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Course Outline
DQL (Data Query Language)
- Understanding correlations within FROM, WHERE, SELECT, and HAVING clauses
- Examining the relationship between correlation and performance
- Implementing CASE, IF, and COALESCE functions
- Utilizing variables effectively
- Performing casting and data conversion
- Managing NULL values and employing NULL-safe operators
- Applying regular expressions via the REGEXP operator
- Leveraging MySQL-specific grouping functions (e.g., GROUP_CONCAT)
- Using GROUP BY WITH ROLLUP
- Working with EXISTS, ALL, and ANY operators
- Executing multitable OUTER JOINs
- Transforming subqueries into joins
DML (Data Modification Language)
- Performing multi-row inserts
- Inserting data via SELECT
- Incorporating subqueries into DML statements
- Using variables within DML queries
- Locking tables and individual rows
- Updating data across multiple tables
- Utilizing the IGNORE clause
- Utilizing the REPLACE clause
- Comparing DELETE and TRUNCATE operations
DDL (Data Definition Language)
- Creating tables from SELECT results
- Working with temporary tables
Stored Procedures
- A brief introduction to MySQL stored procedures
Requirements
Proficiency in 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.
