A Data Dictionary For All Tables In The Data Model
A Data Dictionary For All Tables Defined In Data Model Is Required For
A data dictionary for all tables defined in data model is required for final project. This week, you will create a data dictionary for two entities from week 3 submission of data model. A data dictionary defines information for data model and database design. Please identify the following components for each of the two entities: Attribute name Attribute data type Attribute description Attribute values Here are two different sample templates to define your data dictionary. You can choose either sample template. Submit your assignment in MS Word format via the assignment link. Resources: These resources can be found in MindTap in the Week 4 Discussion Board module. Textbook: Module 8 – Advanced SQL Video: Module 8 – CREATE TABLE Basics (6:24 min.) PowerPoint: Module 8 Review charts
Paper For Above instruction
Creating a comprehensive data dictionary is a crucial step in database design, as it provides detailed information about the structure and attributes of the database tables. For this assignment, I will develop a data dictionary for two entities derived from the week 3 data model submission. These entities are essential in establishing clear definitions and expectations for database development, troubleshooting, and future maintenance.
Selection of Entities
The two entities selected for the data dictionary are "Customer" and "Order." These entities are vital components of a typical retail or sales database system. The "Customer" entity contains information about the clients, while the "Order" entity tracks purchase transactions. These entities are interconnected; each order is associated with a specific customer, making it crucial to define their attributes precisely.
Data Dictionary for the Customer Entity
| Attribute Name | Attribute Data Type | Attribute Description | Attribute Values |
|---|---|---|---|
| CustomerID | INT | Unique identifier for each customer | Positive integers, auto-incremented |
| FirstName | VARCHAR(50) | Customer's first name | Alphabetic characters, up to 50 characters |
| LastName | VARCHAR(50) | Customer's last name | Alphabetic characters, up to 50 characters |
| VARCHAR(100) | Customer's email address | Valid email format (e.g., user@example.com) | |
| PhoneNumber | VARCHAR(15) | Customer's contact phone number | Numeric characters, including country code, hyphens, parentheses as applicable |
| Address | VARCHAR(255) | Customer's mailing address | Alphanumeric characters, up to 255 characters |
Data Dictionary for the Order Entity
| Attribute Name | Attribute Data Type | Attribute Description | Attribute Values |
|---|---|---|---|
| OrderID | INT | Unique identifier for each order | Positive integers, auto-incremented |
| CustomerID | INT | Identifier linking to the customer who placed the order | Positive integers matching CustomerID |
| OrderDate | DATE | Date when the order was placed | Valid date format (YYYY-MM-DD) |
| TotalAmount | DECIMAL(10,2) | Total monetary value of the order | Non-negative decimal values, up to two decimal places |
| Status | VARCHAR(20) | Current status of the order | Values such as "Pending," "Shipped," "Delivered," "Cancelled" |
Conclusion
Developing a detailed data dictionary helps clarify each attribute's purpose, data type, and permissible values, which promotes a better understanding for developers, database administrators, and stakeholders. This structured documentation ensures data integrity and consistency across the system. The selected entities and their attributes align with standard practices, facilitating efficient database implementation, querying, and maintenance.
References
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