This document describes the three level architecture of a database management system (DBMS): the external, conceptual, and internal levels. The external level defines different views of the database for users. The conceptual level defines the logical structure and relationships of the entire database. The internal level defines the physical storage and implementation of the data. The document also discusses logical and physical data independence, which refer to the ability to modify schemas at different levels without affecting higher levels.
It includes:
Introduction to Database Management System
DBMS vs File System
View of data
Data models
Database Languages: DML, DDL
Database users and administrators
Transaction Management
Database System Structure
Application architectures
● Data Modeling and Data Models.
● Business Rules (Translating Business Rules into Data Model Components).
● Emerging Data Models: Big Data and NoSQL.
● Degrees of Data Abstraction (External, Conceptual, Internal and Physical model).
Dbms architecture
Three level architecture is also called ANSI/SPARC architecture or three schema architecture
This framework is used for describing the structure of specific database systems (small systems may not support all aspects of the architecture)
In this architecture the database schemas can be defined at three levels explained in next slide
It includes:
Introduction to Database Management System
DBMS vs File System
View of data
Data models
Database Languages: DML, DDL
Database users and administrators
Transaction Management
Database System Structure
Application architectures
● Data Modeling and Data Models.
● Business Rules (Translating Business Rules into Data Model Components).
● Emerging Data Models: Big Data and NoSQL.
● Degrees of Data Abstraction (External, Conceptual, Internal and Physical model).
Dbms architecture
Three level architecture is also called ANSI/SPARC architecture or three schema architecture
This framework is used for describing the structure of specific database systems (small systems may not support all aspects of the architecture)
In this architecture the database schemas can be defined at three levels explained in next slide
Dbms Notes Lecture 2 : Levels of Data AbstractionBIT Durg
Data Abstraction, levels of data abstraction, ANSI/ SPARC 3 level architecture, Schema and instance, Data Independence, physical data independence, logical data independence
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2. Index
Architecture of DBMS
Three levels of Architecture
External Level
Conceptual Level
Internal Level
Data Independence
Logical Data Independence
Physical Data Independence
3. Architecture of DBMS
There are following three levels or layers of DBMS
architecture:
External Level
Conceptual Level
Internal Level
5. EXTERNAL LEVEL (highest level)
The user’s view of the database.
Consists of a number of different external views of the DB.
Describes part of the DB for particular group of users.
Provides a powerful and flexible security mechanism by
hiding parts of the DB from certain users.
The user is not aware of the existence of any attributes that
are missing from the view.
It permits users to access data in a way that is customized
to their needs, so that the same data can be seen by
different users in different ways, at the same time.
6. CONCEPTUAL LEVEL
The logical structure of the entire database as seen by DBA.
What data is stored in the database.
The relationships among the data.
Complete view of the data requirements of the
organization, independent of any storage consideration.
It Represents:
entities, attributes, relations
constraints on data
semantic information on data
security, integrity information
Supports each external view: any data available to a user
must be contained in, or derivable from the conceptual
level.
7. INTERNAL LEVEL
Physical representation of the DB on the computer.
How the data is stored in the database?
Physical implementation of the DB to achieve optimal
runtime performance and storage space utilization.
Storage space allocation for data and indexes
Record description for storage
Record placement
Data compression, encryption
PHYSICAL LEVEL
Managed by the OS under the direction of the DBMS.
8. DATA INDEPENDENCE
The ability to modify a scheme definition in one level
without affecting a scheme definition in a higher level
is called data independence.
There are two kinds:
Logical data independence
Physical data independence
9. Logical data independence
The ability to modify the conceptual scheme without
causing application programs to be rewritten.
The change would be absorbed by the mapping
between the external and conceptual levels.
Usually done when logical structure of database is
altered.
10. Physical data independence
The ability to modify the internal scheme without
having to change the conceptual or external schemas.
Modifications at this level are usually to improve
performance.