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
﷽
By:
Saeed-ul-Hussain
Mehfooz Ahmad
Waleed Ahmad
Hussnain Tahir

 The ANSI-SPARC Architecture is a conceptual
framework for designing and organizing database
management systems (DBMS).
 It was proposed by the Standards Planning and
Requirements Committee (SPARC) of the American
National Standard Institute in the late 1970s.
 ANSI-SPARC Architecture provides a clear and
organized way to understand the complexities of
database systems.
Introduction

Levels
External
Conceptual
Internal

The External Level represents the user view of
the database.
It defines how individual users or user groups
perceive data.
External schemas provide a customized view of
the data, hiding unnecessary details and
complexities
Changes to external schemas do not affect other
users or the overall database structure.
External level

The Conceptual Level describes the
community view of the database.
It defines the structure, constraints, and
relationships of the data stored in the
database.
Changes to the conceptual schema impact the
entire database and all external schemas.
Conceptual level

 The internal level deals with the physical storage
and organization of data.
 It defines how data is stored, indexed, and accessed
within the system.
 Changes to the internal schema do not affect external
views but may impact performance.
Internal level

Separation of concerns
Data independence
Flexibility
Advantages

 The ANSI-SPARC Architecture provides a solid
foundation for designing robust and flexible
database systems.
 By understanding the three levels and their
interactions, database designers can create efficient
and maintainable solutions.
Conclusion
ANSI-SPARC Architecture and its type .pptx

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ANSI-SPARC Architecture and its type .pptx

  • 3.   The ANSI-SPARC Architecture is a conceptual framework for designing and organizing database management systems (DBMS).  It was proposed by the Standards Planning and Requirements Committee (SPARC) of the American National Standard Institute in the late 1970s.  ANSI-SPARC Architecture provides a clear and organized way to understand the complexities of database systems. Introduction
  • 5.  The External Level represents the user view of the database. It defines how individual users or user groups perceive data. External schemas provide a customized view of the data, hiding unnecessary details and complexities Changes to external schemas do not affect other users or the overall database structure. External level
  • 6.  The Conceptual Level describes the community view of the database. It defines the structure, constraints, and relationships of the data stored in the database. Changes to the conceptual schema impact the entire database and all external schemas. Conceptual level
  • 7.   The internal level deals with the physical storage and organization of data.  It defines how data is stored, indexed, and accessed within the system.  Changes to the internal schema do not affect external views but may impact performance. Internal level
  • 8.  Separation of concerns Data independence Flexibility Advantages
  • 9.   The ANSI-SPARC Architecture provides a solid foundation for designing robust and flexible database systems.  By understanding the three levels and their interactions, database designers can create efficient and maintainable solutions. Conclusion