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

DBMS Schema

Schema

  • It is a physical representation of data that appears in the database management system.
  •  In simple words, a schema is the structure of any database.
  • It defines how the data is stored in a database and relationship among those data, but it does not show the data available in those tables.
  • The database schema includes the definition of the database, record types (entities), and the components that make up those records.
  • Schema of a database does not change by performing certain operations like insertion, updation, and deletion, but it can only be modified or changed by modifying the DDL statements.
  • Database schema describes the integrity constraints of the database, domains of all attributes, foreign, and primary key of all the relations. 
  • Schema is of three types:
  1. Physical Schema: The overall design of a database at the physical level is called a physical schema. This schema describes how the data is stored in the secondary storage devices.
  2. Logical Schema: The overall design of a database at the logical level is called a logical schema. A database administrator (DBA) and the programmers used to work at this level.
  3. View Schema: The overall design of a database at a view level is called view schema. This schema generally describes the user’s interaction with the database system.

Example of Schema:

DBMS Schema

Subschema

  • A subschema is the sub-level or subset of the schema having the same features that a schema has.
  • This type of schema allows a user to view only that part of the database in which he is interested.
  • A language called the SDL (Subschema Definition Language) is used to specify a subschema in a database management system (DBMS).
  • For example: Suppose an employee table in a database where the programmer can access all fields of this table, but the user can access only two or three fields of it. Subschema describes both views of the database.

Instances

  • The data or information stored in the database at a particular moment is called an instance of the database.
  • An instance can also be called as a current state or database state.
  • The database schema defines the variables in tables that belong to a specific database; the values or records of these variables at a particular moment are called the instance of the database. 
  • Many instances can be constructed to correspond to a specific database schema.
  • Every time we insert, modify, or delete the value of data item in a record, one state of data changes into another state.

For Example:

DBMS Schema 1