Querying Data with Transact-SQL

Course Code: 5071

Overview
Schedule classes
What you'll learn
Outline
Prerequisites
Who should attend

Overview

This intermediate-level course is designed to help participants learn the basics of Transact-SQL for Microsoft SQL Server 2016. The course provides a core understanding of the Transact-SQL language which is used by all SQL Server-related disciplines – database administration, database development and business intelligence.

Schedule Classes

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 5 days

Live Virtual Classroom
Duration: 5 days

What You'll learn

Describe key capabilities and components of SQL Server
Describe T-SQL, sets, and predicate logic
Write a single table SELECT statement
Write a multi-table SELECT statement
Write SELECT statements with filtering and sorting
Describe how SQL Server uses data types
Write DML statements
Write queries that use built-in functions
Write queries that aggregate data
Write subqueries
Create and implement views and table-valued functions
Use set operators to combine query results
Write queries that use window ranking, offset, and aggregate functions
Transform data by implementing pivot, unpivot, rollup and cube
Create and implement stored procedures
Add programming constructs such as variables, conditions, and loops to T-SQL code

Outline

Module 1: Introduction to Microsoft SQL Server

The Basic Architecture of SQL Server
SQL Server Editions and Versions
Getting Started with SQL Server Management Studio
Lab: Working with SQL Server Tools
- Working with SQL Server Management Studio
- Creating and Organizing T-SQL Scripts
- Using Books Online

Module 2: Introduction to T-SQL Querying

Introducing T-SQL
Understanding Sets
Understanding Predicate Logic
Understanding the Logical Order of Operations in SELECT statements
Lab: Introduction to T-SQL Querying
- Executing Basic SELECT Statements
- Executing Queries that Filter Data using Predicates
- Executing Queries That Sort Data Using ORDER BY

Module 3: Writing SELECT Queries

Writing Simple SELECT Statements
Eliminating Duplicates with DISTINCT
Using Column and Table Aliases
Writing Simple CASE Expressions
Lab: Writing Basic SELECT Statements
- Writing Simple SELECT Statements
- Eliminating Duplicates Using DISTINCT
- Using Column and Table Aliases
- Using a Simple CASE Expression

Module 4: Querying Multiple Tables

Understanding Joins
Querying with Inner Joins
Querying with Outer Joins
Querying with Cross Joins and Self Joins
Lab: Querying Multiple Tables
- Writing Queries that use Inner Joins
- Writing Queries that use Multiple-Table Inner Joins
- Writing Queries that use Self-Joins
- Writing Queries that use Outer Joins
- Writing Queries that use Cross Joins

Module 5: Sorting and Filtering Data

Sorting Data
Filtering Data with Predicates
Filtering Data with TOP and OFFSET-FETCH
Working with Unknown Values
Lab: Sorting and Filtering Data
- Writing Queries that Filter Data using a WHERE Clause
- Writing Queries that Sort Data Using an ORDER BY Clause
- Writing Queries that Filter Data Using the TOP Option
- Write Queries that filter data using the OFFSET-FETCH clause

Module 6: Working with SQL Server Data Types

Introducing SQL Server Data Types
Working with Character Data
Working with Date and Time Data
Lab: Working with SQL Server Data Types
- Writing Queries that Return Date and Time Data
- Writing Queries that use Date and Time Functions
- Writing Queries That Return Character Data
- Writing Queries That Return Character Functions

Module 7: Using DML to Modify Data

Adding Data to Tables
Modifying and Removing Data
Generating automatic column values
Lab: Using DML to Modify Data
- Inserting Records with DML
- Updating and Deleting Records Using DML

Module 8: Using Built-In Functions

Writing Queries with Built-In Functions
Using Conversion Functions
Using Logical Functions
Using Functions to Work with NULL
Lab: Using Built-In Functions
- Writing Queries That Use Conversion Functions
- Writing Queries that use Logical Functions
- Writing Queries that Test for Nullability

Module 9: Grouping and Aggregating Data

Using Aggregate Functions
Using the GROUP BY Clause
Filtering Groups with HAVING
Lab: Grouping and Aggregating Data
- Writing Queries That Use the GROUP BY Clause
- Writing Queries that Use Aggregate Functions
- Writing Queries that Use Distinct Aggregate Functions
- Writing Queries that Filter Groups with the HAVING Clause

Module 10: Using Subqueries

Writing Self-Contained Subqueries
Writing Correlated Subqueries
Using the EXISTS Predicate with Subqueries
Lab: Using Subqueries
- Writing Queries That Use Self-Contained Subqueries
- Writing Queries That Use Scalar and Multi-Result Subqueries
- Writing Queries That Use Correlated Subqueries and an EXISTS Clause

Module 11: Using Table Expressions

Using Views
Using Inline Table-Valued Functions
Using Derived Tables
Using Common Table Expressions
Lab: Using Table Expressions
- Writing Queries That Use Views
- Writing Queries That Use Derived Tables
- Writing Queries That Use Common Table Expressions (CTEs)
- Writing Queries That Use Inline Table-Valued Expressions (TVFs)

Module 12: Using Set Operators

Writing Queries with the UNION operator
Using EXCEPT and INTERSECT
Using APPLY
Lab: Using Set Operators
- Writing Queries That Use UNION Set Operators and UNION ALL
- Writing Queries That Use CROSS APPLY and OUTER APPLY Operators
- Writing Queries That Use the EXCEPT and INTERSECT Operators

Module 13: Using Windows Ranking, Offset, and Aggregate Functions

Creating Windows with OVER
Exploring Window Functions
Lab: Using Windows Ranking, Offset, and Aggregate Functions
- Writing Queries that use Ranking Functions
- Writing Queries that use Offset Functions
- Writing Queries that use Window Aggregate Functions

Module 14: Pivoting and Grouping Sets

Writing Queries with PIVOT and UNPIVOT
Working with Grouping Sets
Lab: Pivoting and Grouping Sets
- Writing Queries that use the PIVOT Operator
- Writing Queries that use the UNPIVOT Operator
- Writing Queries that use the GROUPING SETS CUBE and ROLLUP Subclauses

Module 15: Executing Stored Procedures

Querying Data with Stored Procedures
Passing Parameters to Stored procedures
Creating Simple Stored Procedures
Working with Dynamic SQL
Lab: Executing Stored Procedures
- Using the EXECUTE statement to Invoke Stored Procedures
- Passing Parameters to Stored procedures
- Executing System Stored Procedures

Module 16: Programming with T-SQL

T-SQL Programming Elements
Controlling Program Flow
Lab: Programming with T-SQL
- Declaring Variables and Delimiting Batches
- Using Control-Of-Flow Elements
- Using Variables in a Dynamic SQL Statement
- Using Synonyms

Module 17: Implementing Error Handling

Implementing T-SQL error handling
Implementing structured exception handling
Lab: Implementing Error Handling
- Redirecting errors with TRY/CATCH
- Using THROW to pass an error message back to a client

Module 18: Implementing Transactions

Transactions and the database engines
Controlling transactions
Lab: Implementing Transactions
- Controlling transactions with BEGIN, COMMIT, and ROLLBACK
- Adding error handling to a CATCH block

Prerequisites

To attend this course, participants need to have basic knowledge of the Microsoft Windows operating system and its core functionality along with working knowledge of relational databases.