CONCEPTUAL DATA MODELINGA data model is used by businesses to help govern the properties of the organization's data. This is important because a business rule represents business policies that should be enforced via the database. During the Requirements Structuring phase a data model captures the conceptual data requirements for a given system. However, in order to implement successful refinements to subsequent models, a commitment must be made to designing an effective conceptual data model.The Conceptual Data Model represents a view of the overall structure of an organization's data. This view is independent of any other implementation considerations (i.e. database management systems, application software, etc.).The objective of a conceptual data model is to illustrate the business rules governing the meaning and interrelationships among data. The process begins with creating a conceptual model of the current system being replaced (assuming a system exists). This is necessary for planning the conversion of current data into the new database system. This original model can also serve as a proxy for understanding the data requirements for the new system. After the initial conceptual model is completed, analysts create additional models which include the data requirements for the new system (which should have been uncovered during requirements determination).Identify the entities and highest-level relationshipsA data entity is anything real or abstract about which we want to store data. Entity types fall into five classes: roles, events, locations, tangible things or concepts, example employee, customers, billing etc. The entities that are involved in this data model for JoNasY are the employees, billing, appointment, and the customers.Employees
Maint/Juice & snack Bar
JoNasY has four employees, one trainer, and one admins, one juice/snack bar help, and one maintenance /cleaning personal. The data stored on each employee includes employee ID number, name, address, city, state,...