Advance your database and data management skills with SQL Intermediate to Advanced Training, a practical course designed for developers, database professionals, data analysts, and IT specialists who already understand SQL fundamentals and want to work confidently with more complex database queries and advanced SQL techniques.

 

Duration 4 days – 28 hrs

 

Overview

The SQL Intermediate to Advanced Training Course is designed for professionals who already have a working knowledge of SQL and want to enhance their database querying, reporting, performance tuning, and data management skills. This hands-on course focuses on advanced SQL techniques used in real-world business environments, including complex joins, subqueries, Common Table Expressions (CTEs), window functions, stored procedures, views, indexing, query optimization, and advanced data analysis techniques.

Participants will learn how to write efficient and scalable SQL queries, improve database performance, automate database tasks, and develop advanced reporting solutions. Through practical exercises and case studies, attendees will gain the confidence to work with large datasets and support data-driven decision-making within their organizations.

 

Objectives

• Write complex SQL queries for business reporting and analytics. 
• Utilize advanced JOIN operations and subqueries effectively. 
• Apply Common Table Expressions (CTEs) and recursive queries. 
• Use window functions and analytical SQL techniques. 
• Create and manage database views and stored procedures. 
• Implement indexing strategies to improve query performance. 
• Analyze and optimize SQL query execution plans. 
• Perform advanced data manipulation and transformation tasks. 
• Apply SQL best practices for enterprise database environments. 
• Develop reusable and efficient SQL scripts for reporting and operations.

 

Target Audience

• Database Administrators (DBAs) 
• Database Developers 
• Data Analysts 
• Business Intelligence Professionals 
• Application Developers 
• Reporting Specialists 
• Data Engineers 
• IT Professionals working with databases 

 

Prerequisites 

• Basic to Intermediate SQL knowledge 
• Experience writing SELECT, INSERT, UPDATE, and DELETE statements 
• Familiarity with relational database concepts 
• Understanding of primary keys, foreign keys, and database normalization 
• Experience using SQL Server, MySQL, PostgreSQL, Oracle, or similar database platforms

Course Outline 

 

Day 1 – Advanced Querying Techniques

Module 1: SQL Refresher and Best Practices

• SQL Fundamentals Review 
• Relational Database Concepts 
• Data Integrity and Constraints 
• SQL Coding Standards and Best Practices 

Module 2: Advanced Joins

• Review of INNER, LEFT, RIGHT, and FULL JOINs 
• Self Joins 
• Cross Joins 
• Multi-table Joins 
• Complex Join Scenarios 
• Join Optimization Techniques 

Module 3: Advanced Subqueries

• Scalar Subqueries 
• Correlated Subqueries 
• Nested Subqueries 
• EXISTS and NOT EXISTS 
• IN vs EXISTS Performance Considerations 

       Hands-On Lab

• Complex Multi-Table Reporting Queries 
• Business Reporting Exercises 

 

Day 2 – Common Table Expressions and Analytical SQL

Module 4: Common Table Expressions (CTEs)

• Introduction to CTEs 
• Recursive CTEs 
• Replacing Complex Subqueries 
• Organizing Query Logic 

Module 5: Set Operators

• UNION 
• UNION ALL 
• INTERSECT 
• EXCEPT / MINUS 
• Data Consolidation Techniques 

Module 6: Window Functions and Analytics

• OVER Clause 
• ROW_NUMBER() 
• RANK() 
• DENSE_RANK() 
• NTILE() 
• LEAD() and LAG() 
• Running Totals 
• Moving Averages 
• Year-over-Year Comparisons 

       Hands-On Lab

• Analytical Reporting Scenarios 
• Ranking and Trend Analysis 

 

Day 3 – Database Programming and Automation

Module 7: Database Views

• Creating Views 
• Updating Through Views 
• Security Benefits of Views 
• Indexed Views Concepts 

Module 8: Stored Procedures

• Creating Stored Procedures 
• Parameters and Variables 
• Conditional Logic 
• Error Handling 
• Best Practices 

Module 9: Functions

• Scalar Functions 
• Table-Valued Functions 
• User-Defined Functions 
• Function Performance Considerations 

Module 10: Transactions and Concurrency

• ACID Principles 
• Transaction Management 
• COMMIT and ROLLBACK 
• Savepoints 
• Locking Concepts 
• Deadlocks and Prevention 

       Hands-On Lab

• Building Reusable Database Objects 
• Transaction Management Exercises 

 

Day 4 – Performance Tuning and Advanced SQL Optimization

Module 11: Indexing Fundamentals and Advanced Concepts

• Clustered vs Non-Clustered Indexes 
• Composite Indexes 
• Covering Indexes 
• Index Maintenance 
• Index Fragmentation 

Module 12: Query Performance Tuning

• Understanding Execution Plans 
• Identifying Bottlenecks 
• Optimizing JOINs 
• Optimizing Subqueries 
• Query Rewriting Techniques 

Module 13: Advanced Data Manipulation

• MERGE Statements 
• Bulk Data Operations 
• Data Cleansing Techniques 
• Data Transformation Strategies 

Module 14: SQL Security and Best Practices

• SQL Injection Prevention 
• Secure Coding Practices 
• User Permissions and Roles 
• Auditing and Monitoring 

Capstone Exercise

• End-to-End Database Reporting Solution 
• Query Optimization Challenge 
• Performance Tuning Workshop