Physical and logical database design

Updated on May 2, Doc navigation. It is called a star schema because the diagram of a star schema resembles a star, with points radiating from a center. Notice that only conceptual ERD supports generalization.

Most data warehouses use a dimensional model. In dimensional modeling, instead of seeking to discover atomic units of information and all of the relationships between them, you try to identify which information belongs to a central fact table s and which information belongs to its associated dimension tables.

Feedback documentation of users. Conceptual, logical and Physical data model Conceptual, logical and Physical data model Conceptual, logical and physical model or ERD are three different ways of modeling data in a domain. Unique identifiers become columns that are not allowed to have NULL values.

The diagrams produced should show the processes and data that exists, as well as the relationships between business processes and data.

Difference Between Logical and Physical Database Model

Making primary keys of type INT is almost purely arbitrary. Logical database models basically determine if all the requirements of the business have been gathered. User feedback documentation Database design documentation Conclusion Understanding the difference between logical and physical modeling will help you build better organized and more effective database systems.

Views can be created from database tables to summarize data or to simply provide the user with another perspective of certain data. Physical Database Model Physical database modeling deals with designing the actual database based on the requirements gathered during logical database modeling.

Table names should therefore conform to SQL naming rules. The available hardware is also important during the implementation of the physical model because data is physically distributed onto one or more physical disk drives.

Logical database modeling is mainly for gathering information about business needs and does not involve designing a database; whereas physical database modeling is mainly required for actual designing of the database. Physical database modeling depends upon the software already being used in the organization.

Attributes become columns in the physical database. A well-planned design allows for growth and changes as the needs of users change and evolve. Tables and columns are made according to the information provided during logical modeling.

You just approach it differently. A schema is a collection of database objects. You do not deal with the physical implementation details yet; you deal only with defining the types of information that you need.

Updated on May 2, Doc navigation. Objects in the same schema can use storage in different tablespaces, and a tablespace can hold contain storage from different schemas.

Without this categorization, accessing different files within a computer would take additional time as the system searched each file for the appropriate match. Physical Database Definition A physical database is both the actual device housing the information files and the search paths used to access information between each source.

Implementation of the Physical Model The implementation of the physical model is dependent on the hardware and software being used by the company. Schema objects can be created and manipulated using SQL.

Logical and Physical Database Requirements

The elements that help you to determine the data warehouse schema are the model of your source data and your user requirements. Additionally, some database systems have objects that are not available in other database systems.

You can create the logical design using a pen and paper, or you can use a design tool such as Oracle Warehouse Builder or Oracle Designer.

Server model diagram—It includes tables and columns and different relationships that exist within a database.

Conceptual, logical and Physical data model

Constraints are also defined, including primary keys, foreign keys, other unique keys, and check constraints. Print Article Logical Modeling Logical modeling deals with gathering business requirements and converting those requirements into a model. Logical Database Requirements A logical database can stretch over multiple physical hard disks and information files.

Logical Versus Physical Database Modeling

Logical Database Requirements A logical database can stretch over multiple physical hard disks and information files.

A general understanding to the three models is that, business analyst uses conceptual and logical model for modeling the data required and produced by system from a business angle, while database designer refines the early design to produce the physical model for presenting physical database structure ready for database construction.

Figure Star Schema Unlike other database structures, in a star schema, the dimensions are denormalized. Some software products now are Java-based and can run on virtually any platform.

Physical Database Design

A schema is the set of metadata data dictionary used by the database, typically generated using DDL. This means that an accurate use of data type is needed for entity columns and the use of reserved words has to be avoided in naming entities and columns.

Physical If you are reading this guide, it is likely that your organization has already decided to build a data warehouse. An attribute is a component of an entity and helps define the uniqueness of the entity.

Jul 22,  · Logical vs Physical Database Model. Logical and physical database models are required in order to visually present the database that has been proposed for a certain business requirement.

The models help in showing the association of business requirements and the database 5/5(1). A logical schema is a design-centric database structure built to meet your business requirements.

It is a model that exists on a white board or in a diagraming tool. It is like the architect's drawings of your database. Physical modeling involves the actual design of a database according to the requirements that were established during logical modeling.

Logical modeling mainly involves gathering the requirements of the business, with the latter part of logical modeling directed toward the goals and requirements of the database. In this step, you create the logical and physical design for the data warehouse and, in the process, define the specific data content, relationships within and between groups of data, the system environment supporting your data warehouse, the data transformations required, and the frequency with which data is refreshed.

So, database design is the process of transforming a logical data model into an actual physical database. Technicians sometimes leap to the physical implementation before producing the model of that implementation. 2 Overview of Logical Design. This chapter tells how to design a data warehousing environment, and includes the following topics: Logical vs.


Physical and logical database design
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Overview of Physical Design