Theories are formulated to explain, predict, and understand phenomena and, in many cases, to challenge and extend existing knowledge within the limits of critical bounding assumptions. The theoretical framework is the structure that can hold or support a theory of a research study.
A conceptual schema is a high-level description of a business's informational needs. It typically includes only the main concepts and the main relationships among them. ... The conceptual model is also known as the data model as data model can be used to describe the conceptual schema when a database system is implemented.
Working Model is an engineering simulation software product by Design Simulation Technologies, Inc.. Virtual mechanical components, such as springs, ropes, and motors are combined with objects in a 2D working space.
The steps for physical data model design are as follows:
Physical model (most commonly referred to simply as a model but in this context distinguished from a conceptual model) is a smaller or larger physical copy of an object. The object being modelled may be small (for example, an atom) or large (for example, the Solar System).
A conceptual model is a representation of a system, made of the composition of concepts which are used to help people know, understand, or simulate a subject the model represents. Some models are physical objects; for example, a toy model which may be assembled, and may be made to work like the object it represents.
This phase is called conceptual design. The result of this phase is an Entity-Relationship (ER) diagram or UML class diagram. It is a high-level data model of the specific application area. It describes how different entities (objects, items) are related to each other.
Features of conceptual data model include:
Instead of having all the data in a list with a random order, a database provides a structure to organize the data. One of the most common data structures is a database table. A database table consists of rows and columns. A database table is also called a two-dimensional array.
A physical database model shows all table structures, including column name, column data type, column constraints, primary key, foreign key, and relationships between tables. Features of a physical data model include: Specification all tables and columns. Foreign keys are used to identify relationships between tables.
An Iconic Model is a look-alike representation of some specific entity. (e.g. a house) Classification. Iconic Models can be represented in: - Two Dimensions : e.g. photos, drawings, etc.
This internal working model is a cognitive framework comprising mental representations for understanding the world, self and others.
A conceptual framework is an analytical tool with several variations and contexts. It is used to make conceptual distinctions and organize ideas. Strong conceptual frameworks capture something real and do this in a way that is easy to remember and apply.
A logical data model or logical schema is a data model of a specific problem domain expressed independently of a particular database management product or storage technology (physical data model) but in terms of data structures such as relational tables and columns, object-oriented classes, or XML tags.
Database design is the process of producing a detailed data model of database. This data model contains all the needed logical and physical design choices and physical storage parameters needed to generate a design in a data definition language, which can then be used to create a database.
Features of a physical data model include:
Data modeling is often the first step in database design and object-oriented programming as the designers first create a conceptual model of how data items relate to each other. Data modeling involves a progression from conceptual model to logical model to physical schema.
The steps for designing the logical data model are as follows:
The process of logical design involves arranging data into a series of logical relationships called entities and attributes. An entity represents a chunk of information. In relational databases, an entity often maps to a table. An attribute is a component of an entity and helps define the uniqueness of the entity.