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Database Systems: Design,
Implementation, and
Management
Eighth Edition
Chapter 4
Entity Relationship (ER) Modeling
Database Systems, 8th
Edition 2
Objectives
• In this chapter, you will learn:
– The main characteristics of entity relationship
components
– How relationships between entities are defined,
refined, and incorporated into the database
design process
– How ERD components affect database design
and implementation
– That real-world database design often requires
the reconciliation of conflicting goals
Database Systems, 8th
Edition 3
The Entity Relationship (ER) Model
• ER model forms the basis of an ER diagram
• ERD represents conceptual database as
viewed by end user
• ERDs depict database’s main components:
– Entities
– Attributes
– Relationships
Database Systems, 8th
Edition 4
Entities
• Refers to entity set and not to single entity
occurrence
• Corresponds to table and not to row in
relational environment
• In Chen and Crow’s Foot models, entity
represented by rectangle with entity’s name
• Entity name, a noun, written in capital letters
Database Systems, 8th
Edition 5
Attributes
• Characteristics of entities
• Chen notation: attributes represented by ovals
connected to entity rectangle with a line
– Each oval contains the name of attribute it
represents
• Crow’s Foot notation: attributes written in
attribute box below entity rectangle
Database Systems, 8th
Edition 6
Database Systems, 8th
Edition 7
Attributes (continued)
• Required attribute:must have a value are bold
• Optional attribute: may be left empty
• Domain: set of possible values for an attribute
– Attributes may share a domain
• Identifiers: one or more attributes that uniquely
identify each entity instance
• Composite identifier: primary key composed
of more than one attribute
Database Systems, 8th
Edition 8
Database Systems, 8th
Edition 9
Attributes (continued)
• Composite attribute can be subdivided
• Simple attribute cannot be subdivided
• Single-value attribute can have only a single
value
• Multivalued attributes can have many values
Database Systems, 8th
Edition 10
Implementing Multivalued Attributes
Database Systems, 8th
Edition 11
Database Systems, 8th
Edition 12
Database Systems, 8th
Edition 13
Attributes (continued)
• M:N relationships and multivalued attributes should
not be implemented
– Create several new attributes for each of the
original multivalued attributes components
– Create new entity composed of original
multivalued attributes components
• Derived attribute: value may be calculated
from other attributes
– Need not be physically stored within database
Database Systems, 8th
Edition 14
Database Systems, 8th
Edition 15
Relationships
• Association between entities
• Participants are entities that participate in a
relationship
• Relationships between entities always operate
in both directions
• Relationship can be classified as 1:M
• Relationship classification is difficult to establish
if only one side of the relationship is known
Database Systems, 8th
Edition 16
Connectivity and Cardinality
• Connectivity
– Describes the relationship classification
• Cardinality
– Expresses minimum and maximum number of
entity occurrences associated with one
occurrence of related entity
• Established by very concise statements known
as business rules
Database Systems, 8th
Edition 17
Database Systems, 8th
Edition 18
Existence Dependence
• Existence dependence
– Entity exists in database only when it is
associated with another related entity
occurrence
• Existence independence
– Entity can exist apart from one or more related
entities
– Sometimes such an entity is referred to as a
strong or regular entity
Database Systems, 8th
Edition 19
Relationship Strength
• Weak (non-identifying) relationships
– Exists if PK of related entity does not contain PK
component of parent entity
• Strong (identifying) relationships
– Exists when PK of related entity contains PK
component of parent entity
Database Systems, 8th
Edition 20
Database Systems, 8th
Edition 21
Database Systems, 8th
Edition 22
Weak Entities
• Weak entity meets two conditions
1. Existence-dependent
2. Primary key partially or totally derived from
parent entity in relationship
• Database designer determines whether an
entity is weak based on business rules
Database Systems, 8th
Edition 23
Database Systems, 8th
Edition 24
Database Systems, 8th
Edition 25
Relationship Participation
• Optional participation
– One entity occurrence does not require
corresponding entity occurrence in particular
relationship
• Mandatory participation
– One entity occurrence requires corresponding
entity occurrence in particular relationship
Database Systems, 8th
Edition 26
Database Systems, 8th
Edition 27
Database Systems, 8th
Edition 28
Database Systems, 8th
Edition 29
Relationship Degree
• Indicates number of entities or participants
associated with a relationship
• Unary relationship “recursive relationship”
– Association is maintained within single entity
• EX: an employee within the EMPLOYEE entity is the manager for
one or more employees within that entity.
• EMPLOYEE requires another EMPLOYEE to be the manager
• that is, EMPLOYEE has a relationship with itself
• Binary relationship
– Two entities are associated
• Ternary relationship
– Three entities are associated
Database Systems, 8th
Edition 30
Database Systems, 8th
Edition 31
Database Systems, 8th
Edition 32
Recursive Relationships
• Relationship can exist between occurrences of
the same entity set
– Naturally found within unary relationship
Database Systems, 8th
Edition 33
Database Systems, 8th
Edition 34
Database Systems, 8th
Edition 35
Associative (Composite) Entities
• Also known as bridge entities
• Used to implement M:N relationships
• Composed of primary keys of each of the
entities to be connected
• May also contain additional attributes that play
no role in connective process
Database Systems, 8th
Edition 36
Database Systems, 8th
Edition 37
Database Systems, 8th
Edition 38
Developing an ER Diagram
• Database design is an iterative process
– Create detailed narrative of organization’s
description of operations
– Identify business rules based on description of
operations
– Identify main entities and relationships from
business rules
– Develop initial ERD
– Identify attributes and primary keys that
adequately describe entities
– Revise and review ERD
Database Systems, 8th
Edition 39
Database Systems, 8th
Edition 40
Database Systems, 8th
Edition 41
Database Systems, 8th
Edition 42
Database Systems, 8th
Edition 43
Database Systems, 8th
Edition 44
Database Systems, 8th
Edition 45
Database Systems, 8th
Edition 46
Database Systems, 8th
Edition 47
Database Systems, 8th
Edition 48
Database Systems, 8th
Edition 49
Database Systems, 8th
Edition 50
Database Design Challenges:
Conflicting Goals
• Database designers must make design
compromises
– Conflicting goals: design standards, processing
speed, information requirements
• Important to meet logical requirements and
design conventions
• Design of little value unless it delivers all
specified query and reporting requirements
• Some design and implementation problems do
not yield “clean” solutions
Database Systems, 8th
Edition 51
Database Systems, 8th
Edition 52
Summary
• Entity relationship (ER) model
– Uses ERD to represent conceptual database as
viewed by end user
– ERM’s main components:
• Entities
• Relationships
• Attributes
– Includes connectivity and cardinality notations
Database Systems, 8th
Edition 53
Summary (continued)
• Connectivities and cardinalities are based on
business rules
• M:N relationship is valid at conceptual level
– Must be mapped to a set of 1:M relationships
• ERDs may be based on many different ERMs
• Database designers are often forced to make
design compromises

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02010 ppt ch04

  • 1. Database Systems: Design, Implementation, and Management Eighth Edition Chapter 4 Entity Relationship (ER) Modeling
  • 2. Database Systems, 8th Edition 2 Objectives • In this chapter, you will learn: – The main characteristics of entity relationship components – How relationships between entities are defined, refined, and incorporated into the database design process – How ERD components affect database design and implementation – That real-world database design often requires the reconciliation of conflicting goals
  • 3. Database Systems, 8th Edition 3 The Entity Relationship (ER) Model • ER model forms the basis of an ER diagram • ERD represents conceptual database as viewed by end user • ERDs depict database’s main components: – Entities – Attributes – Relationships
  • 4. Database Systems, 8th Edition 4 Entities • Refers to entity set and not to single entity occurrence • Corresponds to table and not to row in relational environment • In Chen and Crow’s Foot models, entity represented by rectangle with entity’s name • Entity name, a noun, written in capital letters
  • 5. Database Systems, 8th Edition 5 Attributes • Characteristics of entities • Chen notation: attributes represented by ovals connected to entity rectangle with a line – Each oval contains the name of attribute it represents • Crow’s Foot notation: attributes written in attribute box below entity rectangle
  • 7. Database Systems, 8th Edition 7 Attributes (continued) • Required attribute:must have a value are bold • Optional attribute: may be left empty • Domain: set of possible values for an attribute – Attributes may share a domain • Identifiers: one or more attributes that uniquely identify each entity instance • Composite identifier: primary key composed of more than one attribute
  • 9. Database Systems, 8th Edition 9 Attributes (continued) • Composite attribute can be subdivided • Simple attribute cannot be subdivided • Single-value attribute can have only a single value • Multivalued attributes can have many values
  • 13. Database Systems, 8th Edition 13 Attributes (continued) • M:N relationships and multivalued attributes should not be implemented – Create several new attributes for each of the original multivalued attributes components – Create new entity composed of original multivalued attributes components • Derived attribute: value may be calculated from other attributes – Need not be physically stored within database
  • 15. Database Systems, 8th Edition 15 Relationships • Association between entities • Participants are entities that participate in a relationship • Relationships between entities always operate in both directions • Relationship can be classified as 1:M • Relationship classification is difficult to establish if only one side of the relationship is known
  • 16. Database Systems, 8th Edition 16 Connectivity and Cardinality • Connectivity – Describes the relationship classification • Cardinality – Expresses minimum and maximum number of entity occurrences associated with one occurrence of related entity • Established by very concise statements known as business rules
  • 18. Database Systems, 8th Edition 18 Existence Dependence • Existence dependence – Entity exists in database only when it is associated with another related entity occurrence • Existence independence – Entity can exist apart from one or more related entities – Sometimes such an entity is referred to as a strong or regular entity
  • 19. Database Systems, 8th Edition 19 Relationship Strength • Weak (non-identifying) relationships – Exists if PK of related entity does not contain PK component of parent entity • Strong (identifying) relationships – Exists when PK of related entity contains PK component of parent entity
  • 22. Database Systems, 8th Edition 22 Weak Entities • Weak entity meets two conditions 1. Existence-dependent 2. Primary key partially or totally derived from parent entity in relationship • Database designer determines whether an entity is weak based on business rules
  • 25. Database Systems, 8th Edition 25 Relationship Participation • Optional participation – One entity occurrence does not require corresponding entity occurrence in particular relationship • Mandatory participation – One entity occurrence requires corresponding entity occurrence in particular relationship
  • 29. Database Systems, 8th Edition 29 Relationship Degree • Indicates number of entities or participants associated with a relationship • Unary relationship “recursive relationship” – Association is maintained within single entity • EX: an employee within the EMPLOYEE entity is the manager for one or more employees within that entity. • EMPLOYEE requires another EMPLOYEE to be the manager • that is, EMPLOYEE has a relationship with itself • Binary relationship – Two entities are associated • Ternary relationship – Three entities are associated
  • 32. Database Systems, 8th Edition 32 Recursive Relationships • Relationship can exist between occurrences of the same entity set – Naturally found within unary relationship
  • 35. Database Systems, 8th Edition 35 Associative (Composite) Entities • Also known as bridge entities • Used to implement M:N relationships • Composed of primary keys of each of the entities to be connected • May also contain additional attributes that play no role in connective process
  • 38. Database Systems, 8th Edition 38 Developing an ER Diagram • Database design is an iterative process – Create detailed narrative of organization’s description of operations – Identify business rules based on description of operations – Identify main entities and relationships from business rules – Develop initial ERD – Identify attributes and primary keys that adequately describe entities – Revise and review ERD
  • 50. Database Systems, 8th Edition 50 Database Design Challenges: Conflicting Goals • Database designers must make design compromises – Conflicting goals: design standards, processing speed, information requirements • Important to meet logical requirements and design conventions • Design of little value unless it delivers all specified query and reporting requirements • Some design and implementation problems do not yield “clean” solutions
  • 52. Database Systems, 8th Edition 52 Summary • Entity relationship (ER) model – Uses ERD to represent conceptual database as viewed by end user – ERM’s main components: • Entities • Relationships • Attributes – Includes connectivity and cardinality notations
  • 53. Database Systems, 8th Edition 53 Summary (continued) • Connectivities and cardinalities are based on business rules • M:N relationship is valid at conceptual level – Must be mapped to a set of 1:M relationships • ERDs may be based on many different ERMs • Database designers are often forced to make design compromises