Page 47 Of 88 Using The Previous Assignment See Below Use SQ ✓ Solved

Page47of88using The Previous Assignment See Below Use Sql Command To

Using the previous assignment (see below) Use SQL command to: 1. Create related tables to capture sales data and sales transactions. 2. Populate all tables with the related data. 3. Update the database when new products arrive. 4. Update the database when a sale is made. 5. Describe (in at least a half page) the major points you learned on SQL and what lessons you have learned in this exercise.

Sample Paper For Above instruction

Introduction

This comprehensive exercise focuses on utilizing SQL commands to establish, populate, and update a relational database system tailored to sales, inventory, and transactional data. The process involved the systematic creation of related tables, populating them with existing data, and making dynamic updates based on new product arrivals and sales transactions. Additionally, the exercise provided insights into the core principles of database normalization, ACID properties, and practical lessons learned through implementing SQL commands, ensuring data integrity, efficiency, and consistency. This paper elaborates on the core activities performed, the learned major points about SQL, and the critical lessons gained during this process.

Designing and Creating Database Tables

Establishing a robust relational database requires detailed planning and precise implementation of tables that accurately reflect the real-world entities involved in sales and inventory management. Based on the previous assignment, I designed tables that captured data for clients, dependents, electronic employees, electronic items, store inventory, checkout processes, and sales transactions. Each table was created with SQL commands considering normalization principles, primary keys, foreign keys, and appropriate data types.

The core tables include:

  • Clients: Stores customer details such as Customer ID, Name, Phone, Email, and transaction dates.
  • Dependents: Tracks dependents linked to clients with details like name, birthdate, relationship, and email.
  • Electronic Employees: Maintains employee information including Employee ID, Name, SSN, Phone, and employment dates.
  • Electronic Items: Records electronic product details such as Item ID, Brand, Description, Price, Cost, etc.
  • Store Inventory: Keeps track of item quantities and their physical locations.
  • Checkout: Captures sales transaction data, including Checkout ID, Customer ID, Employee ID, date, subtotal, tax, etc.
  • Checkout Action: Details each item involved in a checkout process, linking to Electronic Items and Checkout.

Populating Tables with Data

Once the tables were created, I populated them using the SQL INSERT statements with existing data extracted from previous assignments or sample data sets provided. For instance, client data was inserted with specific customer IDs, names, contact details, and transaction dates. Similarly, electronic items, employees, inventory, and sales records were populated to reflect real-world values, ensuring referential integrity by matching primary and foreign keys.

This step was essential for establishing a functioning database, allowing subsequent queries, updates, and transactions. Accurate data entry was critical to avoid inconsistencies and to facilitate meaningful insights from the database operations.

Updating the Database for New Products

As part of practical management, updating the database when new products arrive involved executing SQL INSERT commands to add entries into the Electronic Items and Store Inventory tables. For example, when a new electronic gadget, say a smart speaker, arrived, a new record with unique Item ID, description, price, and quantity was added to the inventory. This process ensures that the database remains current and comprehensive, enabling accurate sales and stock management.

Sample SQL command:

INSERT INTO Electronic_Items (Item_ID, Brand, Description, Price, Cost)

VALUES ('E1001', 'SmartTech', 'Smart Speaker', 99.99, 70.00);


INSERT INTO Store (Electronic_Items_ID, Item_ID, Quantity)


VALUES ('SI1001', 'E1001', 50);

This method maintains data consistency and supports inventory management routines.

Updating the Database after a Sale

When a sale occurs, the database must be updated to reflect the transaction. This involves inserting a new record into the Checkout table, capturing details such as the Customer ID, Employee ID, date, subtotal, and applicable taxes. Subsequently, each product involved in the sale is recorded in the Checkout Action table, linking back to the main checkout record and the specific electronic item sold.

For example, a transaction involving purchase of two electronic items would generate entries as follows:

INSERT INTO Checkout (Checkout_ID, Cust_ID, Emp_ID, Date, Subtotal, Tax)

VALUES ('CO12345', 'C001', 'E005', '2024-04-27', 299.98, 15.00);


INSERT INTO Checkout_Action (Checkout_ID, Electronic_ITEMS_ID, Quantity, Description)


VALUES ('CO12345', 'E1001', 1, 'Smart Speaker'),


('CO12345', 'E1002', 1, 'Wireless Headphones');

Following this, stock quantities in the Store Inventory table are reduced accordingly to maintain current stock levels. Such updates are essential for accurate stock control, financial calculations, and customer service.

Major Points Learned about SQL and Lessons from this Exercise

Through this exercise, I learned several crucial aspects of SQL, including table creation, data population, data updating, and maintaining referential integrity. The process of creating related tables underscored the importance of normalization principles, primary and foreign key relationships, and appropriate data types to enhance database efficiency.

Implementing INSERT, UPDATE, and DELETE commands demonstrated practical ways to manipulate data while ensuring data accuracy and consistency. The significance of using transactions to perform multiple updates atomically was evident for maintaining ACID properties, notably atomicity and durability.

Understanding normalization greatly improved the database's structure, minimizing redundancy, and optimizing data retrieval. Normalization also illuminated the importance of decomposing complex tables into smaller, logically cohesive units—ensuring that the database remains scalable and manageable.

Additionally, this exercise highlighted the importance of adherence to ACID properties, especially atomicity and consistency, in transaction management. This ensures reliable operations, even in cases of system failures, which is vital for business-critical applications.

In summary, the key lessons include mastery of SQL commands for creating complex relational schemas, ensuring data integrity through keys and constraints, and executing dynamic updates seamlessly. These skills form the foundation for building efficient, reliable, and scalable database systems that can adapt to evolving business needs.

References

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