Fact Table for University Database

- Tables are useful in showing relationships and making comparisons. They should have title, row, column headings, population, source and explanations.

A relational database is a database that consists of a collection of tables with columns showing entities, and rows showing data. This type of database uses a primary key and foreign key. The foreign key in another table will point to the primary key of a table, and this is how tables can relate to each other. This permits for one-to-one, one-to-many, and many-to-many relationship between the data. An advantage of relational databases includes the ease of adding or modifying new tables and entities without needing to change the structure of the database already in place. Relational database have many features, including indexing, setting data type, and setting validation tests, all these help to ensure data integrity.

We can highlight some insight right away by just looking at table 1. A quick overview of the attributes’ path-worths values :

The fact table is used to store the data every time when a form is submitted. Fact data typically has two types of column: those that contain facts and those that are foreign keys to lookup tables.

First our team will talk about how Microsoft Access was used to create these tables by Huffman Trucking Database. Then how we used the tables with made up information to be tested on. Then on how we used forms in the maintenance database system. While the creation of relationships and normalization is explained in the process of using queries to search the database (University of Phoenix, 2007).

When it comes to the data model, there exists a relationship that has three different representations for the reason that database requires the relationship between the tables. It goes hand-in-hand with one another without the relationship the tables would have no purpose. The information cannot be repetitive in order for the each table to work and provide the specific database that is related to the information. In different ways the tables in the Huffman Trucking Fleet Truck database

One of the main components of a database is characters. Characters are letters, numbers and punctuation marks. You are using characters when you are typing a sentence for example. Another main component would be fields. Fields separate data in defined fields. When data is being entered even if you don’t have an answer for all fields a space is still left but it would be blank. If you have ever seen an excel spreadsheet that would give you an idea of how data is lined out into different fields. Records are a main database component as well. Records are a group of fields that are about one thing. An example would be social security numbers in a database of patients. Each patient would have a social security number and each social security number is in a field. That field would have the same information which is that patients social security number even though every ones is different and there would be many listed depending on how many patients was in the database. Gartee, R. (2011).

I have created this presentation to demonstrate to you that I should be able to attend University.

In creating a database, the most vital steps are identifying the table elements. Upon analysis of the Entities and Attributes for Fleet Truck Maintenance form, the elements of the database tables can be identified. In a table, or relation, the entities and attributes of a table define the structure of a database. An entity is an object of importance about which data can be captured. An attribute is the information that describes the entity. When creating the tables for the Huffman Trucking Fleet Truck Maintenance, entities and their relationships must be taken into consideration (Koenke & Auer, 2010).

Course Description This course covers database concepts. Topics include data analysis, the principal data models with emphasis on the relational model, entity-relationship diagrams, database design, normalization, and database administration. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • • University policies: You must be logged into the student website to view this document. Instructor policies: This

I am utilizing the Relational Database in my proposal. According to Murthy, data in a relational database, is mainly represented in tables and is considered to be an assortment of relations. A relational database is similar to a spreadsheet, in that a relational database organizes data in tables. The table is then made up of rows and columns. A row is also known as a record or tuple, and a column is also known as called a field or attribute. Using a relational database allows me to efficiently store huge amount of data, and effectively retrieve selected data. Tables in the relational database are distinguished by a primary key, which confirms that “no

The attributes further define the property. Some relationships between the entities can share more than one attribute and others share only one. The relationship diagram 1.1 will illustrate how the entities and attributes are linked together. Below is a list of the attributes for each of the entities in the database:

Relational database normalization entails organizing database and it includes the creation of tables as well as relationships establishment between the tables using designed rules intended to protect the data as well as make the database to be flexible. This is achieved through the elimination of redundancy as well as inconsistent dependency. Redundant data is known to waste the space of the disk thereby creating problems of

I will be explaining all the features of a relational database such as entities, attributes, relationships and benefits and will be giving examples on each of these to show how they affect the database.

These relationships between different types of data were defined in a database schema, the relational database could be queried with a standard Structured Query Language (SQL). These SQL based databases require a fixed amount of tables, a fixed amount of columns in each table, with each column represent a fixed data type (integer, string, etc). Consequently fields of data stored in each column must comply with the structure of the database and its tables. whatever data you want to store must be known to create an appropriate database schema, this is the concept behind relational databases.