SQL

There are several special operators that serve specific purposes beyond basic comparison and arithmetic operations. Some of these special operators include: LIKE Operator: The LIKE operator is used to search for a specified pattern in a column. It’s commonly used with wildcard characters such as % (matches any sequence of characters) and _ (matches any single character). SELECT \* FROM Employees WHERE FirstName LIKE 'J%'; IN Operator: The IN operator is used to specify multiple values in a WHERE clause. It checks if a value matches any value in a list. ...

There are several special operators that serve specific purposes beyond basic comparison and arithmetic operations. Some of these special operators include: LIKE Operator: The LIKE operator is used to search for a specified pattern in a column. It’s commonly used with wildcard characters such as % (matches any sequence of characters) and _ (matches any single character). SELECT \* FROM Employees WHERE FirstName LIKE 'J%'; IN Operator: The IN operator is used to specify multiple values in a WHERE clause. It checks if a value matches any value in a list. ...

Think of constraints in a database as rules that ensure data behaves properly, just like rules in a game. For instance, if you’re playing basketball, you can’t use your hands to touch the ball unless you’re dribbling or shooting. Similarly, constraints in a database ensure that data follows certain rules, like not allowing duplicate values in a column or making sure each student has a unique student ID. ...

Think of constraints in a database as rules that ensure data behaves properly, just like rules in a game. For instance, if you’re playing basketball, you can’t use your hands to touch the ball unless you’re dribbling or shooting. Similarly, constraints in a database ensure that data follows certain rules, like not allowing duplicate values in a column or making sure each student has a unique student ID. ...

What are Joins? Imagine you have two lists of friends — one list with their names and another list with their hobbies. Now, you want to find out which friend has which hobby. This is where joins come in handy! In databases, tables are like lists, and joins help us combine information from different tables based on a common piece of information, like a friend’s name or an ID. ...

What are Joins? Imagine you have two lists of friends — one list with their names and another list with their hobbies. Now, you want to find out which friend has which hobby. This is where joins come in handy! In databases, tables are like lists, and joins help us combine information from different tables based on a common piece of information, like a friend’s name or an ID. ...

Lets assume !! you have a magic toy box that automatically does something whenever you put a specific type of toy inside it. Triggers in SQL are like these magical rules that automatically perform actions in the database when certain events happen. Example: Let’s say you have a database table called “Orders” that stores information about orders placed by customers: Trigger Example: Now, imagine you want to keep track of any large orders (orders with a total amount over $100) automatically. You can create a trigger to do this. ...

Lets assume !! you have a magic toy box that automatically does something whenever you put a specific type of toy inside it. Triggers in SQL are like these magical rules that automatically perform actions in the database when certain events happen. Example: Let’s say you have a database table called “Orders” that stores information about orders placed by customers: Trigger Example: Now, imagine you want to keep track of any large orders (orders with a total amount over $100) automatically. You can create a trigger to do this. ...

Temporary tables are like a temporary workspace or desk that you set up when you need some extra space to work on a project. You can use this space to organize and manipulate data without affecting your main workspace (or database) permanently. Once you’re done with your task, you can clean up and remove the temporary workspace, and everything goes back to how it was before. Example: Suppose you’re working on a school project where you need to analyze data about students’ grades and attendance. You don’t want to mess up your main desk (or database) with all your messy calculations and temporary data, so you set up a temporary workspace (or temporary table) to work on your project. ...

Temporary tables are like a temporary workspace or desk that you set up when you need some extra space to work on a project. You can use this space to organize and manipulate data without affecting your main workspace (or database) permanently. Once you’re done with your task, you can clean up and remove the temporary workspace, and everything goes back to how it was before. Example: Suppose you’re working on a school project where you need to analyze data about students’ grades and attendance. You don’t want to mess up your main desk (or database) with all your messy calculations and temporary data, so you set up a temporary workspace (or temporary table) to work on your project. ...