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View of Data in DBMS

Last Updated: July 24, 2022 by Chaitanya Singh | Filed Under: DBMS

In this guide, you will learn view of data in DBMS.

View of data in DBMS

Abstraction is one of the main features of database systems. Hiding irrelevant details from user and providing abstract view of data to users, helps in easy and efficient user-database interaction. In the previous tutorial, we discussed the three level of DBMS architecture, The top level of that architecture is “view level”. The view level provides the “view of data” to the users and hides the irrelevant details such as data relationship, database schema, constraints, security etc from the user.

To fully understand the view of data, you must have a basic knowledge of data abstraction and instance & schema. Refer these two tutorials to learn them in detail.

  1. Data abstraction:Database systems are made-up of complex data structures. To ease the user interaction with database, the developers hide internal irrelevant details from users. This process of hiding irrelevant details from user is called data abstraction.
  2. Instance and schema: Design of a database is called the schema. Schema is of three types: Physical schema, logical schema and view schema. The data stored in database at a particular moment of time is called instance of database. Database schema defines the variable declarations in tables that belong to a particular database; the value of these variables at a moment of time is called the instance of that database.
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About the Author

I have 15 years of experience in the IT industry, working with renowned multinational corporations. Additionally, I have dedicated over a decade to teaching, allowing me to refine my skills in delivering information in a simple and easily understandable manner.

– Chaitanya

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DBMS Tutorial

Basics

  • DBMS Tutorial
  • DBMS Introduction
  • Database Applications
  • DBMS vs File System
  • DBMS vs RDBMS
  • DBMS Architecture
  • Three-level DBMS architecture
  • View in DBMS
  • Abstraction
  • Instance & Schema
  • DBMS languages

Data Models

  • Data Models
  • ER Diagram
  • ER Design issues
  • Convert ER to table
  • DBMS Generalization
  • DBMS Specialization
  • DBMS Aggregration
  • Relational Model
  • Hierarchical Model
  • Constraints
  • Cardinality

Relational Database

  • RDBMS concepts
  • Relational Algebra
  • Relational Calculus
  • Keys Index
  • Primary Key
  • Super Key
  • Candidate Key
  • Foreign Key
  • Composite Key
  • Alternate Key

Normalization

  • Normalization
  • Functional dependency

Transaction Management

  • Transaction Management
  • ACID properties
  • Transaction States
  • DBMS Schedules
  • Serializability
  • Conflict Serializability
  • View Serializability
  • Recoverability Of Schedule
  • Failure Classification
  • Log based Recovery
  • DBMS Checkpoint
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Concurrency Control

  • Concurrency Control
  • Lock based protocol
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File Organization

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  • Heap File Organization
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  • DBMS ISAM
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SQL Introduction

  • SQL Introduction
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  • SQL CREATE
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  • SQL SELECT
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