DBMS Concepts

DBMS Tutorial Components of DBMS. Applications of DBMS The difference between file system and DBMS. Types of DBMS DBMS Architecture DBMS Schema Three Schema Architecture. DBMS Languages.

DBMS ER Model

ER model: Entity Relationship Diagram (ERD) Components of ER Model. DBMS Generalization, Specialization and Aggregation.

DBMS Relational Model

Codd’s rule of DBMS Relational DBMS concepts Relational Integrity Constraints DBMS keys Convert ER model into Relational model Difference between DBMS and RDBMS Relational Algebra DBMS Joins

DBMS Normalization

Functional Dependency Inference Rules Multivalued Dependency Normalization in DBMS: 1NF, 2NF, 3NF, BCNF and 4NF

DBMS Transaction

What is Transaction? States of transaction ACID Properties in DBMS Concurrent execution and its problems DBMS schedule DBMS Serializability Conflict Serializability View Serializability Deadlock in DBMS Concurrency control Protocols

Difference

Difference between DFD and ERD

Misc

Advantages of DBMS Disadvantages of DBMS Data Models in DBMS Relational Algebra in DBMS Cardinality in DBMS Entity in DBMS Attributes in DBMS Data Independence in DBMS Primary Key in DBMS Foreign Key in DBMS Candidate Key in DBMS Super Key in DBMS Aggregation in DBMS Hashing in DBMS Generalization in DBMS Specialization in DBMS View in DBMS File Organization in DBMS What Is A Cloud Database What Is A Database Levels Of Locking In DBMS What is RDBMS Fragmentation in Distributed DBMS What is Advanced Database Management System Data Abstraction in DBMS Checkpoint In DBMS B Tree in DBMS BCNF in DBMS Advantages of Threaded Binary Tree in DBMS Advantages of Database Management System in DBMS Enforcing Integrity Constraints in DBMS B-Tree Insertion in DBMS B+ Tree in DBMS Advantages of B-Tree in DBMS Types of Data Abstraction in DBMS Levels of Abstraction in DBMS 3- Tier Architecture in DBMS Anomalies in Database Management System Atomicity in Database Management System Characteristics of DBMS DBMS Examples Difference between Relational and Non-Relational Databases Domain Constraints in DBMS Entity and Entity set in DBMS ER Diagram for Banking System in DBMS ER Diagram for Company Database in DBMS ER Diagram for School Management System in DBMS ER Diagram for Student Management System in DBMS ER Diagram for University Database in DBMS ER Diagram of Company Database in DBMS Er Diagram Symbols and Notations in DBMS How to draw ER-Diagram in DBMS Integrity Constraints in DBMS Red-Black Tree Deletion in DBMS Red-Black Tree Properties in DBMS Red-Black Tree Visualization in DBMS Redundancy in Database Management System Secondary Key in DBMS Structure of DBMS 2-Tier Architecture in DBMS Advantages and Disadvantages of Binary Search Tree Closure of Functional Dependency in DBMS Consistency in Database Management System Durability in Database Management System ER Diagram for Bank Management System in DBMS ER Diagram for College Management System in DBMS ER Diagram for Hotel Management System in DBMS ER Diagram for Online Shopping ER Diagram for Railway Reservation System ER Diagram for Student Management System in DBMS Isolation in DBMS Lossless Join and Dependency Preserving Decomposition in DBMS Non-Key Attributes in DBMS Data Security Requirements in DBMS DBMS functions and Components What is Homogeneous Database? DBMS Functions and Components Advantages and Disadvantages of Distributed Database Relational Database Schema in DBMS Relational Schema Transaction Processing in DBMS Discriminator in DBMS

ER Model: Entity Relationship Diagram (ERD) with Examples

ER model stands for Entity-Relationship Model. It is a high-level data model diagram which defines the conceptual view of the database. It is a blueprint or design of a database that will be used to implement a database in the future. Entity-Relationship model is based on objects, called entities, and relationship among these entities. While formulating real-world scenario into the database model, the Entity-Relationship Model creates relationship set, entity set, general attributes, and constraints.

Features of ER Model

  • This model is widely used to develop the initial design of the database.
  • This model provides a collection of basic concepts which can be easily implemented in a database system.
  • It describes data as a set of entities, attributes, and relationships.
  • It provides the graphical or conceptual view of the database design.

What is an Entity-Relationship Diagram?

An ERD or Entity-Relationship Diagram is the graphical representation of objects (entities) and relationship among those entities in the database. In other words, the ER diagram describes the logical structure of the database. It includes many special symbols, and its meanings make this model unique. For good database design, it is important to have an ER diagram.

            A Simple Entity-Relationship Diagram

ER Model

Entity-Relationship Diagram Symbols or Notations

Uses of Entity-Relationship Model:

  • ER models can be used in designing the database.
  • It provides useful concepts that allow a user to move from an informal description to precise description.
  • This model or diagram was developed to facilitate database design by allowing the specification of the overall conceptual structure of a database.
  • It is widely useful in mapping the meanings and interactions of real world enterprises onto a conceptual schema.
  • These models can be used for the logical or conceptual design of database applications.

Advantages of ER Model

  • Entity-Relationship Diagram or model is easy to create and understand. 
  • Entity-Relationship Model is very simple because if you know the relationship between attributes and entities, you can easily draw it.
  • It is a tool for effective communication for database designer.
  • It can be easily converted into a Relational Model by simply converting the ER Model into tables.

Limitations/Disadvantages of ER Diagram

Disadvantages of an Entity-Relationship Diagram include the following aspects:

  • Entity-Relationship diagram is not suitable for those systems which contain semi-structured or unstructured data set.
  • In the ER model, it is difficult to show data manipulation.

This model is especially popular for high-level design.