Chapter-2
Database Management Systems
Unit 2 Database
2.1 Concept of Database
2.1.1 Introduction: Data, Information,
Database and DBMS
2.1.2 Objectives of DBMS
2.1.3 Database Model: Relational Model
,Network Model, Hierarchical Model, Entity Relational Data Model
2.1.4 Concept of Normalization
2.1.5 Types of Normalization 1NF, 2NF
2.1.6 Structured Query Language
2.1.7 Centralized Vs. Distributed Database
2.1.8 Data Security.
2.2 Design
Database using DBMS Software
2.2.1
Create a Database
2.2.2 Create Tables and Fields and its
properties
2.2.3 Create a Relational Databases
2.2.4 Create and Run Queries
2.2.5 Working with Forms
2.2.6 Generate Reports
2.3 Project Work on DBMS Software
|
Definition
of Data
Data is the collection of raw (unprocessed) facts and figures without
any added interpretation or analysis about persons,
places and things which can be recorded in the form of words or texts, images,
graphics, numbers, audios, videos, sounds etc.
Data have been collected,
stored, processed and/or manipulated but have not been organized or placed into
context.
For
example:-Name,
Roll, Marks obtained by student etc.
Examples
of Data
- Student
Data on Admission Forms
When students get admission in a college. They fill admission form. This form contains raw facts (data of student) like name, father’s name, address of student etc. - Data
of Citizens
During census, data of all citizens is collected. - Survey
Data
Different companies collect data by survey to know the opinion of people about their product. - Students
Examination data
in examination data about obtained marks of different subjects for all students is collected.
Types of
Data
There
are following main types of Data.
1) NUMERIC DATA
Numeric data consists of 0 to 9 digits, + and – sign and decimal point etc.
For example: 5, 44, 34.55, -45 etc
Numeric data consists of 0 to 9 digits, + and – sign and decimal point etc.
For example: 5, 44, 34.55, -45 etc
2) ALPHABETIC DATA
It consists of all alphabetic
letters A to Z, a to z and blank space etc.
For
example:
Nepal, KIC, SEMI etc.
3) ALPHANUMERIC DATA
It consists of alphabet
letters, digits and special characters like #, $, % etc.
For example: House Number 10-A, 14-August-1947, F-16 etc.
For example: House Number 10-A, 14-August-1947, F-16 etc.
4) GRAPHIC DATA
Graphic data or image data
consists of charts, graphs and images etc.
For
example:
a collection of maps of countries, a collection of family pictures etc.
5) AUDIO DATA
Audio data consists of sounds
and voices.
For
example:
audio songs, radio program, radio news, audio songs etc.
6) VIDEO
DATA
Video data consists of moving
pictures.
For
example:
movie, TV dram, TV news etc.
7) MIXED DATA
Mixed data consists of combined
data of two or more types.
For example: TV drama consists of audio as well as video
data.
Definition of Information
Information is processed data after data processing which gives a
complete sense or proper meaning. Information is useful in
decision-making.
Information
of three students:
Id
|
names
|
address
|
roll
|
1.
|
Ram
|
Dharan
|
5
|
2.
|
Rajesh
|
Biratnagar
|
6
|
3.
|
Riya
|
Kathmandu
|
10
|
Field: - A field is the property or attributes of a table. Simply,
a field is a piece of information about a person or place or thing. In above table Id, Name, Address, Roll is known as fields.
Record: - A collection of interrelated fields is called a
record. It is also known as tuple. A tuple is one record (one row). For example
above table contains 3 records and each record has 4 related fields namely id,
name address, roll.
Tables:
-A
database table is composed of records and fields that hold data. It organizes
the data in the rows and columns form.
Where, a row defines a record and a column defines a field.
Where, a row defines a record and a column defines a field.
File:- File is the collection of all related records.
Examples
of Information
- Student
Address Labels
stored data of students can be used to print address labels of students. - Census
Report (Total population, Literacy Rate, Male / Female ratio etc.)
Census data is used to get report/information about total population of a country and literacy rate etc. - Survey
Reports and Results
Survey data is summarized into reports/information to present to management of the company. - Result Cards of Individual Students,
Result sheets of a particular Class
In examination system collected data (obtained marks in each subject) is processed to get total obtained marks of a student. Total obtained marks are Information. It is also used to prepare result card of a student. - Merit
List
after collecting admission forms from candidates, merit is calculated on the basis of obtained marks of each candidate. Normally, percentage of marks obtained is calculated for each candidate. Now all the candidates’ names are arranged in descending order by percentage. This makes a merit list. Merit list is used to decide whether a candidate will get admission in the college or not.
Compare between Data and Information
DATA
|
INFORMATION
|
Data
is collection of raw facts and figures.
|
Information
is processed data.
|
Data
is unarranged and unorganized.
|
Information
is arranged and organized.
|
Data
is meaningless.
|
Information
is meaningful.
|
Data
is input.
|
Information
is output.
|
Data
is used less frequently.
|
Information
is used frequently.
|
Data
represents facts before processing.
|
Information
represents results (obtained after processing).
|
Data
is not helpful in decision-making.
|
Information
is helpful in decision-making.
|
Data
is raw material for information.
|
Information
is the final product of data.
|
Data
are unprocessed records
|
Information
contains processed records
|
Data
is in large amounts
|
Information
is in small amounts
|
If
data is lost, it is very difficult (or even impossible in some situations) to
re collect.
|
If
information is lost, it is easily derived from stored data, again.
|
Data
is the asset of an organization and is not available for sale to public.
|
Normally,
information is available for sale to general public.
|
Data
depends upon the sources for collecting data, the collection methods adopted
and the people who will collect data.
|
Information
depends upon data.
|
Definition of Database
A database is an organized collection of interrelated information that
can be used for multiple purposes as desired. Database
is actually a place where related piece of information is stored and various
operations can be performed on it.
An example of a database is a dictionary, where words are arranged alphabetically,
and a telephone directory where subscriber names are listed in an alphabetic
order, result sheet, salary sheet, attendance etc.
Objectives
of database
v Organized data storage.
v Convenient retrieve of selected data.
v Presented selected data in a convenient format.
v Safety and security of data.
v Integrity sharing and availability of data.
Labels: DBMS
0 Comments:
Post a Comment
thank you
Subscribe to Post Comments [Atom]
<< Home