Data Models
In Data Science, a data model is a conceptual representation of data structures and the relationships between them. It defines the rules, constraints, and logical interdependencies between data elements and provides a framework for organizing and storing data. Data models can be used to facilitate communication between stakeholders, to design databases, to develop software applications, and to analyze data. There are several types of data models, including conceptual, logical, and physical models. Conceptual models provide a high-level view of the data and are used to define the scope of a project. Logical models describe the relationships between data elements and are used to create a blueprint for a database. Physical models provide a detailed view of the data and are used to implement the database on a specific platform.
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