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Description

Our Advanced SQL Language training is designed for database developers and IT professionals who want to take their SQL skills to the next level. This training focuses on the advanced features and techniques that enable professionals to write complex SQL queries and optimize database performance. The training will cover advanced SQL concepts such as subqueries, set operators, window functions, and common table expressions, as well as advanced data manipulation techniques using views and stored procedures. Participants will also learn how to work with advanced database objects such as triggers and user-defined functions.

Day 1:

  • Review of Basic SQL Language Concepts
  • Advanced Query Techniques
  • Subqueries and Set Operators
  • Working with Views and Stored Procedures

Day 2:

  • Optimizing Query Performance with Indexes
  • Common Table Expressions (CTEs)
  • Window Functions
  • Advanced-Data Manipulation

Day 3:

  • Working with Advanced Database Objects
  • Triggers and User-Defined Functions
  • Common SQL Mistakes and Pitfalls
  • Best Practices for SQL Coding and Maintenance

This training course is suitable for database developers, data analysts, IT professionals, and anyone who works with SQL databases on a regular basis. Participants should have a solid understanding of basic SQL concepts, such as querying, reporting, and data manipulation.

Participants should have the following prerequisites: 

  • Familiarity with SQL concepts and syntax 
  • Experience working with SQL databases in a production environment 
  • Basic understanding of database administration and management tools 
  • Experience with basic SQL querying and reporting

By the end of this course, participants will be able to: 

  • Write complex queries using advanced SQL language features 
  • Optimize query performance using indexes, views, and stored procedures 
  • Use advanced SQL functions and operators for data manipulation 
  • Work with advanced database objects, such as triggers and user-defined functions 
  • Implement best practices for SQL coding and maintenance

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