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Course Outline
DQL (Data Query Language)
- Correlations within FROM, WHERE, SELECT, and HAVING clauses
- The relationship between correlation and performance
- Utilizing CASE, IF, and COALESCE functions
- Implementing variables in queries
- Data casting and conversion techniques
- Managing NULL values and NULL-safe operators
- Applying regular expressions with the REGEXP operator
- MySQL-specific grouping functions such as GROUP_CONCAT
- GROUP BY with ROLLUP
- Using EXISTS, ALL, and ANY operators
- Performing multi-table OUTER JOINs
- Converting subqueries into JOINs
DML (Data Modification Language)
- Executing multi-row inserts
- Inserting data via SELECT statements
- Incorporating subqueries within DML statements
- Utilizing variables in DML queries
- Implementing table and row locking mechanisms
- Updating data across multiple tables
- Using the IGNORE clause
- Using the REPLACE clause
- Comparing DELETE and TRUNCATE operations
DDL (Data Definition Language)
- Creating tables using SELECT
- Working with temporary tables
Stored Procedures
- Brief introduction to MySQL stored procedures
Requirements
Proficient knowledge 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.
