The document contains questions and answers about database management systems (DBMS) basics, including definitions of terms like structured vs unstructured data, data vs metadata, and examples of case studies of database designs for a departmental store and school. Several tables with attributes are provided as examples of database designs to store information about employees, offices, customers, orders, payments, departments, subjects, and student attendance and grades.
1. UNIVERSITY OF GUJRAT LAHORE CAMPUS
UNIVERSITY OF GUJRAT LAHORE CAMPUS
A W O R L D C L A S S U N I V E R S I T Y
Assignment No: 01
Submitted To: Sir Haroon
Submitted By: Sayyed Ans Ali
Date: 05-03-18
Topic Name: Basics of DBMS
Roll No: 16181519-050
Section: (A)
UNIVERSITY OF GUJRAT
LAHORE CAMPUS
H-8 Main Canal Bank Near Tajbagh Bridge Harbanspura
Lahore. Ph: 042-99239145-7 Fax: 042-36551963
www.uoglahore.edu.pk
2. QUESTION #01
Data Dependence Data Independence
1)A data dependency in ‘CS’ is
a situation in which a
program instruction refers
to the data of previous
instruction.
1)Independence means the
data is independent and there
is no changes occurs in
application program due to
change in data.
2) Data dependence means the
data is depends upon
application program. when we
make changes in data also
changes occurs in application
program in which we use Data.
3) The logical data
independence
Is the ability to modify logical
table without making change
in application program.
Structured Data Un-Structured data
• It is stored in organized
way.
• It is stored in un-organized
in predefined manner.
• Structured data is stored
inside of a data warehouse
where it can be pulled for
analysis.
• Unstructured data is more
like human language. It
doesn’t fit nicely into
relational databases like
sql, and searching it
based on the old
algorithms ranges from
difficult to completely
impossible.
• Structured data is both
highly-organized and easy
to digest.
• Unstructured data cannot
simply be recorded in an
Excel spreadsheet or data
table, and requires more
3. specialized skills and tools
to work with it.
Data Information
Facts and figures is called
data.
Possessed form of data is
called information.
An example of data is E-
mail.
This information may be in
the form of text
documents, images, audio
clips, software programs,
or other types of data.
Data Meta-Data
• Data is information processed
or stored by a computer.
• A data that describes and
gives information about
other data.
• At its starting level ,
computer data is in the
form of zeros and ones,
known as binary data.
• Meta is a prefix that in most IT
usage means "Description."
Row column
• In DBMS ‘row’ is also called
‘record’ or ‘tuple’
• A column is a set of data
values of a particular
simple types.
• For example, in a table
called customer contact
information, a row would likely
contain fields such as: ID
number, name, street
• Column defines data in
table
the column data only contains
a pointer or link to the actual
file.
4. address, city, telephone
number and so on.
Question # 02
List Of 20 DATA-BASE Used In World
1. ORACLE RDBMS
2. IBM DB2
3. MY SQL
4. MICROSOFT
5. AMAZON
6. TERADATA
7. FILEMAKER
8. POSTGRE SQL
9. MONGODB
10. SAP ASE (SYBASE)
11. MICROSOFT ACCESS
12. INFORMIX
13. MARIA DB
14. SQLITE
15. MEMSQL
16. ADABAS
17. Dbase
18. FIREBIRD
19. ZENGINE
20. COUCHBASE
5. QUESTION # 03
WHY DATABASE IS BENEFICIAL OVER FILE MANAGEMENT
• No redundant data in DBMS – Redundancy removed by data
normalization.
• Data stability and probity – data normalization takes care of
it.
• Secure – Each user has a different set of access to it.
• Privacy – Limited access.
• Easy access to data(data easily access by user or user
friendly).
• Easy recovery (backup of data).
• Flexible.
