Just let me know what to write for the SQL theory: Question:  Write a query to display the first name of the employee and the count of the dependents that the employee has for only those employees that have more than 1 dependents. Rename the count column as ‘Dependent Count’. Order by the dependent count in the descending order. (Hint: Use Table joining, GROUP BY and HAVING) 2.  Write an SQL Query to list the name(s) and address(es) of employees who work at the department named- 'Human Resources’? (Hint: Use Table Joining)

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Just let me know what to write for the SQL theory:

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  1. Write a query to display the first name of the employee and the count of the dependents that the employee has for only those employees that have more than 1 dependents. Rename the count column as ‘Dependent Count’. Order by the dependent count in the descending order.

(Hint: Use Table joining, GROUP BY and HAVING)

2.  Write an SQL Query to list the name(s) and address(es) of employees who work at the department named- 'Human Resources’? (Hint: Use Table Joining)

The image is a relational database schema, illustrating the structure of multiple related tables. Each table contains specific attributes, with primary keys underlined. Below is a detailed explanation of each table:

1. **Employee Table**:
   - **Primary Key**: `empNo`
   - **Attributes**: 
     - `firstName`: The first name of the employee.
     - `lastName`: The last name of the employee.
     - `address`: The home address of the employee.
     - `DOB`: The date of birth of the employee.
     - `sex`: The gender of the employee.
     - `position`: The job position of the employee.
     - `deptNo`: The department number where the employee works (foreign key).

2. **Department Table**:
   - **Primary Key**: `deptNo`
   - **Attributes**: 
     - `deptName`: The name of the department.
     - `mgrEmpNo`: The employee number of the manager (foreign key).

3. **Project Table**:
   - **Primary Key**: `projNo`
   - **Attributes**: 
     - `projName`: The name of the project.
     - `deptNo`: The department number responsible for the project (foreign key).

4. **WorksOn Table**:
   - **Composite Primary Key**: (`empNo`, `projNo`)
   - **Attributes**: 
     - `hoursWorked`: The number of hours an employee worked on a project.

5. **Dependent Table**:
   - **Composite Primary Key**: (`empNo`, `Dependent_name`)
   - **Attributes**: 
     - `Sex`: The gender of the dependent.
     - `Bdate`: The birth date of the dependent.
     - `Relationship`: The relationship of the dependent to the employee.

Each component interrelates to maintain the integrity and structure of the organizational data represented within the database.
Transcribed Image Text:The image is a relational database schema, illustrating the structure of multiple related tables. Each table contains specific attributes, with primary keys underlined. Below is a detailed explanation of each table: 1. **Employee Table**: - **Primary Key**: `empNo` - **Attributes**: - `firstName`: The first name of the employee. - `lastName`: The last name of the employee. - `address`: The home address of the employee. - `DOB`: The date of birth of the employee. - `sex`: The gender of the employee. - `position`: The job position of the employee. - `deptNo`: The department number where the employee works (foreign key). 2. **Department Table**: - **Primary Key**: `deptNo` - **Attributes**: - `deptName`: The name of the department. - `mgrEmpNo`: The employee number of the manager (foreign key). 3. **Project Table**: - **Primary Key**: `projNo` - **Attributes**: - `projName`: The name of the project. - `deptNo`: The department number responsible for the project (foreign key). 4. **WorksOn Table**: - **Composite Primary Key**: (`empNo`, `projNo`) - **Attributes**: - `hoursWorked`: The number of hours an employee worked on a project. 5. **Dependent Table**: - **Composite Primary Key**: (`empNo`, `Dependent_name`) - **Attributes**: - `Sex`: The gender of the dependent. - `Bdate`: The birth date of the dependent. - `Relationship`: The relationship of the dependent to the employee. Each component interrelates to maintain the integrity and structure of the organizational data represented within the database.
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