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Microsoft SQL Server - Advanced Querying 2 Days

Course Overview

This 2-day course is intended for students who have taken the “Microsoft SQL Server Introduction to Querying” * course, or possess equivalent knowledge gained in the workplace or elsewhere. It may also prove beneficial to delegates wanting to refresh their current knowledge of the subject matter.



Microsoft SQL Server - Advanced Querying

Applies to all versions from SQL Server 2012 through to SQL 2022


2 days




Take your querying skills to a new level with this advanced course. Gain a deeper insight into your data and understand how SQL Server internally handles the data you query. Learn how to manipulate data in new and meaningful ways for the purposes of data analysis and reporting. Learn useful techniques for querying temporal data, such as working with date intervals and data islands. Consider best practices for writing efficient queries and avoid common pitfalls.

You will find that this is a comprehensive course for this level, with plenty of illustrated examples and augmented with practical hands-on exercises.



Students should ideally be familiar with basic programming concepts.

They should also understand the fundamental design of relational databases including, but not restricted to, the purpose of primary and foreign keys, entity relationships, and data normalization. These prerequisites can be met by taking the 2 day “Microsoft SQL Server and Relational Database Design and Querying Fundamentals” * course.

Additionally, delegates should have attended the 2 day “Microsoft SQL Server Introduction to Querying” * course, or possess equivalent knowledge gained in the workplace or elsewhere.



Upon successful completion of this course, students will be able to:

• Use Functions Native to SQL Server

• Manipulate NULL Values in Queries

• Conditionally Manipulate Data using the CASE Expression

• Understand Native SQL Server Data Types

• Implement Variables

• Implement Advanced Join Techniques

• Aggregate Data to Higher Grouping Levels

• Rank Data Using SQL Server Ranking Functions

• Analyse Data with Window Functions

• Restrict Data Result Sets

• Correlate Data with the APPLY Operator

• Implement Temporary Data Storage

• Transform Data Using Pivot Operators

• Understand Common Table Expressions (CTE’s)

• Work with Native SQL Server Date and Time Data

• Implement Advanced Data Modification Techniques

• Understand the Role of Transactions in SQL Server

• Understand the Role of Views in SQL Server Databases




Using Functions in Queries

Introducing Native SQL Server Functions Getting Help on Functions

Functions Relating to NULL Values Using the CASE Expression


Working with SQL Server Data Types

Native SQL Server Data Types Data Type Precedence

Implicit Data Type Conversions

Explicit Data Type Conversion Functions Working with Variables

Using Batches


Advanced Table Join Techniques

Reviewing Joins

Joining a Table to Itself (Self Join) Using Non-Equi Joins


Aggregating Data at Higher Levels

Reviewing SQL Server Aggregate Functions Using the ROLLUP and CUBE Operators Using GROUPING SETS


Ranking Grouped Data Window Functions that Rank Data Using ROW_NUMBER

Using RANK



Analysing Data with Window Functions

Aggregate Window Functions Analytic Window Functions

Restricting Result Sets

Reviewing the UNION and TOP Operators Using the EXCEPT and INTERSECT Operators


Advanced Subqueries Reviewing Subqueries Using the APPLY Operator


Temporary Storage Table Variables Temporary Tables


Crosstab Queries

Using the PIVOT Operator Using the UNPIVOT Operator


Common Table Expressions

Introduction to Common Table Expressions Using Common Table Expressions

Recursive Queries Using Common Table Expressions


SQL Server Date and Time Data Types

Understanding SQL Server Date and Time Data Types Querying and Modifying Date and Time Data

Native SQL Server Date and Time Functions Guidelines and Techniques for Querying Dates


Advanced Data Modification Techniques

Using the OUTPUT Clause, The MERGE Statement


Introduction to Transactions

What is a Transaction?

How SQL Server Modifies Data in Tables


Appendix. Introduction to Views (If Time Allows)

Introducing Views

Creating and Modifying a View Querying Data Through a View