Duration 3 days – 21 hrs
Overview
The Advanced SQL Training Course is designed for professionals who already have a solid understanding of SQL and wish to deepen their expertise in advanced querying techniques, optimization strategies, and data manipulation in complex database environments. This course equips participants with the skills needed to work with large datasets, perform in-depth analysis, create efficient queries, and understand performance tuning in real-world enterprise databases.
Objectives
- Write advanced SQL queries using subqueries, CTEs, window functions, and complex joins
- Implement performance tuning strategies for query optimization
- Use advanced data types and built-in functions effectively
- Work with stored procedures, functions, and triggers
- Understand indexing strategies and execution plans
- Perform complex data aggregation and pivoting
- Apply SQL in real-world scenarios for data analysis and reporting
Audience
- Data Analysts
- Database Administrators
- Software Developers
- Business Intelligence Professionals
- IT Professionals handling data-intensive applications
Pre- requisites
- Completion of a Basic or Intermediate SQL course
- Solid understanding of fundamental SQL concepts (SELECT, JOIN, GROUP BY, basic subqueries)
Course Content
Day 1: Advanced Query Techniques
- Review of Core SQL Concepts
- Subqueries: Correlated vs. Non-Correlated
- Common Table Expressions (CTEs)
- Advanced JOINs (SELF JOIN, FULL OUTER JOIN, CROSS JOIN)
- Set Operations: UNION, INTERSECT, EXCEPT
- CASE Expressions and Conditional Aggregation
Day 2: Performance Optimization & Functions
- Query Execution Plans
- Indexing Strategies
- Query Optimization Tips & Techniques
- Window Functions (RANK, DENSE_RANK, NTILE, LEAD/LAG)
- Advanced Aggregation Techniques (ROLLUP, CUBE, GROUPING SETS)
- Temporary Tables and Table Variables
Day 3: Stored Procedures, Triggers & Real-World Applications
- Creating and Using Stored Procedures and Functions
- Working with Triggers (INSERT, UPDATE, DELETE)
- Error Handling in SQL
- Transactions and Concurrency Control
- Real-World Reporting and Data Analysis Scenarios
- Case Studies & Hands-on Lab Exercises
