The SQL language provides the capabilities to filter based on partial string values. In this video, learn how to filter using partial strings values with the LIKE % keyword and more.
- [Instructor] We are not only restricted to filtering…our data using numbers,…we can also filter based on certain string values.…So for example, instead of asking the database to return…all employees who has a certain salary, or are assigned…to specific departments based on the department number,…let's see how we can return all employees whose…first name start with the letter E.…So let's delete the WHERE condition,…keeping the WHERE keyword,…and type first_name like,…which can be lowercase or uppercase,…similar to other reserved word in our…SQL query, and then specify the condition.…
So for example, if I want all employees whose first name…starts with the letter E, I'll type LIKE, add a…quotation mark, because I'm going to filter based on…string values characters instead of numbers,…the letter E and then the percentage symbol,…followed by another quotation mark.…This instructs Oracle to search for rows where the value…in the first name column starts with the letter E.…
The percentage symbol, followed by the letter E, instructs…
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
Oracle 12c Database: Administrationwith David Yahalom3h 58m Beginner
Database Foundations: Core Conceptswith Adam Wilbert2h 14m Beginner
Database Foundations: Administrationwith Adam Wilbert1h 14m 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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