Querying Data with Transact-SQL (20761)

This course is part of the following Certifications:

• MCSA SQL 2016 Database Development  (MCSA)

• Developing SQL Databases (20762)

Module 1: Introduction to Microsoft SQL Server 2016

• The Basic Architecture of SQL Server
• SQL Server Editions and Versions
• Getting Started with SQL Server Management Studio

Module 2: Introduction to T-SQL

• Introducing T-SQL
• Understanding Sets
• Understanding Predicate Logic
• Understanding the Logical Order of Operations in SELECT statements

Module 3: Writing SELECT Queries

• Writing Simple SELECT Statements
• Eliminating Duplicates with DISTINCT
• Using Column and Table Aliases
• Writing Simple CASE Expressions

Module 4: Querying Multiple Tables

• Understanding Joins
• Querying with Inner Joins
• Querying with Outer Joins
• Querying with Cross Joins and Self Joins

Module 5: Sorting and Filtering Data

• Sorting Data
• Filtering Data with Predicates
• Filtering with the TOP and OFFSET-FETCH Options
• Working with Unknown Values

Module 6: Working with SQL Server 2016 Data Types

• Introducing SQL Server 2016 Data Types
• Working with Character Data
• Working with Date and Time Data

Module 7: Using DML to Modify Data

• Inserting Data
• Modifying and Deleting Data

Module 8: Using Built-In Functions

• Writing Queries with Built-In Functions
• Using Conversion Functions
• Using Logical Functions
• Using Functions to Work with NULL

Module 9: Grouping and Aggregating Data

• Using Aggregate Functions
• Using the GROUP BY Clause
• Filtering Groups with HAVING

Module 10: Using Subqueries

• Writing Self-Contained Subqueries
• Writing Correlated Subqueries
• Using the EXISTS Predicate with Subqueries

Module 11: Using Set Operators

• Writing Queries with the UNION Operator
• Using EXCEPT and INTERSECT
• Using APPLY

Labs

• Working with SQL Server 2016 Tools
• Introduction to Transact-SQL Querying
• Writing Basic SELECT Statements
• Querying Multiple Tables
• Sorting and Filtering Data
• Working with SQL Server 2016 Data Types
• Using DML to Modify Data
• Using Built-In Functions
• Grouping and Aggregating Data
• Using Subqueries
• Using SET Operators