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A physical data model represents the structure of a database, defining how data is stored, organized, and accessed at the physical level. It provides a detailed view of the database schema, specifying tables, columns, data types, relationships, indexes, and constraints.
Learn the differences between a logical data model and a physical data model, how they are used, and how they work together. Get the guide now.
A physical data model specifies how the data model will be built in the database. It outlines all table structures, including column name, data types, column constraints, primary key and foreign key with indexes to the relevant table column, relationships between tables, stored procedures, and views.
The physical data model is the final stage in the data modeling process. This model describes the technical details of how data will be arranged within a DBMS. The physical model is tailored to a certain DBMS such as MySQL, SQL Server, or Oracle, whereas the logical model is neutral across various systems.
A physical data model introduces the database-specific context missing in conceptual and logical data models. It represents the tables, columns, data types, views, constraints, indices and procedures within the database and/or the information communicated during computer processes.
Data Modeling Explained: Conceptual, Logical, & Physical. Data modeling is the process of planning a structure to represent how information and relationships between information will be stored in your system.
Physical data models provide in-depth details that help database administrators and developers implement the business logic on a physical database. These models offer additional attributes not specified in a logical data model, such as triggers, stored procedures, and data types.
The physical data model (PDM) is about how your data will be physically stored, structured, and securely accessed, and it’s optimized for the specific cloud data platform or on-premises database. PDMs ensure optimal configuration for cost, scale, storage, and performance.
Physical data modeling is the last of three stages (or types) of data modeling used to facilitate database design. It’s considered a data modeling best practice to adopt a linear approach to the stages.
Physical data model includes all required tables, columns, relationships, database properties for the physical implementation of databases. Database performance, indexing strategy, physical storage and de-normalization are important parameters of a physical model.