During physical modeling, objects are defined at a level called a schema level. There are two data models, logical and physical. Once the information is compiled, reports and diagrams are made, including these: ERD—Entity relationship diagram shows the relationship between different categories of data and shows the different categories of data required for the development of a database.
Materialized Views Tablespaces A tablespace consists of one or more datafiles, which are physical structures within the operating system you are using. Resolve many-to-many relationships. Primary keys, unique keys, and foreign keys are defined in order to provide constraints.
In the following paragraphs I will try to outline what makes up the differences between logical and physical design of a network There are numerous types of models used for different reasons, including logical and physical models.
For example, each month, one month's worth of data can be assigned its own partition. Because a tablespace is the coarsest granularity for backup and recovery or the transportable tablespaces mechanism, the logical business design affects availability and maintenance operations.
Typically, you partition based on transaction dates in a data warehouse. Physical Data Dictionary is created while database desing and implementation and should be maintained thougout the whole system lifecycle, as database schema evolves.