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A well-designed database minimizes redundancy without losing any data. That is, we aim to use the least amount of storage space for our database while still maintaining all links between data. We will cover the following: Database concepts and terminology Normalization and the normal forms Database design exercises Database Concepts and Terminology To understand the principles we will look at in this chapter, we need to establish some basic concepts and terminology.
Entities and Relationships The very basics of what we are trying to model are entities and relationships.
Entities are the things in the real world that we will store information about in the database. For example, we might choose to store information about employees and the departments they work for.
In this case, an employee would be one entity and a department would be another. Relationships are the links between these entities. For example, an employee works for a department.
Works-for is the relationship between the employee and department entities. Relationships come in different degrees.
They can be one-to-one, one-to-many or many-to-one depending on the direction you are looking at it fromor many-to-many. A one-to-one relationship connects exactly two entities. If employees in this organization had a cubicle each, this would be a one-to-one relationship.
The works-for relationship is usually a many-to-one relationship in this example. That is, many employees work for a single department, but each employee works for only one department.
These two relationships are shown in Figure 3.
The works-for relationship is many-to-one. Note that the entities, the relationships, and the degree of the relationships depend on your environment and the business rules you are trying to model. For example, in some companies, employees may work for more than one department.
In that case, the works-for relationship would be many-to-many. If anybody shares a cubicle or anybody has an office instead, the is-located-in relationship is not one-to-one. When you are coming up with a database design, you must take these rules into account for the system you are modeling.
No two systems will be exactly the same.A database is an organized collection of data. It is the collection of schemas, tables, queries, reports, views, and other objects. The data are typically organized to model aspects of reality in a way that supports processes requiring information.
Project list-Free Student Projects - Here we shared complete list of student projects that we shared in this page. Select the project topic and Download it. The task of Database Normalization doesn't have to be painful, especially if you follow Old Mother Celko's Normalization Heuristics.
MSDS Student Record Maintenance Collection. The SRM Collection is an optional collection that may be used to update student data throughout the school year, including.
System for Cross-Domain Identity Management: Core Schema Abstract. The System for Cross-Domain Identity Management (SCIM) specification is designed to make managing user identity in cloud based applications and services easier.
Why MySQL? Many of the world's largest and fastest-growing organizations including Facebook, Google, Adobe, Alcatel Lucent and Zappos rely on MySQL to save time and money powering their high-volume Web sites, business-critical systems and packaged software.