Advanced Querying Techniques in SQL Server
Learn practical T‑SQL patterns for querying complex SQL Server data
Advanced Querying Techniques in SQL Server is a concise course taught by Gerald Britton that focuses on practical T‑SQL solutions for complex data challenges in SQL Server. It frames advanced querying as applied skills for transforming, aggregating, and interrogating both relational and non‑relational schema patterns.
The course demonstrates recursive CTEs for hierarchical traversal, PIVOT and UNPIVOT for reshaping data, Entity‑Attribute‑Value (EAV) approaches for flexible schemas, and sampling techniques for analysis and testing. The emphasis is on actionable patterns and query recipes that learners can implement directly in production or analysis workflows.
At a Glance
Advanced Querying Techniques in SQL Server is a focused course taught by Gerald Britton that introduces advanced T‑SQL querying patterns and approaches.
It covers hierarchical querying with recursive CTEs, techniques for pivoting and unpivoting tabular data, flexible semantic/EAV modeling when schemas are irregular, and approaches for sampling data for analysis and testing.
| Level | Beginner |
| Rating | 4.6 out of 5 |
| Duration | 1+ hours |
| Languages | English |
| Certificate | Certificate of completion |
| Access | Access for as long as your subscription is active |
| Course includes |
|
| Price | Included with subscription |
What This Course Teaches
Learners finish the course with measurable SQL skills for transforming and querying complex or non‑standard datasets. These competencies focus on practical techniques you can apply directly: hierarchical traversal, pivoting and unpivoting tables, flexible EAV-style modeling, and sampling strategies for analysis and testing.
How the Course Is Structured
The course is delivered as a sequence of short, focused video lessons totaling 30 clips and running about 1 hour 13 minutes in all. It’s organized into concise topical segments so learners can consume individual clips on demand and progress at their own pace while covering an overview, hierarchical querying, pivoting and unpivoting, semantic/EAV modeling, sampling techniques, and a brief wrap‑up.
Audience & Requirements
This course is aimed at developers, DBAs, and analysts who want to extend their practical T‑SQL toolbox for real‑world SQL Server work. It suits early‑career database professionals and data engineers looking to add techniques for hierarchical queries, pivoting/unpivoting, flexible attribute models, and sampling to their skillset.
- Database developers and SQL Server DBAs expanding query capabilities.
- Data analysts and BI developers preparing advanced reporting queries.
- Application developers who write or optimize T‑SQL for SQL Server backends.
- Students or professionals transitioning into data roles who already know basic SQL.
- Familiarity with basic SQL/relational concepts (SELECT, JOINs, aggregates).
- Access to a SQL Server instance or sample database for running queries (local or hosted).
- A SQL client such as SQL Server Management Studio or an equivalent query tool.
Note: Although the course is labeled Beginner, several modules assume comfort with foundational T‑SQL; learners new to SQL should review basic SELECT/join/aggregate concepts before starting.
Final Verdict
This course is a practical, time‑efficient way to add advanced T‑SQL techniques to your toolkit. Given its strong platform rating and inclusion with the subscription offering, it is a low‑risk option for professionals who want focused, immediately applicable query skills without a large time investment.
Recommended for database developers, DBAs, BI analysts, and application engineers who already write SQL as part of their work. Learners new to SQL should first complete a foundational course so they can fully benefit from the advanced patterns and workflows taught here.
