Chapter -3- Data Modeling Using the Entity-Relationship Model

Slides:



Advertisements
Similar presentations
Entity Relationship Diagrams
Advertisements

Database Design The process of finding user requirement
Database Management COP4540, SCS, FIU Database Modeling Using the Entity-Relationship Model (Chapter 3)
APPENDIX C DESIGNING DATABASES
Chapter 3 Data Modeling Using the Entity- Relationship (ER) Model Dr. Bernard Chen Ph.D. University of Central Arkansas.
Data Modeling Using the Entity-Relationship Model
Chapter 3 Relational Model Chapter 4 in Textbook.
Data Modeling Using the Entity-Relationship Model
Data Modeling Using the Entity-Relationship Model
Chapter 3 Data Modeling Using the Entity-Relationship (ER) Model.
Kingdom of Saudi Arabia Ministry of Higher Education Al-Imam Muhammad Ibn Saud Islamic University College of Computer and Information Sciences Data Modeling.
Chapter 2 Entity-Relationship Model Chapter 11 & 12 in Textbook.
CONCEPTS OF E-R MODEL. CONTENTS Entity Attributes Data Value Entity Types Types of Entity Types Relationships Relationship Constraints.
Dr. Mohamed Osman Hegaz1 Conceptual data base design: The conceptual models: The Entity Relationship Model.
Entity-Relationship Model
Database. Basic Definitions Database: A collection of related data. Database Management System (DBMS): A software package/ system to facilitate the creation.
Database. Basic Definitions Database: A collection of related data. Database Management System (DBMS): A software package/ system to facilitate the creation.
Conceptual Data Modeling, Entity Relationship Diagrams
Chapter 3 Data Modeling Using the Entity- Relationship (ER) Model Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2008.
Dr. Ahmad R. Hadaegh A.R. Hadaegh California State University San Marcos (CSUSM) Page 1 Entity Relational Diagram (ERD) Modeling This particular lecture.
Chapter 4 Entity Relationship (ER) Modeling.  ER model forms the basis of an ER diagram  ERD represents conceptual database as viewed by end user 
Entity – Relationship Model (E-R Model)
Data modeling using the entity-relationship model Chapter 3 Objectives How entities, tuples, attributes and relationships among entities are represented.
Database Management COP4540, SCS, FIU Database Modeling Using the Entity-Relationship Model (Continued)
Database Management Systems MIT Lesson 02 – Database Design (Entity Relationship Diagram) By S. Sabraz Nawaz.
Slide Chapter 3 Data Modeling Using the Entity- Relationship (ER) Model.
UNIT_2 1 DATABASE MANAGEMENT SYSTEM[DBMS] [Unit: 2] Prepared By Lavlesh Pandit SPCE MCA, Visnagar.
Data Modelling Using Entity-Relationship (ER) Model
Data Modeling Using the Entity-Relationship (ER) Data Model.
Chapter 3: Data Modeling Using the Entity-Relationship (ER) Data Model
Lecture4: Informal guidelines for good relational design Mapping ERD to Relation Prepared by L. Nouf Almujally Ref. Chapter3 Lecture4 1.
Chapter 3: Modeling Data in the Organization. Business Rules Statements that define or constrain some aspect of the business Assert business structure.
Database Designsemester Slide 1 Database Design Lecture 7 Entity-relationship modeling Text , 7.1.
Data Modeling Using the Entity- Relationship (ER) Model
Comp 1100 Entity-Relationship (ER) Model
Data Modeling Using the Entity- Relationship (ER) Model
Entity-Relationship Model
CS4222 Principles of Database System
Data Modeling Using the Entity- Relationship (ER) Model
Database Management Systems
Entity- Relationship (ER) Model
ER model Ashima Wadhwa.
Entity-Relationship Model
Entity Relationship Model
© The McGraw-Hill Companies, All Rights Reserved APPENDIX C DESIGNING DATABASES APPENDIX C DESIGNING DATABASES.
Entity-Relationship Model
Tables and Their Characteristics
Chapter -3- Data Modeling Using the Entity-Relationship Model
Quiz Questions Q.1 An entity set that does not have sufficient attributes to form a primary key is a (A) strong entity set. (B) weak entity set. (C) simple.
Chapter 7: Entity-Relationship Model
Outline of the ER Model By S.Saha
Chapter -2- Data Modeling Using the Entity-Relationship Model
ER MODEL Lecture 3.
Lecture3: Data Modeling Using the Entity-Relationship Model.
بسم الله الرحمن الرحيم.
ERD’s REVIEW DBS201.
Entity Relationship Diagrams
Chapter 4+17 The Relational Model Pearson Education © 2014.
Database Systems: Design, Implementation, and Management Tenth Edition
Chapter Entity-Relationship Modeling & Enhanced Entity- Relationship Modeling.
Database Modeling using Entity Relationship Model (E-R Model)
Review of Week 1 Database DBMS File systems vs. database systems
Conceptual Data Modeling Using Entities & Relationships
Chapter 7: Entity-Relationship Model
Chapter Entity-Relationship Modeling & Enhanced Entity- Relationship Modeling.
Entity-Relationship Diagram (ERD)
Mapping an ERD to a Relational Database
Entity Relation Model Tingting Zhang.
ER MODELING Instructor: SAMIA ARSHAD
Chapter # 4 Entity Relationship (ER) Modeling.
Presentation transcript:

Chapter -3- Data Modeling Using the Entity-Relationship Model Database Design Chapter -3- Data Modeling Using the Entity-Relationship Model References: Prof. Mona Mursi Lecture notes

Database Design Steps in building a database for an application: 1. Understand real-world domain being captured 2. Specify it using a database conceptual model (E/R,OO) 3. Translate specification to model of DBMS (relational) 4. Create schema using DBMS commands (DDL) 5. Load data (DML) Real-world domain Conceptual model DBMS data model Create Schema (DDL) Load data (DML)

Entity-Relationship Model (E/R) The Entity-Relationship model (ER) is a high-level description of the structure of the DB The Entity-Relationship Diagram (ERD) is a graphical model for representing the conceptual model for the data A E/R models the DB using three element types: - Entities - Attributes - Relationships

ERD Example

Entities Entity: The basic object that the ER model represent is an entity which is a thing in the real world. Physical existence : like a person, employee, cars . Conceptual existence : like job, course. Person : employee , student . Place : city , department . Object : machine automobile . Event : cutomer _ order .

Attributes Attribute: The particular properties that describes the entity. e.g.: an employee is described by : name, age, address, salary , job. * An entity will have a value for each of its attributes.

Entities & Attributes STUDENT COURSE STUDENT COURSE name DOB name St_no Tel_no hours number STUDENT COURSE

Attributes Attribute types :- Composite and Simple. Single Valued and Multi valued. Stored and Derived Attributes.

Attribute Types Composite v Simple Composite attributes: divided into smaller subparts e.g. name divided into first, initial ,last. Simple attributes: attributes that are not divisible e.g. salary. Name FirstName MiddleName LastName SALARY initial FName LName Area_cd DOB name no St_no Tel_no EX STUDENT

Single Valued v Multivalued Single value : most attributes are of this type. E.g. age Multivalued: set of values for the same Attribute . E.g. car colors, previous degrees. Color initial FName LName Area_cd DOB name no St_no Tel_no EX Mobile STUDENT

Stored v Derived Attributes Stored attributes: regular attributes. Derived attributes: are calculated from attributes of one or several related entities. E.g. calculating the salary from the hours worked and number of hours. BDate Age name DOB St_no Tel_no age STUDENT

More Attribute Types Null values: some entities may not have an applicable values for an attribute => a special value is created called Null. E.g. in the employee information the field of mobile number can have a null value because some employees do not have mobile phones. Complex attributes: composite and multivalued attributes can be nested. {} represents multivalued. () represents composite attributes. E.g. a person may have many certificate, each certificate has the subfields name, year and level. Therefore it is represented this way : {certificate (name, year, level)}

Entities Entity Type: is a collection of occurrences of entities that have common properties. E.g. employees. Entity Instance: is a single occurrence of an entity type. E.g. the student named Nora. Entity Set: a collection of all entities of a particular entity type in the database at any point in time. E.g. Employee . Employee refers to both the type of entity + the current set of all employees entity in the database. مثلا الكينونه الموظفين هذه تسمى entity type هذي الكينونه فيها اكثر من خاصيه مثلا الأسم و العنوان و الراتب الموظف احمد يسمى entity instant مجموعه البيانات المدخله في جدول الموظفين من اسماء و عنواين و رواتب لكل الموظفين تسمى Entity set الموظف احمد راتبه و عنوانه مع بعض يسمى entity وهي نفس السجل في الجدول

Entity Must have many instants in DB. Must have many attribute . Represented as a rectangle box inside it the entity type name .

Doctor Ahmed manage a heart clinic in a hospital Doctor Ahmed manage a heart clinic in a hospital . Where is the entities types and relationships ? Doctor , hospital  entity Ahmad  instant Manage  relationship Doctor Manage hospital

Key Attributes of an Entity Type Key attribute: is a key that identifies each entity uniquely, and has a distinct value . E.g. the name attribute in the company entity is unique. primary key: The primary key uniquely identifies each record in the table Candidate Key (CK): a set of attributes that uniquely identify an instance of an entity. E.g. Students can be identified by SSN or ID. Composite Key: is a key made from more than one attribute. E.g. the flight can be uniquely identified by flight number and flight date. Alternate Key (AK): is a candidate key that is NOT selected to be the primary key.

Keys Example Student Birth date Student name Student _ id Example of Simple key

Composite Key in ERD CLASS FLIGHT name Section_no hours crs_code FlightID FlightNo Date FLIGHT

Primary Key Attribute (PK) Can be a single attribute or composite attribute. Can be called identifier. Weak entity may have no key. Has the following criteria: Should not change its value Not null

Strong & Weak Entity Types A strong entity type is NOT existence-dependent on some other entity type. It has a PK. A weak entity type is an entity type that is existence-dependent on some other entity type. It does not have a PK.

Weak Entity Type The existence of a weak entity type depends on the existence of a strong entity set; it must relate to the strong entity type via a relationship type called identifying relationship. The PK of a weak entity set is formed by the PK of its strong entity type, plus a weak entity type discriminator attribute (Partial key). LName FName gender NAME emp_no DOB has EMPLOYEE DEPENDENT

Values Sets (Domains) of Attributes Domain: the set of values that might be assigned to the attribute for each individual entity. e.g. ages of employees can be ( 16-70) e.g. names is a set of alphabetical characters only Not displayed in ER diagram.