Learn how to use aggregate functions in SQL, including MAX, MIN, and AVG.
- [Instructor] Using SQL queries, with aggregate functions…in Oracle is quite straightforward.…Let's see a simple example in action before we go into…the more advance use cases in our next videos.…So we start by selecting the top…earning employee in our company.…To accomplish that, all we have to do is type…select max(salary) from employees…executing this query will give us back one output,…the highest salary out of all employees in our company.…
I can also add additional aggregate functions to my query.…For example, min(salary) and avg(salary).…Producing a result set showing us the highest salary in our…company, the lowest salary in our company and the average…salary, which is as you can see, a very very precise value.…We can round the average salary value…by nesting the averge function inside a round function,…producing a much more readable output.…
I can also use the count function to see…how many employees I have in my company in total.…So select count(*) from employees.…I see that I have 107 employees.…I can also see how many departments I have by typing…
Note: This training course is appropriate for beginning database developers with no prior experience with SQL or Oracle.
- Using Oracle SQL*Developer, the free development environment
- Selecting data from tables
- Filtering data
- Using functions to manipulate data
- Joining data from tables
- Creating tables
- Updating values
- Truncating data
- Grouping and ordering result sets
- Working with primary keys
- Checking constraints
Skill Level Beginner
Database Foundations: Core Conceptswith Adam Wilbert2h 14m Beginner
Database Foundations: Administrationwith Adam Wilbert1h 14m Beginner
Oracle 12c Database: Administrationwith David Yahalom3h 58m Beginner
1. Introduction to SQL
2. Preparing the Course Environment
Downloading the course VM2m 16s
3. Using Oracle SQL Developer
4. Basic SELECT Queries
5. String, Number, and Date Functions
6. Joining Table Data
7. Manipulating Data
8. Grouping Data
9. Advanced Topics
Next steps1m 33s
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