Join our intensive 3-day workshop, „Advanced SQL Database Training with AI Integration,“ designed for Data Analysts, Data Engineers, and IT Professionals with intermediate SQL knowledge. This hands-on training will immerse you in advanced SQL techniques and the use of AI tools to enhance your productivity and query efficiency within the Snowflake data platform. Engage in practical exercises and real-world scenarios to ensure you gain the skills necessary to effectively utilize advanced SQL features and AI assistance in your organization. Join us and elevate your data analysis capabilities with the power of advanced SQL and AI!
Format
Mostly workshops
Duration
3 days
Prerequisites
Good understanding of basic SQL concepts, including SELECT statements, basic joins, and aggregate functions.
Target Audience
Data Analysts
Data Engineers with intermediate SQL knowledge
IT Professionals involved in data analysis
Anyone interested in enhancing their data analysis skills using Snowflake
Training Program
Using an AI Co-pilot to Write SQL Queries
Overview of AI tools in Snowflake
Enhancing productivity with AI assistance
Prompting
Creating efficient queries with AI Co-pilot: Crafting effective SQL queries, metadata
Advanced Aggregations
Understanding ROLLUP, CUBE, and GROUPING SETS
Practical examples and use cases
Using the GROUPING function to format results
Hands-on exercise: Creating comprehensive reports using ROLLUP and CUBE
Advanced Joins
Concept and use cases of non-equi joins
Hands-on exercise: Analyzing data ranges using non-equi joins
Understanding self-joins and their applications
Practical examples of self-joins
Hierarchical data analysis
Practical use of Cartesian products
Set Operators,Cartesian Products
Introduction to set operators (UNION, INTERSECT, EXCEPT)
Combining query results from multiple tables
Limitations and sorting results with set operators
Hands-on exercise: Merging customer data from different sources
Advanced Subqueries
Correlated subqueries and their applications
Using EXISTS and NOT EXISTS
Multi-column subqueries
Hands-on exercise: Complex filtering with correlated subqueries
Introduction to the WITH clause
Enhancing query readability and maintainability
Hands-on exercise: Simplifying complex queries with the WITH clause
Hands-on exercise: trend analysis with window functions
Pivoting
Using PIVOT and UNPIVOT for creating pivot tables
Practical examples of pivoting data
Regular Expressions
Introduction to regular expressions in SQL
Hands-on exercise: Data transformation and pattern matching using regular expressions
Acquired skills
By the end of this workshop, participants will be well-equipped with the knowledge and hands-on experience needed to master advanced SQL queries and leverage AI for optimizing data operations.