22- SUM Aggregate Function in SQL | How to Sum Values in SQL Queries

Pubblicato il: 29 aprile 2025
sul canale di: TutorialsSpace- Er. Deepak Garg

Title:
SUM Aggregate Function in SQL | How to Sum Values in SQL Queries

Description:

Welcome to our MS SQL Tutorial Series! In this video, we’ll focus on the SUM aggregate function in SQL. SUM is one of the most powerful and frequently used aggregate functions to calculate the total of numeric values in a column. Whether you’re analyzing sales, expenses, or inventory, mastering SUM is essential for generating reports and performing data analysis.

🔑 What You Will Learn in This Video:
What is the SUM Function?
The SUM function is used to return the total sum of a numeric column in your database. It’s perfect for adding up values like totals, prices, and quantities.

Using SUM to Add Values in a Column:
Learn how to use SUM to find the total of values in a numeric column, such as summing up all sales amounts or all order quantities.

Using SUM with Conditions:
We’ll demonstrate how to use SUM with the WHERE clause to sum only the rows that meet specific criteria, such as summing sales for a particular region or date range.

Using SUM with GROUP BY:
Learn how to use SUM in combination with the GROUP BY clause to calculate totals for each group, such as total sales per employee or total orders per product.

Handling NULL Values with SUM:
Understand how SUM ignores NULL values and how to handle them in your queries.

By the end of this video, you'll be able to use the SUM function to quickly perform calculations and generate total values in your SQL queries.

👉 Watch the full MS SQL Tutorial Playlist here: [Insert Playlist Link]

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sql sum function, using sum in sql, sql aggregate functions, sum values in sql, sql sum tutorial, sql sum with where clause, sql sum with group by, sql sum example, sql sum distinct, sql aggregate query, sql total value, sum of numeric column sql, sum values with condition sql, sql sum function explained, learn sql, sql for beginners, sql query tips, sql data analysis
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