Training on Advanced SQL and Database Optimization

Module 1: Advanced SQL Concepts

• Common Table Expressions (CTEs)
• Window functions
• Recursive queries
• Subqueries and correlated subqueries
• Case statements and conditional logic
• Regular expressions
• Full outer joins and anti-joins
• Case Study: Building advanced reporting queries for a retail sales database
• Practical: Write complex SQL queries using CTEs, window functions, and joins

Module 2: Query Optimization Fundamentals

• Explain plans and query execution
• Indexing concepts and best practices
• Query performance tuning techniques
• Identifying performance bottlenecks
• Query rewrite and optimization strategies
• Case Study: Improving slow-performing queries in a banking system
• Practical: Analyze and optimize query execution plans

Module 3: Index Optimization

• Index types (B-tree, bitmap, functional)
• Index creation and management
• Index usage and performance analysis
• Index fragmentation and reorganization
• Covering indexes and index hints
• Case Study: Optimizing search performance in an e-commerce database
• Practical: Create and test different index strategies for performance improvement

Module 4: Database Design and Modeling

• Normalization and denormalization
• Data warehousing concepts (star schema, snowflake schema)
• Dimensional modeling
• Data mart design
• Data modeling tools and techniques
• Case Study: Designing a data warehouse for a business intelligence system
• Practical: Build a star schema model for a sample business scenario

Module 5: Performance Tuning Techniques

• Parameter tuning
• Memory management
• I/O optimization
• Parallel query processing
• Partitioning strategies
• Case Study: Performance tuning of a high-traffic transactional database
• Practical: Apply tuning techniques to improve query response time

Module 6: Database Monitoring and Troubleshooting

• Monitoring tools and metrics
• Identifying and resolving performance issues
• Troubleshooting techniques
• Database auditing and security
• Case Study: Diagnosing and resolving database downtime in production
• Practical: Use monitoring tools to identify and fix performance issues

Module 7: SQL for Data Analysis

• Data aggregation and summarization
• Statistical functions
• Data visualization techniques
• Reporting and dashboard development
• Case Study: Building a sales performance dashboard using SQL
• Practical: Generate analytical reports from a dataset using SQL

Module 8: Advanced SQL Programming

• Stored procedures and functions
• Triggers
• Dynamic SQL
• User-defined data types
• SQL scripting
• Case Study: Automating business processes using stored procedures and triggers
• Practical: Develop a stored procedure-based workflow system

Module 9: Database Optimization Tools and Techniques

• Database performance monitoring tools (e.g., Oracle AWR, SQL Server Profiler)
• Query optimization tools (e.g., EXPLAIN, EXPLAIN ANALYZE)
• Database tuning advisors
• Database automation tools
• Case Study: Using performance tools to optimize enterprise database systems
• Practical: Run and interpret database tuning reports

Module 10: Real-World Case Studies and Projects

• Applying advanced SQL and optimization techniques to real-world scenarios
• Case Study: End-to-end optimization of a large-scale enterprise database
• Practical: Complete a full SQL optimization project from analysis to implementation