Physical and logical data independence are described. Logical data independence refers to the ability to change the logical schema without impacting external schemas or application programs. Physical data independence is the ability to change the physical schema without affecting the logical schema, such as changing storage structures or devices. Examples of each type of independence are provided. The key elements of an entity-relationship model - entities, attributes, and relationships - are defined. An example E-R diagram showing students, courses, and their relationship is depicted to illustrate these elements.

1. Physical and Logical data
Independence
By Umli

2. Logical Data Independence

3. What do you mean by logical
data independence?
The ability to change the logical schema without changing the
external schema or application programs is called as Logical
Data Independence.
OR
The ability to change the logical schema without having to
change the external schema.

4. Examples
The addition or removal of new
entities, attributes, or relationships to the
conceptual schema should be possible without
having to change existing external schemas or
having to rewrite existing application programs.

6. Physical Data Independence

7. What do you mean by Physical Data
Independence
 The ability to change the physical schema without
changing the logical schema is called as Physical Data
Independence. Changes in the physical schema may
include.
 Using new storage devices.
 Using different data structures.
 Switching from one access method to another.
 Using different file organizations or storage structures.
 Modifying indexes.

8. Examples
A change to the internal schema, such as using
different file organization or storage
structures, storage devices, or indexing
strategy, should be possible without having to change
the conceptual or external schemas.

9. Entity Relationship

10. Elements of E-R Model
 In the E/R model, the structure of data is represented
graphically, as an “entity-relationship diagram,” using
three Principal element types:
 Entity Sets.
 An entity is an abstract object of some sort, and a
collection of similar entities forms an entity set.
 Attributes
 The properties of the entities in the set.
 Relationship
 The connections among two or more entity Sets

11. Example of Elements of E-R Model
Entity Sets
Departments
Professors
Students
Administrators
Attributes
Name of Departments, Phone No., Address...
Name, SSN, Address of Professors...
Relationship
Students and Professors are under a certain department
Admin manage the campus/ departments

13. Attribute
 An attribute is an item of data held about an
entity
 In computer systems an attribute is a field of
information
 Example : Sales System
 Entity : Customer
 Attributes : Customer Name, Customer
Address, Customer Phone Number

14.  A key attribute uniquely identifies a specific occurrence of an
entity
 This may also be referred to as a primary key
 Examples of primary keys include:
 ISBN
 Student Number
 Staff ID
For Example
 In a Sales System, customer name and address are
attributes of the entity customer.
 The primary key is likely to be Customer Code or
Customer ID as the unique identifier for each customer in
the system.

16. Example: A library database contains a listing of authors
that have written books on various subjects (one author per
book). It also contains information about libraries that carry
books on various subjects.
Entity sets: authors, subjects, books, libraries
Relationship sets: wrote, carry, indexed
Subject
title isbn matter
SS#
authors wrote books index subject
name
quantity carry
address libraries

17. Entity-Relationship (E-R) Model
COURSE# CTITILE PROF SCHED
ROOM
COURSE
ENROLL GRADE
STUDENT
STUID SNAME MAJOR CREDITS

18. Example of the 3 elements in Entity
Relationship Diagram
Attribute Attribute
Attribute
Entity Entity Entity
A B C
Relationship