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Microsoft SQL Server 2016 Querying Essentials

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Microsoft SQL Server 2016 Querying Essentials

This 4 day course is intended for students who already have some experience with SQL and need to fast-track their querying skills to an advanced level. Effectively, this is the “Microsoft SQL Server 2016 Introduction to Querying” and “Microsoft SQL Server 2016 Advanced Querying” courses combined. This course may also prove beneficial to delegates wanting to refresh their existing querying skills.

You will find this to be a very comprehensive course, with plenty of illustrated examples and augmented with practical hands-on exercises. Additionally, with the course structure being fully modularised, customised versions of this course can also be devised and delivered to suit individual requirements. In fact, specific content from this course could also be combined with material from other related courses in order to produce a bespoke training package – just ask for details.

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 2016 Relational Database Design and Querying Fundamentals” course.

Moreover, students should ideally possess some experience of querying data with SQL in a Microsoft SQL Server environment. This is a fast paced course, and delegates will need the aptitude to quickly assimilate the material presented, and whether novice or experienced, should feel comfortable absorbing new ideas quickly.

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


  • Use SQL Server Management Studio for Querying Purposes
  • Understand the Components of Transact-SQL (T-SQL)
  • Retrieve Data from Tables Using the SELECT Statement
  • Filter Data Using the WHERE Clause
  • Sort Data Using the ORDER BY Clause
  • Use Functions Native to SQL Server
  • Conditionally Manipulate Data using the CASE Expression
  • Understand Native SQL Server Data Types
  • Query Data from Multiple Tables by Using Joins
  • Summarize and Group Data Using Aggregate Functions
  • Rank Data Using SQL Server Ranking Functions
  • Analysing Data with Window Functions
  • Combine and Limit Result Sets
  • Understand and Implement Subqueries
  • Implement Temporary Data Storage
  • Transform Data Using Pivot Operators
  • Understand Common Table Expressions (CTE’s)
  • Add, Remove, and Modify Rows of Data in a Table
  • Implement the MERGE Statement
  • Work with Native SQL Server Date and Time Data

1. Introduction to SQL Server Management Studio

Identifying the Elements of SSMS

Objects in a SQL Server Database

Database Diagrams

Components of a SQL Server Database Table

The Querying Environment

Creating a Script

Adding Comments to your Code

Categories of SQL Statements

ANSI-SQL and Transact-SQL (T-SQL)


2. Using the SELECT Statement to Retrieve Data

Examine the Basic Syntax of the SELECT Statement

Using String Literals and Expressions

Retrieving Columns of Data from a Table

Using Aliases for Column Names


3. Filtering Rows of Data with the WHERE Clause

How to Use the WHERE Clause

Overview of Operators

Filter Data by Using Comparison Operators

Filter Data by Using String Comparisons

Filter Data by Using Logical Operators

Filter Data Using a Range of Values

Filter Data Using a List of Values

Filter Data with NULL Values

Filtering Date and Time Data


4. Formatting and Sorting Result Sets

Sorting Data Using the ORDER BY Clause

Eliminating Duplicate Rows with DISTINCT

Introducing Native SQL Server Functions

Getting Help on Functions

Functions Relating to NULL Values

Using the CASE Expression


5. 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


6. Querying Data from Multiple Tables Using Joins

Introduction to Joins

Using Inner Joins

Using Outer Joins

Using Cross Joins

Using Aliases for Table Names

Joining More than Two Tables

Joining a Table to Itself (Self Join)

Using Non-Equi Joins


7. Summarizing Data Using Aggregate Functions

Using Aggregate Functions Native to SQL Server

Using Aggregate Functions with NULL Values

Grouping Summarized Data with GROUP BY

Filtering Grouped Data Using the HAVING Clause

Using the ROLLUP and CUBE Operators



8. Ranking Grouped Data


Using RANK




9. Analysing Data with Window Functions

Aggregate Window Functions

Analytic Window Functions


10. Combining and Limiting Result Sets

Combining Result Sets Using the UNION Operator

Using the EXCEPT and INTERSECT Operators

Limiting Result Sets Using the TOP Operator



11. Working with Subqueries

Using Subqueries as Expressions and Derived Tables

Using Correlated Subqueries

Using EXISTS with Correlated Subqueries

Using the APPLY Operator


12. Temporary Storage

Table Variables

Temporary Tables


13. Crosstab Queries

Using the PIVOT Operator

Using the UNPIVOT Operator


14. Common Table Expressions

Using Common Table Expressions

Recursive Queries Using Common Table Expressions


15. Inserting Data into Tables

Inserting a Single Row into a Table

Inserting Multiple Rows into a Table

Inserting Values into Identity Columns


Differentiating Various INSERT Statements

Using the OUTPUT Clause with INSERT


16. Deleting Data from Tables

Deleting Rows from a Table

Truncating a Table

Deleting Rows Based on Data in Other Tables

Using the OUTPUT Clause with DELETE


17. Updating Data in Tables

Updating Rows in a Table

Updating Rows Based on Data in Other Tables

Using the OUTPUT Clause with UPDATE


18. Merging Data

The MERGE Statement

Practical Examples of Using MERGE


19. 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