Module 1: Introduction to Microsoft SQL Server 2012
This module introduces the SQL Server platform and major tools. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.
Lessons
Introducing Microsoft SQL Server 2012
Getting Started with SQL Server Management Studio
Lab: Working with SQL Server 2012 Tools
Working with SQL Server Management Studio
Creating and Organizing T-SQL scripts
Using Books Online
After completing this module, students will be able to:
- Describe the architecture and editions of SQL Server 2012.
- Work with SQL Server Management Studio.
Module 2: Getting Started with SQL Azure
This module introduces you to the concepts of SQL Azure. If the virtual machines in your classroom are able to connect to the internet and you have a Windows Azure account you may be able to connect to your Azure server and database. Many of the labs in the rest of this course are enabled for you to perform the lab while connected to your own Azure database in the cloud.Lessons
Overview of SQL Azure
Working with SQL Azure
After completing this module, students will be able to:
- Describe the basic features of SQL Azure.
- Provision a SQL Azure server and configure its security.
Module 3: Introduction to T-SQL Querying
This module introduces Transact SQL as the primary querying language of SQL Server. It discusses the basic structure of T-SQL queries, the logical flow of a SELECT statement, and introduces concepts such as predicates and set-based operations.Lessons
Introducing T-SQL
Understanding Sets
Understanding Predicate Logic
Understanding the Logical Order of Operations in SELECT statements
Lab: Introduction to Transact-SQL Querying
Executing Basic SELECT Statements
Executing queries which filter data using predicates
Executing queries which sort data using ORDER BY
After completing this module, students will be able to:
- Describe the elements of T-SQL and their role in writing queries
- Describe the use of sets in SQL Server
- Describe the use of predicate logic in SQL Server
- Describe the logical order of operations in SELECT statements
Module 4: 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
Write simple SELECT Statements
Eliminate Duplicates Using Distinct
Use Table and Column Aliases
Use a Simple CASE Expression
After completing this module, students will be able to:
- Write simple SELECT statements.
- Eliminate duplicates using the DISTINCT clause.
- Use column and table aliases.
- Write simple CASE expressions.
Module 5: Querying Multiple Tables
This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.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 Join
Writing Queries That Use Self Joins
Writing Queries That Use Outer Loins
Writing Queries That Use Cross Join
After completing this module, students will be able to:
- Describe how multiple tables may be queried in a SELECT statement using joins.
- Write queries that use inner joins.
- Write queries that use outer joins.
- Write queries that use self-joins and cross joins.
Module 6: Sorting and Filtering Data
This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.Lessons
Sorting Data
Filtering Data with a WHERE Clause
Filtering with the TOP and OFFSET-FETCH Options
Working with Unknown and Missing Values
Lab: Sorting and Filtering Data
Writing Queries That Filter Data Using a WHERE Clause
Writing Queries That Filter Data Using an ORDER BY Clause
Writing Queries That Filter Data Using the TOP Option
Writing Queries That Filter Data Using the OFFSET-FETCH Clause
After completing this module, students will be able to:
- Filter data with predicates in the WHERE clause.
- Sort data using ORDER BY.
- Filter data in the SELECT clause with TOP.
- Filter data with OFFSET and FETCH.
Module 7: Working with SQL Server 2012 Data Types
This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the importance of type precedence.Lessons
Introducing SQL Server 2012 Data Types
Working with Character Data
Working with Date and Time Data
Lab: Working with SQL Server 2012 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 Use Character Functions
After completing this module, students will be able to:
- Describe numeric data types, type precedence and type conversions.
- Write queries using character data types.
- Write queries using date and time data types.
Module 8: Using Built-In Functions
This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.Lessons
Writing Queries with Built-In Functions
Using Conversion Functions
Using Logical Functions
Using Functions to Work with NULL
Lab: Using Built-In Functions
Write queries which use conversion functions
Write queries which use logical functions
Write queries which test for nullability
After completing this module, students will be able to:
- Write queries with built-in scalar functions.
- Use conversion functions.
- Use logical functions.
- Use functions that work with NULL.
Module 9: Grouping and Aggregating Data
This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.Lessons
Using Aggregate Functions
Using the GROUP BY Clause
Filtering Groups with HAVING
Lab: Grouping and Aggregating Data
Write queries which use the GROUP BY clause
Write queries which use aggregate functions
Write queries which use distinct aggregate functions
Write queries which filter groups with the HAVING clause
After completing this module, students will be able to:
- Write queries which summarize data using built-in aggregate functions.
- Use the GROUP BY clause to arrange rows into groups.
- Use the HAVING clause to filter out groups based on a search condition.
Module 10: Using Subqueries
This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators.Lessons
Writing Self-Contained Subqueries
Writing Correlated Subqueries
Using the EXISTS Predicate with Subqueries
Lab: Using Subqueries
Write queries which use self-contained subqueries
Write queries which use scalar and multi-result subqueries
Write queries which use correlated subqueries and EXISTS predicate
After completing this module, students will be able to:
- Describe the uses of queries which are nested within other queries.
- Write self-contained subqueries which return scalar or multi-valued results.
- Write correlated subqueries which return scalar or multi-valued results.
- Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.
Module 11: Using Table Expressions
This module introduces T-SQL expressions which return a valid relational table, typically for further use in the query. The module discusses views, derived tables, common table expressions and inline table-valued functions.Lessons
Using Derived Tables
Using Common Table Expressions
Using Views
Using Inline Table-Valued Functions
Lab: Using Table Expressions
Write Queries Which Use Views
Write Queries Which Use Derived Tables
Write Queries Which Use Common Table Expressions
Write Queries Which Use Inline Table-Valued Functions
After completing this module, students will be able to:
- Write queries which use derived tables.
- Write queries which use common table expressions.
- Create simple views and write queries against them.
- Create simple inline table-valued functions and write queries against them.
Module 12: Using Set Operators
This module introduces operations involving multiple sets of data. It will cover the use of the UNION, UNION ALL, APPLY, CROSS APPLY, OUTER APPLY operators as well as the EXCEPT and INTERSECTS operators.Lessons
Writing Queries with the UNION Operator
Using EXCEPT and INTERSECT
Using APPLY
Lab: Using Set Operators
Write queries which use UNION set operators and UNION ALL multi-set operators
Write queries which use CROSS APPLY and OUTER APPLY operators
Write queries which use EXCEPT and INTERSECT operators
After completing this module, students will be able to:
- Write queries which combine data using the UNION operator
- Write queries which compare sets using the INTERSECT and EXCEPT operators
- Write queries which manipulate rows in a table by using APPLY with the results of a derived table or function
Module 13: Using Window Ranking, Offset and Aggregate Functions
This module introduces window functions including ranking, aggregate and offset functions. Much of this functionality is new to SQL Server 2012. It will cover the use of T-SQL functions such as ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE and LAST_VALUE to perform calculations against a set, or window, of rows.Lessons
Creating Windows with OVER
Exploring Window Functions
Lab: Using Window Ranking, Offset and Aggregate Functions
Write queries which use ranking functions
Write queries which use offset functions
Write queries which use window aggregate functions
After completing this module, students will be able to:
- Describe the benefits to using window functions.
- Restrict window functions to rows defined in an OVER clause, including partitions and frames.
- Write queries which use window functions to operate on a window of rows and return ranking, aggregation and offset comparison results.
Module 14: Pivoting and Grouping Sets
This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server 2012.Lessons
Writing Queries with PIVOT and UNPIVOT
Working with Grouping Sets
Lab: Pivoting and Grouping Sets
Write queries which use the PIVOT operator
Write queries which use the UNPIVOT operator
Write queries which use the GROUPING SETS subclause
After completing this module, students will be able to:
- Write queries which pivot and unpivot result sets
- Write queries which specify multiple groupings with grouping sets
Module 15: Querying SQL Server Metadata
This module introduces the use of SQL Server system objects in T-SQL queries. It will cover the use of system catalog views, system stored procedures, system functions, and dynamic management objects.Lessons
Querying System Catalog Views and Functions
Executing System Stored Procedures
Querying Dynamic Management Objects
Lab: Querying SQL Server Metadata
Querying System Catalog Views
Querying System Functions
Querying System Dynamic Management Views
After completing this module, students will be able to:
- Write queries that retrieve system metadata using system views and functions.
- Execute system stored procedures to return system information.
- Write queries that retrieve system metadata and state information using system dynamic management views and functions.
Module 16: Executing Stored Procedures
This module introduces the use of existing stored procedures in a T-SQL querying environment. It discusses the use of EXECUTE, how to pass input and output parameters to a procedure, and how to invoke system stored procedures.Lessons
Querying Data with Stored Procedures
Passing Parameters to Stored Procedures
Creating Simple Stored Procedures
Working with Dynamic SQL
Lab: Executing Stored Procedures
Use the EXECUTE statement to invoke stored procedures
Pass parameters to stored procedures
Execute system stored procedures
After completing this module, students will be able to:
- Return results by executing stored procedures.
- Pass parameters to procedures.
- Create simple stored procedures which encapsulate a SELECT statement.
- Construct and execute dynamic SQL with EXEC and sp_executesql.
Module 17: Programming with T-SQL
This module provides a basic introduction to T-SQL programming concepts and objects. It discusses batches, variables, control of flow elements such as loops and conditionals, how to create and execute dynamic SQL statements, and how to use synonyms.Lessons
T-SQL Programming Elements
Controlling Program Flow
Lab: Programming with T-SQL
Declaring Variables and Delimiting Batches
Using Control-of-Flow Elements
Generating Dynamic SQL
Using Synonyms
After completing this module, students will be able to:
- Describe the language elements of T-SQL used for simple programming tasks.
- Describe batches and how they are handled by SQL Server.
- Declare and assign variables and synonyms.
- Use IF and WHILE blocks to control program flow.
Module 18: Implementing Error Handling
This module introduces the use of error handlers in T-SQL code. It will introduce the difference between compile errors and run-time errors, and will cover how errors affect batches. The module will also cover how to control error handling using TRY/CATCH blocks, the use of the ERROR class of functions, and the use of the new THROW statement.Lessons
Using TRY / CATCH Blocks
Working with Error Information
Lab: Implementing Error Handling
Redirecting Errors with TRY / CATCH
Using THROW to Pass an Error Message Back to a Client
After completing this module, students will be able to:
- Describe SQL Server's behavior when errors occur in T-SQL code.
- Implement structured exception handling in T-SQL.
- Return information about errors from system objects.
- Raise user-defined errors and pass system errors in T-SQL code.
Module 19: Implementing Transactions
This module introduces the concepts of transaction management in SQL Server. It will provide a high-level overview of transaction properties, cover the basics of marking transactions with BEGIN, COMMIT and ROLLBACK.Lessons
Transactions and the Database Engine
Controlling Transactions
Lab: Implementing Transactions
Controlling transactions with BEGIN, COMMIT, and ROLLBACK
Adding error handling to a CATCH block
After completing this module, students will be able to:
- Describe transactions and the differences between batches and transactions.
- Describe batches and how they are handled by SQL Server.
- Create and manage transactions with transaction control language statements.
- Use SET XACT_ABORT to define SQL Server's handling of transactions outside TRY / CATCH blocks.
Module 20: Improving Query Performance
This module introduces the concepts of system resource usage and the performance impact of querying SQL Server 2012. It will cover, at a high level, the use of indexes in SQL Server, the use of execution plans in SQL Server Management Studio, and the use of SET options to view system resource usage when executing queries. It will also compare set-based operations with cursor-based operations.Lessons
Factors in Query Performance
Displaying Query Performance Data
Lab: Improving Query Performance
Viewing Query Execution Plans
Viewing Index Usage and Using SET STATISTICS Statements
After completing this module, students will be able to:
- Describe components of well-performing queries.
- Describe the role of indexes and statistics in SQL Server
- Display and interpret basic query plans
- Display and interpret basic query performance data