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DBMS
Zaheer uddin soomro
Data Modeling
Data Model
 Graphical documentation of Data
requirement is called data model.
 It is used to confirm understanding of
data requirement
 A data model is a graphical means of
documenting data requirements and
defining database design specifications.
Types of data model
 Conceptual model,
◦ Think of the conceptual model as an architect’s conceptual drawing
of a house. It provides a good idea of what is required with very
little additional detail;
 Enterprise data model /Global Business Model
◦ Enterprise Data Modeling is the practice of creating a
graphical model of the data used by an enterprise or company.
 Logical model,
◦ detailed representation of some or all of an organization's data;
 Dimensional Model,
◦ techniques and concepts used in data warehouse design.
◦ dimensions are groups of hierarchies and descriptors that define
the facts. For example, sales amount is a fact; timestamp, product,
register#, store#, etc. are elements of dimensions
 Physical Model,
◦ is the final representation of the data base structures that will be
generated from the model. It contains the detailed specifications
for the database design and, in a model driven environment, the
modeling tool will generate the data definition language (DDL) that
is used to create the database structure.
If Any Question
Thanks
zaheeruddinmscs@gmail.com

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Data modeling dbms

  • 2. Data Model  Graphical documentation of Data requirement is called data model.  It is used to confirm understanding of data requirement  A data model is a graphical means of documenting data requirements and defining database design specifications.
  • 3. Types of data model  Conceptual model, ◦ Think of the conceptual model as an architect’s conceptual drawing of a house. It provides a good idea of what is required with very little additional detail;  Enterprise data model /Global Business Model ◦ Enterprise Data Modeling is the practice of creating a graphical model of the data used by an enterprise or company.  Logical model, ◦ detailed representation of some or all of an organization's data;  Dimensional Model, ◦ techniques and concepts used in data warehouse design. ◦ dimensions are groups of hierarchies and descriptors that define the facts. For example, sales amount is a fact; timestamp, product, register#, store#, etc. are elements of dimensions  Physical Model, ◦ is the final representation of the data base structures that will be generated from the model. It contains the detailed specifications for the database design and, in a model driven environment, the modeling tool will generate the data definition language (DDL) that is used to create the database structure.