What Are Data Models?

The Data Model is an abstraction of data features. Data is a symbolic record describing things, and Model is an abstraction of the real world. The data model describes the static characteristics, dynamic behavior, and constraints of the system at an abstract level, and provides an abstract framework for the information representation and operation of the database system. The data model describes three parts: data structure, data manipulation, and data constraints.

There have been three main data models since the development of database technology: hierarchical data models, mesh data models, and relational data models. Hierarchical model developed earliest. It takes tree structure as the basic structure and its typical representative is

Data models are divided into three types according to different application levels: concept data models, logical data models, and physical data models.

In the process of data development, three basic data models have been generated, which are hierarchical models, network models, and relational models. These three models are named after their data structures. The first two use

In 2011, China established a series of data models for evaluating the potential of mineral resources. The data model for the evaluation of mineral resource potential covers the ore-forming geological background, metallogenic regularity, comprehensive information of physical (gravity, magnetic) remote and natural heavy sand, metallogenic prediction, and evaluation of coal, uranium, and chemical mineral potential, as well as the above majors Terminology, professional genealogy, code system, feature classification and attribute description, drawing layering and definition, mapping representation, spatial parameters and scales, metadata regulations, and technical requirements for summary and integration of results. ^[1]