Course Outline

DQL (Data Query Language)

  • Correlation in FROM, WHERE, SELECT, and HAVING clauses for government
  • Correlation and performance optimization
  • Using CASE, IF, COALESCE functions in queries
  • Utilizing variables in DQL statements
  • Casting and converting data types
  • Handling NULL values and using NULL-safe operators
  • Incorporating regular expressions with the REGEXP operator
  • Leveraging MySQL-specific group by functions (GROUP_CONCAT, etc.) for enhanced data manipulation
  • Understanding GROUP BY WITH ROLLUP for comprehensive data aggregation
  • Utilizing EXISTS, ALL, and ANY for complex query conditions
  • Implementing multitable OUTER JOIN operations
  • Rewriting subqueries as joins to improve performance

DML (Data Modification Language)

  • Executing multi-row inserts for efficient data entry
  • Using INSERT by SELECT to populate tables from existing data
  • Incorporating subqueries in DML statements for dynamic data modification
  • Utilizing variables in DML queries for flexibility and reusability
  • Locking tables and rows to ensure data integrity during modifications
  • Updating data across multiple tables simultaneously
  • Applying the IGNORE clause to handle duplicate entries
  • Utilizing the REPLACE clause for conditional data insertion or updating
  • Differentiating between DELETE and TRUNCATE operations for data removal

DDL (Data Definition Language)

  • Creating tables using SELECT statements to replicate data structures
  • Utilizing temporary tables for transient data storage and processing

Stored Procedures

  • Brief introduction to MySQL stored procedures for streamlined query execution

Requirements

Strong proficiency in SQL is essential for government data management and analysis tasks.

 7 Hours

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