Write SQL DML Statements That Address The Following Requirem
Write Sql Dml Statements That Address The Following Requirementsupdat
Write SQL DML statements that address the following requirements: Update the Employees table and give all employees making less than $10 per hour a 5% increase. List all records/fields in the EMPLOYEES table in order of the employee’s last name. List all records/fields in the EMPLOYEES table in order of the department name. List employee names, hourly pay rate and department name for employees making between (and including) $10 and $30 per hour. What is the total organization payroll assuming each employee works 40 hours per week?
Using the tables you created in Unit 2’s project database (excluding the Employees and Departments tables), create one or more SQL queries to demonstrate your understanding of the following concepts: WHERE clause using comparison operators, ORDER BY clause, JOINS, Aggregation. The assignment refers to the "Department Name". That field is stored in the Departments table. A join is needed. Deliverable: One Word document with at least nine queries. For each query, include: SQL in text format (not a screenshot) and screenshots of SQL results. The Word document and the .accdb file must use the provided template.
Paper For Above instruction
The assignment involves creating and executing a series of SQL Data Manipulation Language (DML) statements to manipulate and retrieve data from a database related to an organizational employee and department structure. The tasks require updating employee compensation, retrieving ordered lists of employee records, and computing payroll totals, as well as demonstrating comprehension of SQL querying concepts using a different set of tables created in a prior project. This essay will detail the approach for each of these tasks, including relevant SQL statements and explanations to demonstrate understanding of key SQL principles such as conditionals, joins, sorting, and aggregation.
First and foremost, the primary task is to update the Employees table to provide a 5% increase for employees earning less than $10 per hour. The SQL UPDATE statement is employed here, combined with a WHERE clause to specify the criteria for selecting employees whose hourly pay is below $10. The statement is structured to multiply the current hourly rate by 1.05, reflecting the 5% increase, and update the record accordingly.
```sql
UPDATE Employees
SET Hourly_Pay = Hourly_Pay * 1.05
WHERE Hourly_Pay
```
This command locates all employees whose hourly pay is less than $10 and increases their rate by 5%. Such a change prompts a reassessment to ensure payroll accuracy.
Subsequently, the task shifts to retrieving data from the Employees table, organized in specific orders. Listing all records and fields sorted by employee last name involves a simple SELECT statement combined with an ORDER BY clause.
```sql
SELECT * FROM Employees
ORDER BY Last_Name;
```
This query fetches the entire employee dataset, ordered alphabetically by last name, facilitating easy reference and review.
Furthermore, the list must be arranged by department name, which, according to the given context, resides in the Departments table. To achieve this, an SQL JOIN operation combines the Employees table with the Departments table based on a shared key—typically a Department_ID. The SELECT statement extracts all employee data along with department names, ordered accordingly.
```sql
SELECT Employees.*, Departments.Department_Name
FROM Employees
JOIN Departments ON Employees.Department_ID = Departments.Department_ID
ORDER BY Departments.Department_Name;
```
This query results in an organized list of employees categorized by departments, facilitating department-specific analysis.
The next listing involves selecting employees earning between $10 and $30 per hour, inclusive. Here, the WHERE clause employs comparison operators to filter the dataset, and the SELECT statement specifies only the employee names, their hourly pay, and their department names, which again requires a join with the Departments table.
```sql
SELECT Employees.Last_Name, Employees.First_Name, Employees.Hourly_Pay, Departments.Department_Name
FROM Employees
JOIN Departments ON Employees.Department_ID = Departments.Department_ID
WHERE Employees.Hourly_Pay BETWEEN 10 AND 30;
```
This query provides a targeted view of employees within specific wage brackets, which can be useful for compensation analysis.
Finally, the total weekly payroll for the organization is calculated under the assumption that each employee works 40 hours. This involves aggregating the total pay for all employees by summing their hourly rate multiplied by 40 hours. An SQL SELECT statement with the SUM aggregate function accomplishes this.
```sql
SELECT SUM(Hourly_Pay * 40) AS Total_Payroll
FROM Employees;
```
This calculation yields the organization's total weekly payroll expenditure, an essential metric for financial planning.
In addition, the assignment emphasizes demonstrating expertise in advanced query concepts using tables created in a previous unit, excluding Employees and Departments. These include utilizing the WHERE clause with comparison operators, ORDER BY for sorted output, JOINs to combine tables based on relationships, and aggregate functions for summary calculations. At least nine queries should be crafted, each accompanied by the SQL syntax and screenshots showing the query results. All deliverables—Word document and database file—must adhere to the specified template to ensure consistency and clarity.
By executing these SQL statements and understanding their mechanics, students will demonstrate proficiency in essential database operations, including data updating, sorted retrieval, joining related tables, filtering data based on conditions, and performing aggregate calculations to support organizational decision-making.
References
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