Data modeling is a process of structuring and organizing data in a database management system. It defines how data is organized and poses constraints on the structure. A data model describes the data structures and how the data is organized. For example, in a database management system. Generic data modeling represents entities, relationships between entities, and individual instances of entities. It follows rules such as representing relationships to other entity types and naming entity types based on their underlying nature.

1. What is Data Modeling?

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• Data Modeling is a process of structuring and organizing data
and in a Database Management System these data structures are
implemented. They also pose some limitations or constraints
within the structure other than organizing and defining the data.
• Managing bulk of organized and unstructured Data are a
primary function of information systems. Structured data for
storage in relational databases, another database management
system. There is no description of word data like data processing,
pictures, digital audio, video, etc. Logical data model can contain
such designs.

3. • Data Model:
It is actually given into 2 parts the description of data structures and
the way it is organized. For instance: database management system.
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• Data Structure:
Describing the data structure with a given domain by implication,
structure of the domain itself together comprises of the data model.
A dedicated grammar is specified for a dedicated artificial language
with respect to that domain by the data model.
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4. • Generic Data Modeling:
•Generic data modeling has the following characteristics:
•A class, relationships, individual thing are some of the
generic entities the data model consist of.
•Individual thing or one of its subtypes is an example of
every generic entity
•Using an explicit relationship classifies every individual
thing classified by a kind of thing class.
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5. • Set of Rules Followed By Generic Data Model:
1. Representing relationships to other entity types are assigned to
candidate attributes.
2. Representation of entity types are named after underlying nature
not the role it plays in a particular context.
3. Within a database or an exchange file do have entities of local
identifier.
4. Entity types representations are event effective, activities along
with relationships.
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