TransAmount TransDate
1 AB01109876 1 3 1,00,000 01/10/2012
2 JQ11118044 2 1 15,00,000 11/11/2013
3 AC10122043 2 3 15,00,000 10/12/2012
4 DA02033021 1 2 2,00,000 02/03/2013
3. Normalize the given data into 1NF, 2NF and 3NF-Memb
er_Id
Member_
name
Member_p
osition
Member_
access
CSC 433 – Shakila Mahjabin Tonni, Faculty, Dept of CSE
Member_a
ddress
Member_cont
act
Member_expi
re_date
14012 Sadiqul
Islam
General Loan House 56,
Gulshan 2,
Dhaka
01912098234,
8743930
Feb, 2017
14009 Naurin
Alam
Board of
Trustee
Company
Share
House 42,
Niketon,
Dhaka
01729978783,
8797268
June, 2020
12134 Atiquzza
man
Governing
Body
Company
Share,
Managem
ent
House 214,
Niketon,
Dhaka
01819878375,
8524632
Jan, 2015
11067 Kamrunn
ahar
General Loan House
04,DOHS,
Dhaka
01718093014,
7210784
Dec, 2014
Solution:
In first normal form, no column values should contain two values (as in Member_contact
column) separated by comma. So, in 1NF:

3. Membe
r_Id
Member_
name
Member_p
osition
Member_a
ccess
CSC 433 – Shakila Mahjabin Tonni, Faculty, Dept of CSE
Member_a
ddress
Member_c
ontact
Member_expir
e_date
14012 Sadiqul
Islam
General Loan House 56,
Gulshan 2,
Dhaka
019120982
34
Feb, 2017
14012 Sadiqul
Islam
General Loan House 56,
Gulshan 2,
Dhaka
8743930 Feb, 2017
14009 Naurin
Alam
Board of
Trustee
Company
Share
House 42,
Niketon,
Dhaka
017299787
83
June, 2020
14009 Naurin
Alam
Board of
Trustee
Company
Share
House 42,
Niketon,
Dhaka
8797268 June, 2020
12134 Atiquzzam
an
Governing
Body
Company
Share,
Managem
ent
House 214,
Niketon,
Dhaka
018198783
75
Jan, 2015
12134 Atiquzzam
an
Governing
Body
Company
Share,
Managem
ent
House 214,
Niketon,
Dhaka
8524632 Jan, 2015
11067 Kamrunna
har
General Loan House
04,DOHS,
Dhaka
017180930
14
Dec, 2014
11067 Kamrunna
har
General Loan House
04,DOHS,
Dhaka
7210784 Dec, 2014
But in this format, in Member_Id column, column values are repeating. We can’t take this
column as a primary key anymore. Also, in Member_Address has repeating part. So, to convert
into its second normal form we will create a new table from the above table named
MemberContactDetails:
Table: MemberContactDetails
Id Member_contact_1 Member_contact_2 House_No AreaID
1 01912098234 8743930 56
2 01729978783 8797268 42
3 01819878375 8524632 214
4 01718093014 7210784 04
Table: Area
Id Area
1 Gulshan 2, Dhaka
2 DOHS, Dhaka

4. 3 Niketon, Dhaka
Write necessary SQL queries to-
1. Create a table Customers with the following data- (Set Id as the primary key)
Id Cus_Name Age Cus_Address Cus_Mobile Cus_Email
1 Afroza 18 Uttara, Dhaka 01719991112 afroza@hotmail.com
2 Redwan 20 Narsingdi,
Dhaka
CSC 433 – Shakila Mahjabin Tonni, Faculty, Dept of CSE
01616889223 ripon@gmail.com
3 Samsuzzaman 25 Kakrail, Dhaka 01718071083 sahmed@yahoo.com
2. Show customers name and address from the above table.
3. Show customer name from above table where name starts with ‘A’.
4. Show customer name and age for the customers who are more than 18 years old.
5. Create a table order and insert the following data- (Ser Order_id as the primary key)
Order_id Order_Item Total Cus_id
1 Pizza 1 1
2 Clemon 5 1
3 Fried chicken 3 2
4 Burger 2 1
6. Delete rows from the above table where Cus_id is 1.
7. Add a new column named Price in the above table.
8. Show the order_items and total from the above table and change the column names as Items
and Total No.
9. Show the order_item and total where total is between 1 and 4.
10. Show the order_items and total for customer whose cus_id is 2.
>> Complete the above tasks and submit as assignment in group via
email within 07.11.14
>> After 07.11.14, I’ll provide its solution to you.

5. Good Luck
CSC 433 – Shakila Mahjabin Tonni, Faculty, Dept of CSE