Chapter 4 Entity Relationship (ER) Modeling

Slides:



Advertisements
Similar presentations
Entity Relationship (ER) Modeling
Advertisements

Chapter # 4 BIS Database Systems
Entity Relationship (E-R) Modeling
Entity Relationship (E-R) Modeling Hachim Haddouti
Entity Relationship (ER) Modeling
Chapter 4 Entity Relationship (E-R) Modeling
Entity Relationship (ER) Modeling
4 1 Chapter 4 Entity Relationship (ER) Modeling Database Systems: Design, Implementation, and Management, Sixth Edition, Rob and Coronel.
Database Systems: Design, Implementation, and Management Eighth Edition Chapter 4 Entity Relationship (ER) Modeling.
Chapter 4 Entity Relationship (E-R) Modeling
Entity Relationship (ER) Modeling
Entity Relationship (ER) Modeling
Entity-Relation Modeling Hun Myoung Park, Ph.D., Public Management and Policy Analysis Program Graduate School of International Relations International.
Entity Relationship (E-R) Modeling
Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 7 Data Modeling Using the Entity- Relationship (ER) Model.
Chapter 4 ENTITY-RELATIONSHIP MODELLING.
Database Systems: Design, Implementation, & Management, 5 th Edition, Rob & Coronel 1 Data Models: Degrees of Data Abstraction l Modified ANSI/SPARC Framework.
Database Systems: Design, Implementation, and Management Tenth Edition
Chapter 4 Entity Relationship (E-R) Modeling
Chapter 4 Entity-Relationship modeling Transparencies © Pearson Education Limited 1995, 2005.
BTM 382 Database Management Chapter 4: Entity Relationship (ER) Modeling Chitu Okoli Associate Professor in Business Technology Management John Molson.
Entity-Relationship modeling Transparencies
Chapter 12 Entity-Relationship Modeling Pearson Education © 2009.
1 © Prentice Hall, 2002 CMIS564: E/R Modeling Dr. Bordoloi Based on Chapter 3; Modern Database Management 6 th Edition Jeffrey A. Hoffer, Mary B. Prescott,
3 Chapter 3 Entity Relationship (E-R) Modeling Database Systems: Design, Implementation, and Management, Fifth Edition, Rob and Coronel.
DeSiamorewww.desiamore.com/ifm1 Database Management Systems (DBMS)  B. Computer Science and BSc IT Year 1.
CSE314 Database Systems Data Modeling Using the Entity- Relationship (ER) Model Doç. Dr. Mehmet Göktürk src: Elmasri & Navanthe 6E Pearson Ed Slide Set.
Entity-relationship Modeling Transparencies 1. ©Pearson Education 2009 Objectives How to use ER modeling in database design. The basic concepts of an.
Chapter 7 Data Modeling with Entity Relationship Diagrams Database Principles: Fundamentals of Design, Implementation, and Management Tenth Edition.
ITEC 3220M Using and Designing Database Systems Instructor: Prof. Z.Yang Course Website: 3220m.htm
4 1 Chapter 4 Entity Relationship (ER) Modeling Database Systems: Design, Implementation, and Management, Seventh Edition, Rob and Coronel.
Chapter 5 Entity Relationship (ER) Modelling
Chapter 5 Entity–Relationship Modeling
1 ER Modeling BUAD/American University Entity Relationship (ER) Modeling.
4 1 Chapter 4 Entity Relationship (ER) Modeling Database Systems: Design, Implementation, and Management, Sixth Edition, Rob and Coronel.
© Pearson Education Limited, Chapter 7 Entity-Relationship modeling Transparencies.
Entity-Relationship Modeling Based on Chapter 12.
Database Systems: Design, Implementation, and Management Tenth Edition Chapter 4 Entity Relationship (ER) Modeling.
Database Systems: Design, Implementation, and Management Eighth Edition Chapter 4 Entity Relationship (ER) Modeling.
Chapter 4 Entity Relationship (ER) Modeling.  ER model forms the basis of an ER diagram  ERD represents conceptual database as viewed by end user 
4 1 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Relationship Degree Indicates number of entities or participants.
Database Design – Lecture 5 Conceptual Data Modeling – adding attributes.
DeSiamorePowered by DeSiaMore1 Database Management Systems (DBMS)  B. Computer Science and BSc IT Year 1.
3 & 4 1 Chapters 3 and 4 Drawing ERDs October 16, 2006 Week 3.
Chapter 9: Logical Database Design and the Relational Model (ERD Mapping)
Chapter 7 Data Modeling with Entity Relationship Diagrams
Msigwaemhttp//:msigwaem.ueuo.com/1 Database Management Systems (DBMS)  B. Computer Science and BSc IT Year 1.
1 A Demo of Logical Database Design. 2 Aim of the demo To develop an understanding of the logical view of data and the importance of the relational model.
3 & 4 1 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Keys Consists of one or more attributes that determine other.
Database Systems: Design, Implementation, and Management Ninth Edition Chapter 4 Entity Relationship (ER) Modeling.
Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 7 Data Modeling Using the Entity- Relationship (ER) Model.
AL-MAAREFA COLLEGE FOR SCIENCE AND TECHNOLOGY INFO 232: DATABASE SYSTEMS CHAPTER 4 ENTITY RELATIONSHIP (ER) MODELING Instructor Ms. Arwa Binsaleh 1.
Database Design – Lecture 4 Conceptual Data Modeling.
1 Database Systems Entity Relationship (E-R) Modeling.
The Entity-Relationship Model, P. I R. Nakatsu. Data Modeling A data model is the relatively simple representation, usually graphic, of the structure.
Entity-Relationship Modeling. 2 Entity Type u Entity type –Group of objects with same properties, identified by enterprise as having an independent existence.
Chapter 8 Entity-Relationship Modeling Pearson Education © 2009.
Department of Mathematics Computer and Information Science1 CS 351: Database Management Systems Christopher I. G. Lanclos Chapter 4.
TMC2034 Database Concept and Design
Chen’s Type Guidance.
Entity Relationship (E-R) Modeling
Entity Relationship (E-R) Modeling
Tables and Their Characteristics
Database Design – Lecture 4
Chapter 4 Entity Relationship (ER) Modeling
Database Systems: Design, Implementation, and Management Tenth Edition
Review of Week 1 Database DBMS File systems vs. database systems
Chapter 4 Entity Relationship (ER) Modeling
Entity Relationship (ER) Modeling
Chapter # 4 Entity Relationship (ER) Modeling.
Presentation transcript:

Chapter 4 Entity Relationship (ER) Modeling Database Systems: Design, Implementation, and Management Eighth Edition Chapter 4 Entity Relationship (ER) Modeling

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

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

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

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

Database Systems, 8th Edition

Attributes (continued) Required attribute: must have a value 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

Database Systems, 8th Edition

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

Database Systems, 8th Edition

Resolving Multivalued Attribute Problems Although conceptual model can handle M:N relationships and multivalued attributes, you should not implement them in relational DBMS Within original entity, create several new attributes, one for each of the original multivalued attribute’s components Can lead to major structural problems in table Create new entity composed of original multivalued attribute’s components Database Systems, 8th Edition

Resolving Multivalued Attribute Problems (continued) Database Systems, 8th Edition

Resolving Multivalued Attribute Problems (continued) Database Systems, 8th Edition

Resolving Multivalued Attribute Problems (continued) Database Systems, 8th Edition

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

Database Systems, 8th Edition

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

Connectivity and Cardinality 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

Database Systems, 8th Edition

Existence Dependence Existence dependence Existence independence 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

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

Database Systems, 8th Edition

Database Systems, 8th Edition

Weak Entities Weak entity meets two conditions Existence-dependent 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

Database Systems, 8th Edition

Database Systems, 8th Edition

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

Database Systems, 8th Edition

Database Systems, 8th Edition

Relationship Degree Indicates number of entities or participants associated with a relationship Unary relationship Association is maintained within single entity Binary relationship Two entities are associated Ternary relationship Three entities are associated Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

Recursive Relationships Relationship can exist between occurrences of the same entity set Naturally found within unary relationship Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

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

Database Systems, 8th Edition

Database Systems, 8th Edition

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

Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

Database Systems, 8th Edition

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

Database Systems, 8th Edition

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

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 Database Systems, 8th Edition