Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- What are Analytic Functions?
- Benefits and use cases
- Overview of common Analytic Functions
Basic Analytic Functions
- ROW_NUMBER(), RANK(), DENSE_RANK()
- Understanding PARTITION BY and ORDER BY clauses
- Examples and use cases
Statistical Analytic Functions
- SUM(), AVG(), MIN(), MAX()
- LEAD() and LAG()
- Use cases and scenarios
Windowing Clause
- Exploring the WINDOWING clause
- Understanding UNBOUNDED, CURRENT ROW, and N PRECEDING/FOLLOWING
- Practical applications
Advanced Analytic Functions
- FIRST_VALUE() and LAST_VALUE()
- PERCENTILE_CONT() and PERCENTILE_DISC()
- Use cases and comparisons
Complex Queries with Analytic Functions
- Combining Analytic Functions with GROUP BY
- Nested Analytic Functions
- Real-world examples
Optimizing Analytic Functions
- Efficient use of Analytic Functions in large datasets
- Analyzing query performance
- Indexing strategies
Troubleshooting and Best Practices
- Identifying and resolving common issues
- Best practices for writing efficient queries
- Tips for maintaining and updating Analytic Function queries
Summary and Next Steps
Requirements
- Basic understanding of SQL
- Familiarity with relational databases
- Intermediate-level programming experience, preferably in SQL
Audience
- Database administrators
- SQL developers
- Data analysts
21 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
