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Course Outline
DQL (Data Query Language)
- Correlations within FROM, WHERE, SELECT, and HAVING clauses
- Understanding correlation and its impact on performance
- Leveraging CASE, IF, and COALESCE functions
- Working with variables
- Data casting and conversion
- Managing NULL values and NULL-safe operators
- Applying regular expressions with the REGEXP operator
- MySQL-specific GROUP BY functions, such as GROUP_CONCAT
- Utilizing GROUP BY WITH ROLLUP
- Employing EXISTS, ALL, and ANY
- Implementing multi-table OUTER JOINs
- Converting subqueries into joins
DML (Data Modification Language)
- Performing multi-row inserts
- Inserting data via SELECT statements
- Incorporating subqueries into DML statements
- Using variables within DML queries
- Locking tables and rows
- Updating data across multiple tables
- The IGNORE clause
- The REPLACE clause
- Understanding the differences between DELETE and TRUNCATE
DDL (Data Definition Language)
- Creating tables from SELECT results
- Working with temporary tables
Stored Procedures
- A brief introduction to MySQL stored procedures
Requirements
A strong grasp of SQL is required.
7 Hours
Testimonials (3)
It was very interactive and it kept us interested.
Raluca Alexandra PUNGA
Course - SQL Fundamentals
Small group, in-person for 3 days,
Annina - Ricardo AG
Course - SQL: Basics to Intermediate
I liked the pace of the training and the level of interaction. All participants were encouraged to actively partake in discussions around exercise solutions, etc.
