Introduction
As database applications grow in complexity, basic T-SQL queries often fall short. You might need to calculate running totals across time periods, validate data against complex patterns, find customers with similar names despite misspellings, or traverse hierarchical relationships like organizational charts. Without advanced T-SQL knowledge, developers often resort to processing data in application code—moving large datasets across the network, writing custom logic that duplicates built-in database capabilities, and losing the performance benefits of set-based operations.
Understanding advanced T-SQL capabilities enables you to solve these challenges directly in the database engine, where data processing is most efficient. These skills separate database professionals who can only write basic queries from those who can architect complete data solutions. Whether you're building reporting systems, data pipelines, or application backends, mastering these techniques reduces code complexity, improves performance, and makes your solutions more maintainable.
What you'll learn
In this module, you'll learn advanced T-SQL techniques for SQL Server, Azure SQL Database, and SQL databases in Microsoft Fabric. You'll explore:
- Common Table Expressions (CTEs) for organizing complex queries and traversing hierarchical data
- Window functions for ranking, aggregation, and analytical calculations across row sets
- JSON functions for parsing, constructing, and transforming JSON data
- Regular expressions for pattern matching, validation, and text manipulation
- Fuzzy string matching for finding approximate matches in your data
- Graph queries using the MATCH operator for relationship traversal
- Correlated queries for row-by-row comparisons and calculations
- Error handling patterns for building reliable, production-ready code
By the end of this module, you'll be able to write T-SQL code that handles complex analytical scenarios, processes modern data formats, and responds gracefully to unexpected situations.