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SQL Database User 1 SQL*Plus 2 Connect with System User 3 Create a new Database User 4 Log into new User

SQL Database 1 Create Database 2 Delete or Drop Database 3 Use Database 4 Create Database in SQL Server 5 Rename Database

SQL Table 1 Create Table in SQL Server 2 Delete or Drop table 3 Insert Data into table 4 Select Distinct 5 Select Top 6 Where Clause 7 Aliases 8 Update Table 9 AND, OR, NOT 10 IN 11 Between 12 Order By 13 Group By 14 Having 15 Exists 16 ANY and ALL 17 CASE Statement 18 Select Into 19 Alter Table 20 Order of execution of a Query 21 Create table

SQL Constraints 1 Constraints Introduction 2 Not Null 3 Unique 4 Primary Key 5 Foreign Key 6 Check 7 Default 8 Index 9 Auto Increment Field 10 Cascading referential integrity constraint 11 Identity Column in SQL Server

SQL Keywords 1 Keywords Introduction

SQL Data Types 1 Data Types Introduction

SQL Operators 1 Operators Introduction

SQL Wildcard Characters 1 Wildcard Introduction 2 Like

SQL Joins 1 Joins Introduction 2 Inner Join 3 Left Join 4 Right Join 5 Full Join 6 Self Join 7 Union 8 Cross Join 9 Advanced Join

SQL Aggregate Function 1 Introduction 2 Min 3 Max 4 Count 5 Avg 6 Sum

SQL Views 1 Views Introduction 2 Advantages of View 3 Updateable Views 4 Limitations of views

SQL Dates 1 Dates Introduction

SQL Stored Procedures 1 Stored Procedures Introduction 2 Advantages of Stored Procedures 3 Simple Store Procedure 4 Stored procedure with input parameters 5 Stored Procedure with OUTPUT Parameters 6 Alter Procedure

SQL Functions 1 Functions Introduction 2 Table Valued Functions 3 Scalar Valued Functions 4 Stored Procedure VS Function 5 Multi-Statement Table Valued Functions 6 Function WITH ENCRYPTION 7 Function WITH SCHEMABINDING

String Functions in SQL Server 1 Ascii() 2 Char() 3 Ltrim() 4 Rtrim() 5 Lower() 6 Upper() 7 Reverse() 8 Len() 9 Left() 10 Right() 11 CharIndex() 12 SubString() 13 Function Real time Example 14 Replicate() 15 Space() 16 Patindex() 17 Replace() 18 Stuff()

SQL Server Date Functions 1 ISDATE() 2 DAY() 3 MONTH() 4 YEAR() 5 DATENAME() 6 DATEPART() 7 DATEADD () 8 DATEDIFF() 9 Real time Example

Other Functions in SQL Server 1 Cast() 2 Convert()

Mathematical Functions in SQL Server 1 Mathematical Functions in SQL

Temporary tables 1 Local Temporary tables 2 Global Temporary tables

Indexes 1 Clustered Index 2 Non Clustered Index 3 Unique Index 4 Advantages and disadvantages of indexes

SQL Server Trigger 1 Triggers in SQL Server 2 After update trigger 3 Instead of insert trigger 4 Instead of update triggers 5 Instead of delete trigger 6 Common table expression (CTE)

Backup and Restore 1 Backup in SQL Server 2 Database Restore

SQL Introduction 1 About SQL Tutorial 2 SQL Basic Overview 3 Query Language 4 Microsoft SQL Server 5 MySQL 6 Oracle Database

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Understanding Aggregate Functions in SQL: A Complete Guide

Rumman Ansari July 19, 2024 6,273 views

Understanding Aggregate Functions in SQL: A Complete Guide

An aggregate function in SQL is a function that takes a group of rows and produces a single value. This value can be the sum, the average, the minimum, or the maximum of the values in the group.

SUM(): calculates the total sum of a numeric column.
AVG(): calculates the average of a numeric column.
MIN(): returns the minimum value in a column.
MAX(): returns the maximum value in a column.
COUNT(): returns the number of rows in a table, or the number of rows that match a specific condition.

Aggregate functions can be used with the GROUP BY clause in SQL to group the results by a specific column or set of columns, and apply the aggregate function to each group separately. This allows you to perform calculations and summarize data based on different criteria.