Huffman Truck

For the first normal form stage to be reached, there are a few requirements that must be met. First, the database attributes will be checked to make sure that all the key attributes have been included within the entities. Second, each cell will contain only one value and not a group of values. A cell is the intersection between the columns and rows. Third, all of the key attributes that have been defined should be dependent on the primary key. The Riordan Manufacturing database entities contains all of the necessary attributes for each entity and each of these attributes are dependent on the primary key and each cell only contains one value. The Riordan Manufacturing database is in first normal form.

Entities: There are 5 rectangles which represent entities. These entities include patient demographic information, pharmacy order, patient hospital visit, laboratory order, and physician information. The above mentioned entities are transformed into 5 tables in the final relational data base (Microsoft access). Each entity in the ERD has a unique identifier, called primary key (see the ERD above). Some of the entities such as pharmacy order ID, patient hospital visit, and laboratory order have foreign keys while entities like patient demographic information and physician information lack foreign keys.

The normalization of the ERD along with the driver’s log is taking all of the data within the database and putting the information into tables (World Book, 2011). In addition, after the data is normalized it then is put into an Entity Relationship Diagram or ERD (World Book, 2011). In this paper we will look at the ERD of the driver’s log.

3. Evaluate all relationships of each entity within your database solution using the Crow’s Foot notation. Include all data elements, entities, relationships (such as 1: M, 1:1, M: N), and cardinalities for the department store database in your diagram. Note: The graphically depicted solution is not included in the required page length.

* Compare Entity-Relationship (ER) diagrams, Structured Analysis and Design Technique (SADT) diagrams, data flow diagrams

From the list of entities and discussion of relationships create a fully-attributed Entity Relationship Diagram (ERD) to model the functional requirements of the Tarleton Gaming Solutions database. Because your client’s background in database design is quite limited provide a detailed explanation and justification of the ERD you are proposing. This includes but is not limited to the choice of entities, attributes, primary and foreign keys, relationships, and cardinality.

The rental car company is laying the foundation for building a relational database and is already deep within the design phase of the SDLC. Developing enterprise data models will ensure the business requirements are being met and in the long run, spell success for the enterprise. The two entity relationship diagrams the rental car company has established are 1) a Conceptual data model and 2) a Logical data model. Using the process of building these foundational models, the rental car company can then move on to the physical model and complete the database.

The rental car company is laying the foundation for building a relational database and is already deep within the design phase of the SDLC. Developing an enterprise data model will ensure the business requirements are being met and, in the long run, spell success for the enterprise. The two entity relationship diagrams that the rental car company has established are 1) a conceptual data model and 2) a logical data model. After using the process of building these foundational models, the rental car company can move on to the physical model starting to finalize and complete the database.

This document is an entity-relationship diagram, or “ERD,” for a system to manage electronic resources. An ERD is a model that identifies the concepts or entities that exist in a system and the relationships between those entities. An ERD is often used as a way to visualize a relational database: each entity represents a database table, and the relationship lines represent the keys in one table that point to specific records in related tables. ERDs may also be more abstract, not necessarily capturing every table needed within a database, but serving to diagram the major concepts

Creating a database for Fleet Truck Maintenance will organize the way Huffman does business. Team B knew that creating a database would be helpful to the company, but had to really ask themselves what this database would accomplish. Ultimately, creating this database will accomplish documenting consistencies in frequencies, amounts, driver history, and accomplish measuring growth in revenue and profitability. The primary goal of this database is to drive, cultivate, and measure the effectiveness of maintenance in the Huffman business and that’s exactly what it is doing. Maintenance is the best indicator of success or failure in any

The main components of a relational database are rows, columns, and tables. The tables are known as relations, or files. The rows are called tuples, or records. The columns are called attributes, or fields. In order for a table to be a relation, rows must contain data about an entity, or something. Columns must contain data about attributes of the entity (quantity, tax, etc.), and cells must contain a single value only. All entries in a column are of the same type. Each column has a unique name, and no two rows can be identical. The order of both the rows and columns is not important. The other components of a relational database are forms, queries, reports, and also macro and module. A macro is a sequence of instructions that we give a single name to- it can provide extra features and functionality, and the module is written in a programming language and then run when need be. It also lends extra functionality to the database. The forms are used to enter one record at a time, the queries are used to search through the data for the answer to our question, and the report

At the request of the Huffman Trucking Maintenance Department, Smith Consulting developed entities and attributes for their Fleet Trucking Maintenance database. Unfortunately, the creator of the database was not available and the development of the database system was not able to be completed. D Team realizes that the development of a reliable database system is needed to provide for the tracking of scheduled and unscheduled maintenance for their fleet. Therefore, a database along with forms, tables, queries, and reports that tracks information gathered by maintenance records, inventory of parts and purchases from vendors is proposed.

An entity relationship diagram is the basic design model for any database. It is the major deliverable for a conceptual database design. It is the logical organization of any data in the database and is usually made up of three components namely; entities, attributes and relationships. Entities are the major categories of data in the database and are usually represented by rectangles. Attributes are the characteristics of the entities and are usually written in the rectangle. Relationships are the connections between entities and are usually represented using lines joining the rectangles. Entities that share major characteristics are known as entity types, and are also referred to as classes. An entity instance is the individual occurrence of one entity type. It is important to define entity types as it makes it easier to determine the requirements of the database and how it will be structured.

A relational database organizes data in the form of two‐dimensional tables. Illustrated here are tables for

Besides, the third entity in the E-R diagram shown above is the horse. Because the main business of the HGRDA is providing different horse riding lesson with clients, the HGRDA has a demand in using the computerised system to manage the horse. As a result of this, the database would have a horse table to store all the information about the horses owned by the HGRDA. In the horse table, a large variety of information would be stored, which includes horses’ names, ages, heights and status. In addition, to identify different data or information stored in the horse table, each horse would have its own unique id.