In the year 1969, CODASYL DataBase Task Group adopted the network model and it underwent a huge update in the year 1971. Many network database systems turned hugely prevalent on minicomputers and mainframe through the 1970s before they became substituted by a relational database in the 1980s.
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The Fundamental Concepts of Network Models
Network models are considered extensions of the ranked structure as they permit many-to-many dealings that need to be managed similar to a tree-like structure which permits several parents. A couple of fundamental concepts related to network models are:
- Sets are utilized for defining one-to-many relationships that happen between records which comprise one owner and many members.
- Records comprise fields which require hierarchical organization.
- Records might work as owners in many sets and a member in any set.
Features of a Network Model
Some noteworthy features of a network model are:
- Network models represent severance in data efficiently compared to the hierarchical models.
- The operation of a network model gets preserved by indexing the construction of a linked list where programs maintain a present position. Again, it navigates from a record to another record by following some relationships where the record takes part.
- A record can be located when key values are supplied.
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Advantages of the Network Model
- Capability of managing more relationship types – Network models have the capability of managing 1:1 (one-to-one) besides many N:N (many-to-many) relationships.
- Simple and modest concept – The network model has huge similarities to the hierarchical model and this model is pretty simple. Again, you can implement it effortlessly.
- Integrity of data – When it is a network model then there is always present a connection between some child segments and their parents as it is dependent on the relationship of parent-child.
- Easy data access – You can access the data simply when you compare network models to the hierarchical models.
- Data independence – The matter of data independence is improved in a network model contrary to hierarchical models.
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