Database Schema Types and Their Characteristics, Summaries of Database Programming

An overview of the three main types of database schemas: conceptual, logical, and physical. Conceptual schemas offer a high-level, big-picture view of the system, focusing on business requirements and rules. Logical schemas define the specific schema objects, such as table names, field names, and entity relationships, but without technical details. Physical schemas add the technical information needed to create the data structures within the storage system. The key differences between these schema types and their respective purposes in the database design process. Understanding these schema concepts is crucial for effectively designing and implementing database systems that meet the organization's needs.

Typology: Summaries

2021/2022

Uploaded on 04/25/2022

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While the term schema is broadly used, it is commonly referring to three different schema types—a
conceptual database schema, a logical database schema, and a physical database schema.
Conceptual schemas offer a big-picture view of what the system will contain, how it will be organized,
and which business rules are involved. Conceptual models are usually created as part of the process of
gathering initial project requirements.
Logical database schemas are less abstract, compared to conceptual schemas. They clearly define
schema objects with information, such as table names, field names, entity relationships, and integrity
constraints—i.e. any rules that govern the database. However, they do not typically include any technical
requirements.
Physical database schemas provide the technical information that the logical database schema type
lacks in addition to the contextual information, such as table names, field names, entity relationships, et
cetera. That is, it also includes the syntax that will be used to create these data structures within disk
storage.

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While the term schema is broadly used, it is commonly referring to three different schema types—a conceptual database schema, a logical database schema, and a physical database schema. Conceptual schemas offer a big-picture view of what the system will contain, how it will be organized, and which business rules are involved. Conceptual models are usually created as part of the process of gathering initial project requirements. Logical database schemas are less abstract, compared to conceptual schemas. They clearly define schema objects with information, such as table names, field names, entity relationships, and integrity constraints—i.e. any rules that govern the database. However, they do not typically include any technical requirements. Physical database schemas provide the technical information that the logical database schema type lacks in addition to the contextual information, such as table names, field names, entity relationships, et cetera. That is, it also includes the syntax that will be used to create these data structures within disk storage.