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Three Level Architecture
Proposal for DBMS
UNIT-I
Prepared by: Asst. Prof. Neha
A. Sahuji.
MIT CIDCO, AURANGABAD.
What is Database Architecture?
 DBMS architecture helps in design,
development, implementation, and
maintenance of a database.
 A database stores critical
information for a business.
Selecting the correct Database
Architecture helps in quick and
secure access to this data.
This architecture has three
levels:
1. External level
2. Conceptual level
3. Internal level
External Level / View
Level
 It is also called view level. The reason this
level is called “view” is because several users
can view their desired data from this level
which is internally fetched from database with
the help of conceptual and internal level
mapping.
 The user doesn’t need to know the database
schema details such as data structure, table
definition etc. user is only concerned about
data which is what returned back to the view
level after it has been fetched from database
(present at the internal level).
Conceptual Level /
Logical level
It is also called logical level. The
whole design of the database such as
relationship among data, schema of
data etc. are described in this level.
Database constraints and security are
also implemented in this level of
architecture. This level is maintained
by DBA (database administrator).
Internal Level /
Physical Level
This level is also known as physical
level. This level describes how the
data is actually stored in the storage
devices.
This level is also responsible for
allocating space to the data. This is the
lowest level of the architecture.
3-tier schema is an extension of the 2-tier
architecture. 3-tier architecture has following
layers
1.Presentation layer (your PC, Tablet, Mobile,
etc.)
2.Application layer (server)
3.Database Server
The goal of Three-tier architecture is:
1. To separate the user applications and
physical database.
2. Proposed to support DBMS
characteristics.
3. Program-data independence.
4. Support of multiple views of the data.
3Tier_Architecture.pptx
3Tier_Architecture.pptx

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3Tier_Architecture.pptx

  • 1. Three Level Architecture Proposal for DBMS UNIT-I Prepared by: Asst. Prof. Neha A. Sahuji. MIT CIDCO, AURANGABAD.
  • 2. What is Database Architecture?  DBMS architecture helps in design, development, implementation, and maintenance of a database.  A database stores critical information for a business. Selecting the correct Database Architecture helps in quick and secure access to this data.
  • 3.
  • 4. This architecture has three levels: 1. External level 2. Conceptual level 3. Internal level
  • 5. External Level / View Level  It is also called view level. The reason this level is called “view” is because several users can view their desired data from this level which is internally fetched from database with the help of conceptual and internal level mapping.  The user doesn’t need to know the database schema details such as data structure, table definition etc. user is only concerned about data which is what returned back to the view level after it has been fetched from database (present at the internal level).
  • 6. Conceptual Level / Logical level It is also called logical level. The whole design of the database such as relationship among data, schema of data etc. are described in this level. Database constraints and security are also implemented in this level of architecture. This level is maintained by DBA (database administrator).
  • 7. Internal Level / Physical Level This level is also known as physical level. This level describes how the data is actually stored in the storage devices. This level is also responsible for allocating space to the data. This is the lowest level of the architecture.
  • 8. 3-tier schema is an extension of the 2-tier architecture. 3-tier architecture has following layers 1.Presentation layer (your PC, Tablet, Mobile, etc.) 2.Application layer (server) 3.Database Server
  • 9. The goal of Three-tier architecture is: 1. To separate the user applications and physical database. 2. Proposed to support DBMS characteristics. 3. Program-data independence. 4. Support of multiple views of the data.