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Based On The Feedback Received On Your Topic 2 Assignment Da

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Based On The Feedback Received On Your Topic 2 Assignment Database Sch

Based on the feedback received on your Topic 2 assignment Database Schema, provide SQL statements to create the (revised) database and populate it with sample data (at least four rows per table). Modify the database by adding an additional column ("Deleted_Date") to those tables that represent entities that could contain data which can be deleted and justify your rationale in a short paragraph. In addition, explain what the tradeoffs are in using a marker-column for deletion, as opposed to actually deleting a row from a table. Solid academic writing is expected.

Paper For Above instruction

The process of database design and management often undergoes revisions based on feedback to ensure accuracy, efficiency, and data integrity. This specific assignment focuses on creating SQL statements for a database schema, implementing sample data, and enhancing the database structure by adding a "Deleted_Date" column to relevant tables. Furthermore, the assignment requires a discussion of the advantages and disadvantages of using a marker-column (soft delete) versus physically deleting records from a table. This comprehensive approach fosters an understanding of both technical implementation and conceptual considerations in database management.

### Database Creation and Sample

Data Population

To begin, the original database schema likely included core tables such as `Customers`, `Orders`, `Products`, and `Suppliers`. The SQL statements to create these tables must first establish primary keys, relevant fields, and data types based on the intended use case. For example: ```sql

-- Create Customers table

CREATE TABLE Customers ( CustomerID INT PRIMARY KEY, Name VARCHAR(100), Email VARCHAR(100), Phone VARCHAR(15),

Created_At TIMESTAMP DEFAULT CURRENT_TIMESTAMP

);

-- Populate Customers with sample data

INSERT INTO Customers VALUES

(1, 'Alice Johnson', 'alice@example.com', '555-1234', NOW()), (2, 'Bob Smith', 'bob@example.com', '555-5678', NOW()), (3, 'Charlie Lee', 'charlie@example.com', '555-8765', NOW()), (4, 'Diana King', 'diana@example.com', '555-4321', NOW());

-- Create Products table

CREATE TABLE Products (

ProductID INT PRIMARY KEY,

Name VARCHAR(100),

Description TEXT,

Price DECIMAL(10, 2),

Created_At TIMESTAMP DEFAULT CURRENT_TIMESTAMP

);

-- Populate Products

INSERT INTO Products VALUES

(1, 'Laptop', 'High-end gaming laptop', 1500.00, NOW()), (2, 'Smartphone', 'Latest model smartphone', 800.00, NOW()), (3, 'Tablet', '10-inch tablet', 300.00, NOW()), (4, 'Headphones', 'Noise-cancelling headphones', 200.00, NOW());

-- Create Orders table

CREATE TABLE Orders ( OrderID INT PRIMARY KEY, CustomerID INT,

OrderDate TIMESTAMP DEFAULT CURRENT_TIMESTAMP,

TotalAmount DECIMAL(10, 2), FOREIGN KEY (CustomerID) REFERENCES Customers(CustomerID)

); -- Populate Orders

INSERT INTO Orders VALUES

(1, 1, NOW(), 2500.00), (2, 2, NOW(), 800.00), (3, 3, NOW(), 300.00), (4, 4, NOW(), 200.00); -- Create Suppliers table

CREATE TABLE Suppliers ( SupplierID INT PRIMARY KEY, Name VARCHAR(100), Contact_Email VARCHAR(100), Phone VARCHAR(15),

Created_At TIMESTAMP DEFAULT CURRENT_TIMESTAMP ); -- Populate Suppliers

INSERT INTO Suppliers VALUES

(1, 'Tech Supplies Inc.', 'contact@techsupplies.com', '555-1111', NOW()), (2, 'Gadget World', 'sales@gadgetworld.com', '555-2222', NOW()), (3, 'ElectroGoods', 'info@electrogoods.com', '555-3333', NOW()), (4, 'Device Distributors', 'support@devicedist.com', '555-4444', NOW());

### Adding the "Deleted_Date" Column and Rationale

To enhance data management, particularly for records that might become obsolete or require logical deletion, the "Deleted_Date" column should be added to those tables where soft deletion is logical. For instance, the `Customers`, `Products`, and `Orders` tables are suitable candidates because these records may need deactivation without physical deletion to preserve historical data or maintain referential integrity.

-- Alter Customers table

ALTER TABLE Customers ADD COLUMN Deleted_Date DATE;

-- Alter Products table

ALTER TABLE Products ADD COLUMN Deleted_Date DATE;

-- Alter Orders table

ALTER TABLE Orders ADD COLUMN Deleted_Date DATE;

The rationale for adding "Deleted_Date" is to facilitate soft deletion, allowing records to be marked as deleted without physically removing them from the database. This approach ensures historical data retention, auditability, and easier recovery if deletions are accidental. For instance, marking a customer as deleted preserves their transaction history, which might be critical for documentation or reporting purposes.

### Tradeoffs of Marker-Column Deletion vs. Hard Deletion

Utilizing a marker-column such as "Deleted_Date" for soft deletion offers several advantages. Firstly, it maintains referential integrity as related records in other tables remain connected, avoiding potential cascading deletions or orphaned records. It also provides an audit trail, allowing administrators to track when and why records were deactivated, which is valuable for compliance and data analysis.

However, this approach has tradeoffs. It can lead to increased storage requirements since obsolete records are retained permanently unless they are archived or purged periodically. Additionally, application logic must consistently filter out "deleted" records during queries, increasing complexity and potential for bugs if not managed properly. On the other hand, hard deletion simplifies database maintenance and reduces storage overhead but risks losing vital historical data and complicates recovery processes if accidental deletions occur.

In conclusion, the decision between soft and hard deletion depends on the specific requirements of the database application, such as the need for historical records, auditability, and performance considerations. Employing a marker-column provides flexibility and safety for data management, whereas physical deletion favors simplicity and efficiency.

References

Elmasri, R., & Navathe, S. B. (2015). Fundamentals of Database Systems. Pearson Education.

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