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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
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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