Your SlideShare is downloading. ×
Degrees of data abstraction
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Degrees of data abstraction


Published on

Published in: Technology

  • Be the first to comment

  • Be the first to like this

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

No notes for slide


  • 1.  American National Standard Institute (ANSI) Standards Planning and Requirements Committee (SPARC)Defined a framework for data modelling based on degrees of data abstraction.
  • 2. Defines three levels of abstraction: external conceptual internal
  • 3.  Is the end user’s view of the data environment. The term end user’s refers to the people who use the application programs to manipulate the data and generate information.
  • 4.  A specific representation of an external view is known as an external schema. Each external schema includes the appropriateness entities, relationships, processes, and constraints imposed by the business unit.
  • 5.  It makes it easy to identify specific data required to support each business unit’s operations.
  • 6.  It makes the designer’s job easy by providing feedback about the model’s adequacy.
  • 7.  It helps to ensure security constraints in the database design. Damaging an entire database is more difficult when each business unit works with only a subset of data.
  • 8.  It makes application program development much simpler.
  • 9.  The conceptual model represents as a global view of the entire database as viewed by the entire organization.
  • 10.  Conceptual model integrates all external views (entities, relationships, constraints, and processes) into single global of a data. Also known as conceptual schema
  • 11.  First, it provides a relatively easily bird’s eye (macro level) view of the data environment.
  • 12.  Second, the conceptual model is independent of both software and hardware.
  • 13. 1. Software independence means that the model does not depend on the DBMS software used to implement the model.2. Hardware independence means that the model does not depend on the hardware used in the implementation of the model.
  • 14.  Generally, the term logical design is used to refer to the task of creating a conceptual data model that could be implemented in any DBMS.
  • 15.  Once a specific DBMS has been selected, the internal model maps the conceptual model to the DBMS.
  • 16.  The internal model is the representation of the database as seen by the DBMS.
  • 17.  Internal model depends on specific database software, it is said to be the software dependent.
  • 18.  Internal model is still hardware-independent because it is unaffected by the choice of the computer on which the software is installed.
  • 19.  This lowest level of data abstraction is concerned exclusively with physical storage methods.
  • 20.  Early data models forced the database designer to take the details of the physical model’s data storage requirements into account
  • 21.  However, the now dominant relational model is aimed largely at the logical rather than the physical level; therefore it does not require the physical-level details common to its predecessors.