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- The Network Model allows the representation of many-to-many relationships in a more flexible and complex structure compared to the Hierarchical Model.
- It uses a graph structure consisting of nodes (entities) and edges (relationships) to organize data, enabling more efficient and direct access paths.
- This model replaces the hierarchical tree with a graph-like structure, allowing more general connections among different nodes. It supports many-to-many (M:N) relationships, where a record can have more than one parent segment.
- In the Network Model, a relationship is called a set, and each set consists of at least two types of records:
- Owner Record: Equivalent to the parent in the Hierarchical Model.
- Member Record: Equivalent to the child in the Hierarchical Model.
- The model allows both lateral and top-down connections between nodes, making it more flexible than the strictly hierarchical structure.
- It supports 1:1, 1:M, and M:N relationships, which helps avoid data redundancy issues by allowing multiple paths to the same record.
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Data Relationship Representation:
The network model uses a graph structure to represent data relationships. It allows many-to-many relationships, providing greater flexibility in how data is connected. -
Records and Sets:
Data in a network model is organized into records (similar to rows in a relational table) and sets (defining relationships between records, akin to links in a graph). -
Owner-Member Relationships:
The model defines relationships using owner-member pairs, where an owner record can be linked to multiple member records, and a member record can belong to multiple owner records. This structure supports complex relationships. -
Navigational Access:
The network model supports navigational data access, where records are accessed through predefined paths, unlike relational models which use declarative query languages like SQL. -
Hierarchical and Non-Hierarchical Structures:
The network model can represent both hierarchical (tree-like) and non-hierarchical (graph-like) structures, offering greater flexibility in data modeling.
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Insertion:
Adding new records and establishing owner-member relationships. -
Deletion:
Removing records while maintaining data integrity by handling related records and relationships. -
Update:
Modifying existing records and the relationships between them. -
Traversal:
Navigating through the network structure to access related records using predefined paths. -
Search:
Retrieving specific records based on criteria by navigating the network structure.
- Handles multiple types of relationships: 1:1, 1:M, and M:N.
- Facilitates easy access to data, allowing applications to retrieve both owner and member records within the same set.
- Enforces data integrity by not allowing a member to exist without an owner.
- Supports multi-parent relationships, providing flexibility in data modeling.
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Complex Schema:
The use of pointers to maintain records leads to operational complexities and potential anomalies. -
Lack of Query Optimization:
The network model does not support automated query optimization, leading to inefficiencies in query processing. -
Structural Dependence:
Despite being capable of achieving data independence, the model still fails to achieve structural independence due to its reliance on physical storage paths.