Data Models in Database Systems

Data Modeling

Process of creating a specific data model.

Data Model

Simple representation of complex real-world data.

Database Designer

Professional who creates data models and databases.

Communication Tool

Data models facilitate understanding among stakeholders.

Database Blueprint

Overall design based on an appropriate data model.

Entity

Person, place, thing, concept, or event in data.

Attribute

Characteristic or property of an entity.

Relationship

Association among entities in a data model.

One-to-Many Relationship

One entity relates to multiple entities (1:M).

Many-to-Many Relationship

Multiple entities relate to multiple entities (M:N).

One-to-One Relationship

One entity relates to one entity (1:1).

Constraint

Restriction placed on data to ensure integrity.

Data Integrity

Accuracy and consistency of data over its lifecycle.

Salary Constraint

Employee salary must be between 6,000 and 350,000.

Final Mark Constraint

Student's mark must be between 50% and 74% to pass.

Iterative Process

Data modeling involves repeated refinement and improvement.

Data Transformation

Converting raw data into meaningful information.

Application Programmer

Developer who creates applications to manage data.

End User

Person who interacts with the database application.

Progressive Process

Data modeling evolves through successive stages.

Data Modeling Constructs

Tools and frameworks used in database design.

Business Rule

A precise description of organizational policies.

Entity

An object of interest in a database.

Attribute

A characteristic that describes an entity.

Relationship

Association between two entities in a database.

Tuple

A row in a relational database table.

RDBMS

Relational Database Management System for data management.

ER Model

Entity-Relationship model for database design.

ERD

Entity Relationship Diagram representing database components.

Naming Convention

Descriptive naming for entities and attributes.

One-to-Many Relationship

A single entity relates to multiple entities.

Hadoop

Java-based framework for distributed data storage.

NoSQL

Database system for structured and unstructured data.

Big Data

Management of large volumes of data.

3 Vs of Big Data

Volume, velocity, and variety of data.

SQL Engine

Executes queries in SQL-based databases.

External Model

User's view of the data environment.

Conceptual Model

Global view of the entire database.

Internal Model

Database representation as seen by DBMS.

Physical Model

Lowest level describing data storage methods.

Logical Design

Creating a conceptual data model.

Data Abstraction Levels

External, conceptual, internal, and physical models.

Generate Relationship

Association where one entity produces another.

Fault Tolerance

System's ability to continue operation despite failures.

Data Model

Framework for organizing and structuring data.

Data Constraints

Rules that limit the type of data.

Communication Tool

Facilitates dialogue between users and designers.

Data Model Components

Entities, attributes, relationships, and constraints.

Data Security Constraints

Rules ensuring data protection in databases.

Physical Independence

Changing physical model without affecting internal model.

Data Model

Simple representation of complex data structures.

Database Designer

Professional who creates and manages databases.

Entity

Person, place, thing, or concept for data.

One-to-Many Relationship

One entity relates to multiple entities.

Many-to-Many Relationship

Multiple entities relate to multiple entities.

One-to-One Relationship

One entity relates to exactly one entity.

Constraint

Restriction placed on data for integrity.

Business Rule

Policy or principle defining data usage.

Entity Relationship Model (ERM)

Graphical representation of entities and relationships.

Entity Relationship Diagram (ERD)

Visual tool for modeling database components.

Hadoop

Open-source framework for distributed data storage.

Big Data

Large-scale data management and analysis movement.

Tuple

Row in a relational database table.

Attribute in Relational Model

Column representing data characteristics.

External Model

End users' view of the data environment.

Physical Model

Describes data storage on physical media.

Data Integrity

Accuracy and consistency of data over time.

Mapping Business Rules

Translating rules into data model components.

Naming Conventions

Standardized naming for entities and attributes.

Data Environment

Overall structure and organization of data.

Data Blueprint

Framework guiding database design and implementation.

Communication Tool

Facilitates understanding between users and designers.

ER Notations

Different graphical representations in ER modeling.

Logical Independence

Changing internal model without affecting conceptual model.

Data Management Tools

Software for organizing and handling data.

Data Modeling Constructs

Frameworks used in the data modeling process.