The document discusses data modeling and outlines its purpose as a graphical documentation method for understanding data requirements and defining database design specifications. It details various types of data models, including conceptual, enterprise, logical, dimensional, and physical models, each with unique characteristics and applications in database design. The physical model represents the final database structure and includes detailed specifications for implementation.

1. DBMS
Zaheer uddin soomro
Data Modeling

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.

4. If Any Question
Thanks
zaheeruddinmscs@gmail.com