"SELECT employees.first_name,
managers.salary AS manager_salary
FROM employees
LEFT JOIN employees AS managers
ON employees.manager_id = managers.id
WHERE employees.salary > managers.salary
`"
Tiffany A. - "SELECT employees.first_name,
managers.salary AS manager_salary
FROM employees
LEFT JOIN employees AS managers
ON employees.manager_id = managers.id
WHERE employees.salary > managers.salary
`"See full answer
"BETWEEN and HAVING clauses in SQL serve different purposes:
1. BETWEEN Clause
Used to filter rows based on a range of values.
Works with numeric, date, or text values.
Can be used with WHERE or HAVING clauses.
The range includes both lower and upper bounds.
Example: Filtering employees with salaries between 30,000 and 50,000
`SELECT * FROM Employees
WHERE salary BETWEEN 30000 AND 50000;`
2. HAVING Clause
Used to filter **groups"
Meenakshi D. - "BETWEEN and HAVING clauses in SQL serve different purposes:
1. BETWEEN Clause
Used to filter rows based on a range of values.
Works with numeric, date, or text values.
Can be used with WHERE or HAVING clauses.
The range includes both lower and upper bounds.
Example: Filtering employees with salaries between 30,000 and 50,000
`SELECT * FROM Employees
WHERE salary BETWEEN 30000 AND 50000;`
2. HAVING Clause
Used to filter **groups"See full answer
"SQL databases are relational, NoSQL databases are non-relational. SQL databases use structured query language and have a predefined schema. NoSQL databases have dynamic schemas for unstructured data. SQL databases are vertically scalable, while NoSQL databases are horizontally scalable."
Ali H. - "SQL databases are relational, NoSQL databases are non-relational. SQL databases use structured query language and have a predefined schema. NoSQL databases have dynamic schemas for unstructured data. SQL databases are vertically scalable, while NoSQL databases are horizontally scalable."See full answer
Software Engineer
SQL
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