No More Worries!

Our orders are delivered strictly on time without delay

Paper Formatting

Double or single-spaced
1-inch margin
12 Font Arial or Times New Roman
300 words per page

No Lateness!

Our orders are delivered strictly on time without delay

Our Guarantees

Free Unlimited revisions
Guaranteed Privacy
Money Return guarantee
Plagiarism Free Writing

Data Definition and Data Manipulation Language

The case study retail store has provided a list of reports and data manipulation tasks that are needed in the processing of orders for their customers. Answer the following:

What structured query language (SQL) statement scripts are needed to create the database schema for the relational database system and manipulate the data in the solution that you are proposing to the company?
How does each of these scripts specifically support the goals and objectives of the company?
to help you with this assignment.

As indicated in Unit 1, it is assumed that Microsoft SQL Server Express Edition (with management tools) was chosen as the database platform. It can be downloaded for free at .

The project deliverables are as follows:

Data Manipulation Tasks
Insert 20 records into each table for testing purposes.
Delete an entire order by using the unique identifier for that order.
Update the price of a product by using the unique identifier for that product.
Add a minimum of 3 of your own data manipulation language (DML) scripts based on the needs and specifications of your retail store.
Report List
Total revenue (sales) per month, grouped by customer
Total revenue (sales) per month, grouped by product
Total count of products, grouped by category
Add minimum of 3 of your own report scripts based on the needs and specifications of your retail store (one must be a CROSSTAB)
SQL (45 pages)
Include the database definition language (DDL) scripts to CREATE to database schema as described in the entityrelationship (ER) diagram (Unit 2).

Full Answer Section

Key Tables:

Customers: CustomerID (PK), Name, Address, ContactInformation
Products: ProductID (PK), Name, Description, Price, CategoryID
Categories: CategoryID (PK), CategoryName
Orders: OrderID (PK), CustomerID (FK), OrderDate, TotalAmount
OrderDetails: OrderDetailID (PK), OrderID (FK), ProductID (FK), Quantity, Price

SQL Scripts

Database Schema Creation (DDL)

SQL
CREATE DATABASE RetailStore;
USE RetailStore;

CREATE TABLE Customers (
    CustomerID INT IDENTITY(1,1) PRIMARY KEY,
    Name VARCHAR(100),
    Address VARCHAR(250),
    ContactInformation VARCHAR(50)
);

CREATE TABLE Products (
    ProductID INT IDENTITY(1,1) PRIMARY KEY,
    Name VARCHAR(100),
    Description VARCHAR(250),
    Price DECIMAL(10,2),
    CategoryID INT FOREIGN KEY REFERENCES Categories(CategoryID)
);

CREATE TABLE Categories (
    CategoryID INT IDENTITY(1,1) PRIMARY KEY,
    CategoryName VARCHAR(50)
);

CREATE TABLE Orders (
    OrderID INT IDENTITY(1,1) PRIMARY KEY,
    CustomerID INT FOREIGN KEY REFERENCES Customers(CustomerID),
    OrderDate DATE,
    TotalAmount DECIMAL(10,2)
);

CREATE TABLE OrderDetails (
    OrderDetailID INT IDENTITY(1,1) PRIMARY KEY,
    OrderID INT FOREIGN KEY REFERENCES Orders(OrderID),
    ProductID INT FOREIGN KEY REFERENCES Products(ProductID),
    Quantity INT,    1.  github.com 
github.com

    Price DECIMAL(10,2)
);
 Use code with caution.

Data Manipulation (DML)

SQL

-- Insert 20 records into each table (example for Customers)
INSERT INTO Customers (Name, Address, ContactInformation)
VALUES ('John Doe', '123 Main St', '[email protected]'),
      -- ... other records ...

-- Delete an entire order
DELETE FROM Orders WHERE OrderID = 123;

-- Update product price
UPDATE Products SET Price = 19.99 WHERE ProductID = 456;

 Use code with caution.

Reports (SELECT, GROUP BY, CROSSTAB)

SQL
-- Total revenue per month, grouped by customer
SELECT c.CustomerID, MONTH(o.OrderDate) AS Month, SUM(od.Quantity * od.Price) AS TotalRevenue
FROM Orders o
INNER JOIN Customers c ON o.CustomerID = c.CustomerID
INNER JOIN OrderDetails od ON o.OrderID = od.OrderID
GROUP BY c.CustomerID, MONTH(o.OrderDate);

-- Total revenue per month, grouped by product
SELECT p.ProductID, MONTH(o.OrderDate) AS Month, SUM(od.Quantity * od.Price) AS TotalRevenue
FROM Orders o
INNER JOIN OrderDetails od ON o.OrderID = od.OrderID
INNER JOIN Products p ON od.ProductID = p.ProductID
GROUP    1.  stackoverflow.com 
stackoverflow.com
 BY p.ProductID, MONTH(o.OrderDate);

-- Total count of products, grouped by category
SELECT c.CategoryName, COUNT(p.ProductID) AS ProductCount
FROM Categories c
INNER JOIN Products p ON c.CategoryID = p.CategoryID
GROUP BY c.CategoryName;
 Use code with caution.

Supporting Goals and Objectives

Database schema: Defines the data structure to accurately represent the retail store's operations.
Data manipulation: Allows for efficient data management, updates, and corrections.
Reports: Provides valuable insights into sales performance, customer behavior, and product popularity.

By creating these SQL scripts, the retail store can effectively manage its data, generate meaningful reports, and make data-driven decisions.

Sample Answer

Task Breakdown

The task involves creating a database schema for a retail store, populating it with data, manipulating data through SQL queries, and generating reports based on the data. The goal is to provide insights into the store's performance.

Proposed Solution

We will use Microsoft SQL Server Express Edition to create a relational database. The database will contain tables for customers, products, orders, order details, and potentially other relevant entities based on the specific retail store's needs.