Project Stage 2: The Second Stage Of The Project Requires ✓ Solved
Project Stage 2 The second stage of the project requires
The second stage of the project requires students to perform the three steps to convert REA diagram to tables in the event-oriented modeling. 1. Examine the standard solution for Kim Flowers Stage 1. 2. Convert your EER diagram into tables. Make sure that you follow the procedure described in class and the slides to Chapter 9.
Kim Burke is the owner and operator of a small flower shop, Kim's Flowers. She has decided to develop a database system to track her sales, inventory, accounts receivable and cash receipts. This system is used for large orders that are arranged in advance. However, she does not have time to do the development herself. Therefore, she has hired you to design and implement the system for her. She describes the requirements of her system as follows: Whenever a customer ( A ) comes in to place an order ( E), a sales clerk ( A) enters a Sales Order directly into the computer system. The sales order lists all of the floral inventory items ( R) the customer wishes to purchase. The clerk then prints the sales order and gives a copy to the customer. If this is a new customer, before entering the sales document, the clerk must enter the customer's basic information such as name, address, etc. Additionally, credit for new customers must be approved by Kim. When Kim ( A) completes delivery ( E) of the sales order, an accounts receivable clerk ( A) records the delivery on a special screen. When delivery entry is completed, Kim prints the invoices and sends them to customers. When customers send in their payments, a sales clerk records the cash receipts ( E) on a special input screen. Kim takes all of the cash ( R) receipts for a day and prepares a single deposit slip form and makes the deposit ( E). Kim later enters the deposit information from the paper form into the computer.
Paper For Above Instructions
The process of converting an REA (Resources, Events, Agents) diagram into tables necessitates a thorough understanding of event-oriented modeling, which is the foundation of the database design approach for Kim's Flowers. In the current project, you will follow a systematic methodology to create a relational database that effectively captures the operations of Kim’s flower shop, as outlined in the scenario provided. This paper outlines the key steps taken to convert the EER (Enhanced Entity-Relationship) diagram into a structured set of tables, ensuring that all entities, attributes, and relationships have been properly identified and implemented.
Step 1: Examine Standard Solution for Kim’s Flowers Stage 1
The first step towards successful conversion involves reviewing the standard solution provided for the initial stage of Kim’s Flowers database project. The EER diagram from Stage 1 incorporates crucial entities such as Customers, Sales Orders, Products (floral inventory items), Cash Receipts, and Deliveries. Each entity needs to be examined for its attributes and relationships with other entities to prepare for the table formation.
For instance, the Customer entity typically includes attributes such as Customer_ID, Name, Address, Phone Number, and Email. The Sales Order entity includes attributes such as Order_ID, Customer_ID, Order_Date, and Total_Amount. Relationships must also be established between the entities, defining how these entities interact in the context of transactions.
Step 2: Convert EER Diagram to Tables
Following the examination of the standard solutions, the next step is to convert the EER diagram into tables by translating entities and their relationships into relational table formats. Each entity identified will turn into a table, while relationships will become foreign keys within these tables.
1. Customers Table: This table will contain the following columns: Customer_ID (PK), Name, Address, Phone_Number, Email. The Customer_ID serves as the primary key (PK), allowing unique identification of each customer.
2. Sales Orders Table: This will include: Order_ID (PK), Customer_ID (FK), Order_Date, Total_Amount. Here, Customer_ID acts as a foreign key (FK) referencing the Customers table.
3. Products Table: The table for products will contain: Product_ID (PK), Product_Name, Price, Quantity_Available. This structure allows the floral inventory to be maintained accurately.
4. Cash Receipts Table: For payments, this table will track: Receipt_ID (PK), Order_ID (FK), Payment_Date, Amount. The relationship with Sales Orders ensures traceability of payments.
5. Deliveries Table: Lastly, the deliveries will be recorded in: Delivery_ID (PK), Order_ID (FK), Delivery_Date. This table ensures a record of when deliveries are scheduled and completed.
Step 3: Follow Procedures for Implementation
Once the tables are established, it is crucial to apply procedures as described in class and the accompanying slides to ensure accuracy and adherence to best practices. Utilizing WinWord for documentation, each table can be detailed with column types, constraints, and relationships. Moreover, it is essential to implement normalization rules, ensuring that the tables are structured to minimize redundancy and preserve integrity.
Normalization Process
Normalization is a key aspect of database design that focuses on minimizing redundancy and dependency. The following stages of normalization should be applied
1. First Normal Form (1NF): Ensure that all columns in each table contain only atomic (indivisible) values. For instance, separate any multi-valued fields into individual rows.
2. Second Normal Form (2NF): Remove partial dependencies; make sure that all non-key attributes are fully functional dependent on the primary key.
3. Third Normal Form (3NF): Eliminate transitive dependencies to ensure that non-key attributes are not dependent on other non-key attributes.
Conclusion
The conversion of an EER diagram into relational tables for Kim’s Flowers is an essential step in the database design process. By following the prescribed methodology, including examining the standard solutions, converting the EER diagram into tables, and applying normalization practices, a robust database structure can be established. This structure will not only serve Kim’s operational needs but also enable efficient tracking of sales, inventory, and financial transactions, leading to better management and service delivery in her flower shop.
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