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Data%20Models

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Lecture 2 Data Models Learning Objectives Why data models are important About the basic data-modeling building blocks What business rules are and how they affect ... – PowerPoint PPT presentation

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Title: Data%20Models


1
Lecture 2
  • Data Models

2
Learning Objectives
  • Why data models are important
  • About the basic data-modeling building blocks
  • What business rules are and how they affect
    database design
  • How the major data models evolved, and their
    advantages and disadvantages
  • How data models can be classified by level of
    abstraction

3
  • Data model
  • Models abstraction of real-world Events
  • DB Model
  • Represents data structure and relationship
  • Conceptual
  • "What" is represented
  • Implementation
  • "How" represented

4
CONCEPTUAL
  • 3 types of associations
  • ..one to many
  • ..many to many
  • ..one-to-one

5
Implementation
  • How data is represented in database ?

6
Types of Data Models
  • Hierarchical (see page 33)
  • Network (see page 34)
  • ..Simple
  • ..Complex
  • Relational (page 36)
  • Object-Oriented (page 41)

7
Hierarchical DB Model
  • ex IMS by IBM
  • basic unit is SEGMENT
  • (similar to a record)
  • root
  • ..a child can have at the most one parent
  • ..a parent can have many children
  • navigation path
  • .pre order traversing
  • .post order traversing

8
Advantages/Disadvantages
  • Advtg
  • allows data sharing
  • data independence
  • data integrity
  • efficient for
  • DISADVTG
  • need to know some PHYSICAL level details
  • data that do not conform to 1m
  • complex and less flexible
  • need to provide navigational path
  • ad-hoc capabilities limited

9
Network DB model
  • SET
  • OWNER and MEMBERS

10
Advantages/Disadvantages
  • Advantages
  • .mn easy to implement
  • .data integrity is maintained
  • .data independence
  • Disadvantages
  • .Complex
  • .no structural independence
  • .navigation path

11
Relational Model (p 36)
  • Linking relational tables (page 37)
  • Typically done through primary and foreign key
  • Read the examples carefully

12
Object-Oriented Model (page 41)
  • Objects are defined (similar to entities)
  • Objects contain data and procedures
  • Objects can FIT with other objects
  • Objects are reusable
  • Objects have INHERITANCE property

13
ER Data Model (page 38)
  • Define
  • Entities
  • Attributes
  • Relationships

14
Degree of DATA abstraction
  • Conceptual IT (hardware/software independent)
  • Internal (DBMS dependent)
  • External (end user orientation)
  • Physical Model (actual implementation)

15
  • Supplemental reading
  • www.itpapers.com
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