20761C: Querying Data with Transact-SQL 2016

Module 3: Writing SELECT Queries:
This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

Lessons:

• 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
This module describes how to write queries that combine data from multiple sources in Microsoft SQL Server.

Lessons:

• 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
This module describes how to implement sorting and filtering.

Lessons:

• 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
This module introduces the data types SQL Server uses to store data.

Lessons:

• 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
This module describes how to create DML queries, and why you would want to.

Lessons:

• 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
This module introduces some of the many built in functions in SQL Server.

Lessons:

• 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
This module describes how to use aggregate functions.

Lessons:

• 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
This module describes several types of subquery and how and when to use them.

Lessons:

• 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
Previously in this course, you learned about using subqueries as an expression that returned results to an outer calling query. Like subqueries, table expressions are query expressions, but table expressions extend this idea by allowing you to name them and to work with their results as you would work with data in any valid relational table. Microsoft SQL Server supports four types of table expressions: derived tables, common table expression (CTEs), views, and inline table-valued functions (TVFs). In this module, you will learn to work with these forms of table expressions and learn how to use them to help create a modular approach to writing queries.

Lessons:

• 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
This module introduces how to use the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.

Lessons:

• 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
This module describes the benefits to using window functions. Restrict window functions to rows defined in an OVER clause, including partitions and frames. Write queries that use window functions to operate on a window of rows and return ranking, aggregation, and offset comparison results.

Lessons:

• 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
This module describes write queries that pivot and unpivot result sets. Write queries that specify multiple groupings with grouping sets

Lessons:

• 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
This module describes how to return results by executing stored procedures. Pass parameters to procedures. Create simple stored procedures that encapsulate a SELECT statement. Construct and execute dynamic SQL with EXEC and sp_executesql.

Lessons:

• 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
This module describes how to enhance your T-SQL code with programming elements.

Lessons:

• 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
This module introduces error handling for T-SQL.

Lessons:

• 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
This module describes how to implement transactions.

Lessons:

• Transactions and the database engines
• Controlling transactions

Lab : Implementing Transactions

• Controlling transactions with BEGIN, COMMIT, and ROLLBACK
• Adding error handling to a CATCH block

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