Database Management Systems - CS403 Power Point Slides Lecture 07 (1).ppt
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The document discusses the key components of an entity-relationship (E-R) data model, which is a semantic data model used for conceptual database design. The major components are entities, attributes, and relationships. Entities can be regular or weak types, and have instances and sets. Attributes define properties of entity types and have domains and types. Relationships represent associations between different entity types.
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Database management systems cs403 power point slides lecture 07
The document discusses the key components of an Entity-Relationship (E-R) data model, which is a semantic data model used for conceptual database design. The major components are entities, attributes, and relationships. Entities represent real-world objects like people, places, events or concepts. Attributes are properties of entities, like name or identification. Relationships define connections between different entities. The E-R model provides symbols to graphically represent these components and their relationships in a conceptual database design.
Entity-Relationship Data Model IN dbms
The document discusses the Entity-Relationship (E-R) data model, which is a semantic data model used for conceptual database design. It has three main components: entities, attributes, and relationships. Entities represent real-world objects like people, places, events or concepts. Attributes are properties of entities, like name or identification number. Relationships define how entities are connected or related to each other. The document defines different types of entities, attributes, relationships, and provides examples and symbols used to represent them in E-R diagrams.
DBMS Unit-2_Final.pptx
The document discusses concepts related to conceptual database design and the entity-relationship (ER) model. It defines key concepts such as entities, attributes, entity types, entity sets, relationship sets, and ER diagram notations. It provides examples of strong and weak entities. It also explains different types of relationships, cardinality ratios, and participation constraints that can exist between entity sets in an ER diagram.
dbms mannual.pdf
ER diagrams are used to visually represent the logical structure of databases and the relationships between entities stored in a database. The key components of an ER diagram include entities represented by rectangles, attributes represented by ovals, and relationships represented by diamonds. ER diagrams help identify the entities, attributes, relationships, and cardinalities that should exist in a database design. Creating an ER diagram is an important first step before implementing a relational database.
Data Models
This document discusses data models and the entity relationship model. It defines a data model as a representation of real world objects and events that hides low-level storage details. The entity relationship model represents entities as objects with attributes, and relationships between entity sets. Entities are grouped into entity sets and represented as rectangles. Relationships are represented as diamonds connected to entity sets. Attributes are represented as ellipses connected to entity sets. The document describes key attributes, simple attributes, composite attributes, derived attributes, and single and multi-value attributes. It provides an example of a student entity with attributes like roll number, name, and date of birth.
Fundamentals of database system - Data Modeling Using the Entity-Relationshi...
Fundamentals of database system - Data Modeling Using the Entity-Relationshi...Mustafa Kamel Mohammadi
In this chapter you will learn
Relational data model concepts
What is entity?
What is attribute and it’s types
What is relationship?
What is an Entity-Relationship data model?
Relational data model constraints
Characteristics of relation
Er Modeling
Introduction of Database Design and Development,Logical Design and Conceptual Database Design,Data Retrival, Sql slides, Queries,Data Retrival, Sql slides, Queries,Er Model,Normalization etc
Entity-Relationship Data Model in DBMS
It is a semantic data model that is used for the graphical representation of the conceptual database design. The semantic data models provide more constructs that is why a database design in a semantic data model can contain/represent more details. With a semantic data model, it becomes easier to design the database, at the first place, and secondly it is easier to understand later. We also know that conceptual database is our first comprehensive design. It is independent of any particular implementation of the database, that is, the conceptual database design expressed in E-R data model can be implemented using any DBMS. For that we will have to transform the conceptual database design from E-R data model to the data model of the particular DBMS. There is no DBMS based on the E-R data model, so we have to transform the conceptual database design anyway.
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Database management systems cs403 power point slides lecture 07
The document discusses the key components of an Entity-Relationship (E-R) data model, which is a semantic data model used for conceptual database design. The major components are entities, attributes, and relationships. Entities represent real-world objects like people, places, events or concepts. Attributes are properties of entities, like name or identification. Relationships define connections between different entities. The E-R model provides symbols to graphically represent these components and their relationships in a conceptual database design.
Entity-Relationship Data Model IN dbms
The document discusses the Entity-Relationship (E-R) data model, which is a semantic data model used for conceptual database design. It has three main components: entities, attributes, and relationships. Entities represent real-world objects like people, places, events or concepts. Attributes are properties of entities, like name or identification number. Relationships define how entities are connected or related to each other. The document defines different types of entities, attributes, relationships, and provides examples and symbols used to represent them in E-R diagrams.
DBMS Unit-2_Final.pptx
The document discusses concepts related to conceptual database design and the entity-relationship (ER) model. It defines key concepts such as entities, attributes, entity types, entity sets, relationship sets, and ER diagram notations. It provides examples of strong and weak entities. It also explains different types of relationships, cardinality ratios, and participation constraints that can exist between entity sets in an ER diagram.
dbms mannual.pdf
ER diagrams are used to visually represent the logical structure of databases and the relationships between entities stored in a database. The key components of an ER diagram include entities represented by rectangles, attributes represented by ovals, and relationships represented by diamonds. ER diagrams help identify the entities, attributes, relationships, and cardinalities that should exist in a database design. Creating an ER diagram is an important first step before implementing a relational database.
Data Models
This document discusses data models and the entity relationship model. It defines a data model as a representation of real world objects and events that hides low-level storage details. The entity relationship model represents entities as objects with attributes, and relationships between entity sets. Entities are grouped into entity sets and represented as rectangles. Relationships are represented as diamonds connected to entity sets. Attributes are represented as ellipses connected to entity sets. The document describes key attributes, simple attributes, composite attributes, derived attributes, and single and multi-value attributes. It provides an example of a student entity with attributes like roll number, name, and date of birth.
Fundamentals of database system - Data Modeling Using the Entity-Relationshi...
Fundamentals of database system - Data Modeling Using the Entity-Relationshi...Mustafa Kamel Mohammadi
In this chapter you will learn
Relational data model concepts
What is entity?
What is attribute and it’s types
What is relationship?
What is an Entity-Relationship data model?
Relational data model constraints
Characteristics of relation
Er Modeling
Introduction of Database Design and Development,Logical Design and Conceptual Database Design,Data Retrival, Sql slides, Queries,Data Retrival, Sql slides, Queries,Er Model,Normalization etc
Entity-Relationship Data Model in DBMS
It is a semantic data model that is used for the graphical representation of the conceptual database design. The semantic data models provide more constructs that is why a database design in a semantic data model can contain/represent more details. With a semantic data model, it becomes easier to design the database, at the first place, and secondly it is easier to understand later. We also know that conceptual database is our first comprehensive design. It is independent of any particular implementation of the database, that is, the conceptual database design expressed in E-R data model can be implemented using any DBMS. For that we will have to transform the conceptual database design from E-R data model to the data model of the particular DBMS. There is no DBMS based on the E-R data model, so we have to transform the conceptual database design anyway.
Data Modeling Er
The document discusses data modeling and the entity-relationship (ER) model. It defines key concepts in data modeling like entities, attributes, relationships and keys. It explains how ER diagrams depict entities as objects and relationships between entities. The document also covers extended ER modeling concepts like weak entities, generalization and aggregation.
Lecture one db
This document provides an overview of entity-relationship (ER) modeling concepts for conceptual database design. It defines entities as objects with attributes, and relationships as connections between entities. Entities can have simple or composite attributes. Relationships have names, participating entity sets, degrees, and mapping cardinalities like one-to-one, one-to-many, and many-to-many. ER diagrams use shapes and lines to represent these components and show cardinalities. The document also discusses recursive relationships, participation constraints, and examples of an ER diagram for products and suppliers.
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The document discusses the relational data model and ER model for conceptual database design. It covers key concepts such as entities, attributes, relationships, constraints, and ER diagrams. The relational data model uses tables made up of rows and columns to store data, with each table representing an entity. Relationships between entities can be one-to-one, one-to-many, many-to-one, or many-to-many. The ER model is used to design the conceptual schema and represent entities, attributes, and relationships visually using diagrams. The conceptual schema is later transformed into a logical schema for a specific database implementation.
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This document discusses entity relationship (ER) modeling. It defines key concepts in ER modeling including entities, attributes, relationships, and ER diagram notations. Entities can be people, places, objects or concepts and are grouped into entity types. Attributes provide information about entities. Relationships define how entities are connected. Common relationship types are one-to-one, one-to-many, many-to-one, and many-to-many. ER diagrams use notations like boxes, lines, and crow's foot symbols to visually depict entities, attributes, and relationships in a database design. The document also covers entity classification, primary keys, foreign keys, and potential problems in ER modeling.
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This document introduces entity-relationship modeling, which is a popular way to design databases. It discusses key concepts such as entities, attributes, relationships, and structural constraints. Entities represent real-world objects, and attributes describe their characteristics. Relationships associate entities, and come in different degrees (binary, ternary). Structural constraints specify how many entities can participate in a relationship, such as one-to-one, one-to-many, or many-to-many relationships. Together, entities, attributes, relationships and constraints form the basis of entity-relationship modeling.
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The entity-relationship (E-R) model is a way to graphically represent entities and relationships between entities to create a database. The E-R model employs three basic concepts: entity sets, relationship sets, and attributes. An entity set is a set of entities of the same type that share attributes. Attributes are descriptive properties of each member of an entity set. There are different types of attributes including simple/composite, single/multi-valued, derived, key, and null attributes.
Entity (types, attibute types)
An entity is a person, place, object, event or concept in the user environment about which the organization wishes to maintain data.
ERD.pptx
The document discusses the entity-relationship (E-R) model for data modeling. Some key points:
- An entity is an object that exists and is distinguishable from other objects, with attributes that describe it. An entity set is a collection of similar entities.
- Relationships associate entities and are represented as diamonds in E-R diagrams. Cardinality constraints specify the number of entities that can participate in a relationship.
- Primary keys uniquely identify entities and foreign keys in one table reference the primary key of another table. Generalization allows entities to be grouped into supertypes and subtypes.
ER MODEL.pptx
The document discusses the entity-relationship (ER) model and relational data model for database design. It provides information on the key components of the ER model, including entities, attributes, relationships, keys, and cardinalities. It also describes how the ER model defines the conceptual view of a database using real-world entities and relationships. Additionally, it covers the basics of the relational data model, which uses tables, rows, columns, keys, and relationships between tables to organize data.
database
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Chapter3
The document describes concepts related to entity relationship modeling including:
- Entity types represent real world objects like employees, departments, etc. and have attributes.
- Relationship types define relationships between entity types like works_for between employees and departments.
- Keys uniquely identify entities and attributes can be single/multi-valued, simple/composite.
- The example models a company database with entities for departments, projects, employees and dependents along with their attributes and relationships.
Chapter3
The document describes concepts related to entity relationship modeling including:
- Entity types represent real world objects like employees, departments, etc. and have attributes.
- Relationship types define relationships between entity types like works_for between employees and departments.
- An example database schema for a company is presented with entity types for departments, projects, employees, and dependents along with attributes and relationships.
- Additional concepts covered include keys, cardinality, participation constraints, and weak entity types.
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The document discusses the key concepts of an entity-relationship (E-R) diagram including entities, attributes, and their types. An entity is a piece of data like a student or teacher that is represented in a database. Entities can be strong or weak depending on whether they have a primary key to uniquely identify them. Attributes are the properties of entities like name or age. Attributes can be simple, composite, derived, single-valued, or multi-valued. The E-R diagram provides a graphical representation of how data is organized in a database by showing the relationships between entities and their attributes.
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An entity-relationship (ER) diagram is used to design relational databases by modeling the structure and relationships of entities in the database. An ER diagram represents entities as nouns and relationships as verbs using graphical symbols like rectangles, diamonds, and lines. It is an important tool for database design, troubleshooting, and analysis across fields like software engineering, business, education, and research. The key components of an ER diagram include entities, attributes, relationships, keys, and cardinality.
Conceptual Data Modeling
Considering Company as a Mini world Problem we need to design the Database.
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Employee Info
Project Info
The Formulated Requirements are:
The company is organized into departments. Each department has a unique name, a unique number, and a particular employee who manages the department. We keep track of the start date when that employee began managing the department. A department may have several location
A department controls a number of projects, each of which has a unique name, a unique number, and a single location
We store each employee’s name, Social Security number, address, salary, sex (gender), and birth date. An employee is assigned to one department, but may work on several projects, which are not necessarily controlled by the same department. We keep track of the current number of hours per week that an employee works on each project. We also keep track of the direct supervisor of each employee (who is another employee).
We want to keep track of the dependents of each employee for insurance purposes
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This document provides an overview of entity-relationship (ER) modeling concepts for conceptual database design. It defines entities as objects with attributes, and relationships as connections between entities. Entities can have simple or composite attributes. Relationships have names, participating entity sets, degrees, and mapping cardinalities like one-to-one, one-to-many, and many-to-many. ER diagrams use shapes and lines to represent these components and show cardinalities. The document also discusses recursive relationships, participation constraints, and examples of an ER diagram for products and suppliers.
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This document introduces entity-relationship modeling, which is a popular way to design databases. It discusses key concepts such as entities, attributes, relationships, and structural constraints. Entities represent real-world objects, and attributes describe their characteristics. Relationships associate entities, and come in different degrees (binary, ternary). Structural constraints specify how many entities can participate in a relationship, such as one-to-one, one-to-many, or many-to-many relationships. Together, entities, attributes, relationships and constraints form the basis of entity-relationship modeling.
Entity Relationship Model
The entity-relationship (E-R) model is a way to graphically represent entities and relationships between entities to create a database. The E-R model employs three basic concepts: entity sets, relationship sets, and attributes. An entity set is a set of entities of the same type that share attributes. Attributes are descriptive properties of each member of an entity set. There are different types of attributes including simple/composite, single/multi-valued, derived, key, and null attributes.
Entity (types, attibute types)
An entity is a person, place, object, event or concept in the user environment about which the organization wishes to maintain data.
ERD.pptx
The document discusses the entity-relationship (E-R) model for data modeling. Some key points:
- An entity is an object that exists and is distinguishable from other objects, with attributes that describe it. An entity set is a collection of similar entities.
- Relationships associate entities and are represented as diamonds in E-R diagrams. Cardinality constraints specify the number of entities that can participate in a relationship.
- Primary keys uniquely identify entities and foreign keys in one table reference the primary key of another table. Generalization allows entities to be grouped into supertypes and subtypes.
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The document discusses the entity-relationship (ER) model and relational data model for database design. It provides information on the key components of the ER model, including entities, attributes, relationships, keys, and cardinalities. It also describes how the ER model defines the conceptual view of a database using real-world entities and relationships. Additionally, it covers the basics of the relational data model, which uses tables, rows, columns, keys, and relationships between tables to organize data.
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This presentation introduces database design using the entity-relationship model. It defines key concepts of the ER model including entities, attributes, relationships and cardinalities. It provides an example ER diagram and discusses extended features such as generalization, specialization and aggregation. The presentation was delivered to a professor by six students as part of their database management systems course.
Chapter3
The document describes concepts related to entity relationship modeling including:
- Entity types represent real world objects like employees, departments, etc. and have attributes.
- Relationship types define relationships between entity types like works_for between employees and departments.
- Keys uniquely identify entities and attributes can be single/multi-valued, simple/composite.
- The example models a company database with entities for departments, projects, employees and dependents along with their attributes and relationships.
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The document describes concepts related to entity relationship modeling including:
- Entity types represent real world objects like employees, departments, etc. and have attributes.
- Relationship types define relationships between entity types like works_for between employees and departments.
- An example database schema for a company is presented with entity types for departments, projects, employees, and dependents along with attributes and relationships.
- Additional concepts covered include keys, cardinality, participation constraints, and weak entity types.
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The document discusses the key concepts of an entity-relationship (E-R) diagram including entities, attributes, and their types. An entity is a piece of data like a student or teacher that is represented in a database. Entities can be strong or weak depending on whether they have a primary key to uniquely identify them. Attributes are the properties of entities like name or age. Attributes can be simple, composite, derived, single-valued, or multi-valued. The E-R diagram provides a graphical representation of how data is organized in a database by showing the relationships between entities and their attributes.
E-R diagram in Database
An E-R diagram is a logical representation of data in an organization that views the entire system as entities related to one another. The key elements of an E-R diagram are entities, attributes, and relationships. Entities represent people, places, things, or events and have attributes with defined domains. Relationships connect different entities and can be one-to-one, one-to-many, or many-to-many. E-R diagrams were introduced in 1976 and provide advantages like a logical structure for modeling an organization's data.
Er diagrams presentation
This presentation gives you a brief introduction about ER-Model, Entity, Attributes and other database concepts.
Er diagrams presentation
This presentation gives you a brief introduction about ER-Model, Entities, Attributes and other Database concepts.
Use analyzed requirements in the design of database.pptx
An entity-relationship (ER) diagram is used to design relational databases by modeling the structure and relationships of entities in the database. An ER diagram represents entities as nouns and relationships as verbs using graphical symbols like rectangles, diamonds, and lines. It is an important tool for database design, troubleshooting, and analysis across fields like software engineering, business, education, and research. The key components of an ER diagram include entities, attributes, relationships, keys, and cardinality.
Conceptual Data Modeling
Considering Company as a Mini world Problem we need to design the Database.
Company Database consists of:
Company Info
Employee Info
Project Info
The Formulated Requirements are:
The company is organized into departments. Each department has a unique name, a unique number, and a particular employee who manages the department. We keep track of the start date when that employee began managing the department. A department may have several location
A department controls a number of projects, each of which has a unique name, a unique number, and a single location
We store each employee’s name, Social Security number, address, salary, sex (gender), and birth date. An employee is assigned to one department, but may work on several projects, which are not necessarily controlled by the same department. We keep track of the current number of hours per week that an employee works on each project. We also keep track of the direct supervisor of each employee (who is another employee).
We want to keep track of the dependents of each employee for insurance purposes
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- 3. E-R Data Model A semantic data model, used for the graphical representation of the conceptual database design
- 4. Major Components Entities Attributes Relationships
- 5. Entity Term used to mean three different meanings Entity type Entity instance Entity set
- 6. Entity Type A name/label assigned to items/objects that exist in an environment and that have similar properties It could be person, place, event or even concept
- 7. Entity Type Distinguishable from other entity types on the basis of properties Identified through abstraction process Different from External Entity
- 8. Entity Instance & Set A particular object belonging to a particular entity type Entity Type: Employee Entity Instance: M. Sharif Entity Set: All employees
- 9. Types of Entity Types Entity types can be classified into regular/strong/independent ETs or weak/dependent ETs
- 10. Weak Entity Types An entity type whose instances cannot exist without being linked with instances of some other entity type, i.e., they cannot exist independently
- 11. Strong Entity Type A strong/regular entity type is the one whose instances can exist independently, i.e., without being linked to other instances Strong ETs have their own identity
- 12. Naming Entity Types Singular noun recommended Organization specific names Write in capitals Abbreviations can be used, be consistent
- 13. Symbols Regular Entity Type Weak Entity Type NAME NAME EMPPLOYEE DEPENDENTS BOOK BOOKCOPY
- 14. Attribute An attribute of an entity type is a defining property or quality of the instances of that entity type. Entity instances of same entity type have the same attributes. (e.g. Student Identification, Student Name)
- 15. Domain of an Attribute Every attribute has a domain Set of possible values for an attribute The attributes in an entity set get the values from the same domain
- 16. Types of Attributes Single vs composite Single valued vs multi-valued Stored vs derived
- 17. Symbols for Attributes Each represented as an oval, linked with an ET symbol
- 19. Example EMPLOYEE empId empName Experience emp_Qual street dateHired houseNo address
- 20. Thanks