Plan Szkolenia
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
Wymagania
- Basic understanding of SQL
- Familiarity with relational databases
- Intermediate-level programming experience, preferably in SQL
Audience
- Database administrators
- SQL developers
- Data analysts
Opinie uczestników (5)
Szkolenie prowadzone w sposób przykuwający uwagę
Karol - Centralny Ośrodek Informatyki
Szkolenie - Nagios XI Administration
Trener dostosował materiały i treści do tego, co uważał za najlepsze dla nas i udało mu się. Jakość szkolenia była doskonała.
Jorge Sanchez Hernandez - CSMART - Carnival
Szkolenie - QGIS for Geographic Information System
Przetłumaczone przez sztuczną inteligencję
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Szkolenie - Data Analysis with SQL, Python and Spotfire
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Szkolenie - Advanced Data Analysis with TIBCO Spotfire
It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.