What are traditional data models?

There are three traditional basic data models:

1. Hierarchical Model

Hierarchical model is a tree-structured model that organizes data in a natural hierarchy to reflect the affiliation between data. Hierarchical model is the earliest development of database technology, a technically mature data model. It is characterized by geographic data organized into a directed and ordered tree structure, also called a tree structure. The nodes in the structure represent data records, and the connecting lines describe the subordinate relationships (one-to-many relationships) between data located at different nodes.

2, mesh data model

The mesh model organizes the data into a directed graph structure, the nodes in the graph represent the data records, and the connecting line describes the link between the data at different nodes. The basic feature of this data model is that there is no clear subordinate relationship between the node data, a node can be connected to more than one other node, i.e., the connection between the nodes is arbitrary, and any two nodes can be connected to each other, which can represent a many-to-many relationship.

3, relational data model

Because of the simple structure of the relational database, easy to operate, there is a solid theoretical foundation, so the development is very fast, after the 80's the introduction of the database management system is almost all relational. The basics involved are: the logical data structure of the relational model, table operators, table integrity rules and views, paradigm concepts.

The relational model can represent various entities and their relationships simply and flexibly, and its data description has strong consistency and independence. In a relational database system, the manipulation of data is realized through relational algebra with a strict mathematical basis.