Best Practice: ERDs “Data Modeling Using Entity Relationship Diagrams: A Step-Wise Method” IST 659 - Syracuse University September 30, 2014 Jared S. Mandel Introduction Databases are the center of many technology and non-technology focused businesses. They are used in retail, healthcare, education and government. Databases are essentially in entering, storing, managing and referencing data, and can be simple in nature, or extremely complex. In order for a database to be implemented correctly, planning is required. Planning takes place from the moment of idea inception, and continues throughout multiple stages of the planning process (typically during the analysis and design phases). An Entity-relationship diagram, or ERD, is a visual layout or plan for a database. An ERD is defined as “a graphical model that shows the logical model of the data for an organization (Dischiave, n.d.).” ERDs should follow the industry standard best practices in order to be most effective and useful overall. ERDs that do not follow certain best practices, which are outlined in this paper, could cause delays, inconsistencies, or lasting problems when designing and implementing a database. ERDs should follow set business rules, follow appropriate, effective and consistent naming conventions, should clearly outline unary, binary and ternary relationships, should include attributes, entities and relationships and should be clear and easy to follow (Hoffer, 2012). The article entitled
The ERD represents conceptualization by end users of what the database has to offer. As a database designer, it is important for you to use the ERD tool so the components, attributes, entities and relationships are clearly visible. The ERD tool will held database designers make sure they are capturing all required data and that all tables needed are built around that data.
Although Change Request No. 3 seems fairly simple, it will bring to light any issues that might have been encountered while interpreting the tables from the ERD Diagram. It is not uncommon for changes to be needed to the database after it has been created from the ERD. Moreover, now is the best time to catch these issues before the system is fully functioning making it much more difficult to make certain changes.
2. using the data requirements and the business rules provided, develop a conceptual model (ERD), including attribute data types and required field lengths; and
Spellman University had requested that I develop a database for their college. The purpose of the database will be to track the students and the courses. There also will be a place in the system to track the instructors teaching each course. There are many things to be considered in composing this database. This paper will outline the entities, attributes for each entity, the type of relationship, constraints, some business rules, and the conceptual and physical models.
A. Lab # : BSBA BIS245A-1 B. Lab 1 of 7 : Introduction to MS Visio and MS Access C. Lab Overview--Scenario/Summary TCOs: 1. Given a business situation in which managers require information from a database, determine, analyze and classify that information so that reports can be designed to meet the requirements. 2. Given a situation containing entities, business rules, and data requirements, create the conceptual model of the database using a database modeling tool. Scenario: You have been asked to create two conceptual database models using MS Visio Database Model Diagram Template. The purpose of this lab is to have you gain familiarity with the various modeling tools needed to create a conceptual model (entity relationship diagram) of a
Campbell, R. J. (2015). Database Design: What HIM Professionals Need to Know. AHIMA. Retrieved from http://library.ahima.org/xpedio/groups/public/documents/ahima/bok1_024637.hcsp?dDocName=bok1_024637
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.
* As explained throughout this course, entity relationship modeling is a critical element of database design. If the database is not properly modeled, it is unlikely that the database will be properly developed. Using this knowledge, explain the key reasons why entity relationship modeling is important, and determine at least (1) way in which it impacts the overall development of the database.
* Compare Entity-Relationship (ER) diagrams, Structured Analysis and Design Technique (SADT) diagrams, data flow diagrams (DFD), and Unified
b. One of the issues in denormalized data is that it can result in many-to-many
The Database Design for the EHR is composed of definitions for database objects derived by mapping entities to tables, attributes to columns, unique identifiers to unique keys and relationships to foreign keys. During design, these definitions may be enhanced to support the functionality described in the functional specifications and defined in the primary and supporting modules of the application’s High-Level Design. The database design will also use SQL statements that will be used to extract information from the proposed paper (EHR)
• Entity-relationship modeling is logical representation of the data for an organization or for a business area. The E-R model is expressed in terms of entities in the business environment, the relationship among those entities, and attributes of both entities and their
Each symbol’s shape represents a different label. For example, inputting a rectangle identifies the entity, and a diamonds highlights the relationships between items. The analyst inputs an oval to list the entity’s attributes. Each design links to another with lines illustrating direct relationships between categories (Bagranoff et al., 2008). The organization currently applies methods common to most businesses. The current approach is a success; however, the company can improve on some aspects.