MS10774AB: Querying Microsoft SQL Server 2012
Starting dates and places
Description
MS10774AB: Beta: Querying Microsoft SQL Server 2012
Duration
5 days
Course Overview
This 5-day instructor led course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server 2012. This course is the foundation for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. This course helps people prepare for exam 70-461. Many of the exercises in this course are SQL Azure enabled.
The Beta version of this course (10774AB) utilizes pre-release software in the virtual machine for the labs. Microsoft SQL Server 2012 Release Candidate 0 (RC0) is used in this course. Many of the exer…
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MS10774AB: Beta: Querying Microsoft SQL Server 2012
Duration
5 days
Course Overview
This 5-day instructor led course provides students with the
technical skills required to write basic Transact-SQL queries for
Microsoft SQL Server 2012. This course is the foundation for all
SQL Server-related disciplines; namely, Database Administration,
Database Development and Business Intelligence. This course helps
people prepare for exam 70-461. Many of the exercises in this
course are SQL Azure enabled.
The Beta version of this course (10774AB) utilizes pre-release
software in the virtual machine for the labs. Microsoft SQL Server
2012 Release Candidate 0 (RC0) is used in this course. Many of the
exercises in this course are SQL Azure enabled.
Audience Profile
This course is intended for Database Administrators, Database Developers, and Business Intelligence professionals. The course will very likely be well attended by SQL power users who aren’t necessarily database-focused or plan on taking the exam; namely, report writers, business analysts and client application developers.
At Course Completion
Upon successful completion of this course, delegates will have
the necessary skills to:
• Write SELECT Queries
• Query Multiple Tables
• Use Built-In Functions
• Use Subqueries
• Execute Stored Procedures
• Use Set Operators
• Implement Error Handling
• Implementing Transactions
• Use Table Expressions
• Sort and Filter Data
• Use Window Ranking, Offset and Aggregate Functions
• Query SQL Server Metadata
• Program with T-SQL
• Improve Query Performance
Prerequisites
Before attending this course, students must have:
• Working knowledge of relational databases.
• Basic knowledge of the Microsoft Windows operating system and its
core functionality.
Course Outline
Module 1: Introduction to Microsoft SQL Server 2012This 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
• SQL Server Denali Architecture
• Working with SQL Server Denali Tools
• Working with SQL Server Databases
Lab: Working with SQL Server Denali Tools (Azure enabled)
• Working with SQL Server Management Studio
• Exploring with Database Objects
• Organizing and Creating T-SQL Scripts
• Using Books Online
After completing this module, students will be able to:
• Describe SQL Server components
• Create and save T-SQL scripts in SQL Server Management Studio
• Browse the objects in a database
• Search T-SQL syntax definitions in Books Online
Module 2: Introduction to Transact-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 Transact-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 its role in writing
queries
• Describe the use of sets in SQL Server
• Describe the use of predicate logic in SQL Server
• Define the logical order of operations in SELECT statements
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
• 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 4: 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 Using Self and Cross Joins
Lab: Querying Multiple Tables
• Write queries using inner joins
• Write queries using multi-table joins
• Write queries using self joins
• Write queries using outer joins
After completing this module, students will be able to:
• Describe how multiple tables may be queried in a SELECT statement
using joins
• Write queries which use inner joins
• Write queries which use outer joins
• Write queries which use self-joins and cross joins
Module 5: 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
• Filtering with the TOP and OFFSET-FETCH Options
• Working with Unknown Values
Lab: Filtering and Sorting Data
• Write queries that filter data using a WHERE clause
• Write queries that sort data with the ORDER BY clause
• Write queries that filter data using the TOP option
• Write 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
• Understand and handle NULLs
Module 6: Working with SQL Server Denali 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 Denali Data Types
• Working with Character Data
• Working with Date and Time Data
Lab: Working with SQL Server 2012 Data Types
• Write queries which return date and time data
• Write queries which use date and time functions
• Write queries which return character data
• Write queries which 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 7: 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 Test for Nullability
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 8: 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 the HAVING Clause
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 9: 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 correlated subqueries
• Write queries which use scalar and multi-result subqueries
• Write queries which use the IN and EXISTS predicates
After completing this module, students will be able to:
• Use self-contained subqueries, correlated subqueries, scalar
subqueries, and multi-valued subqueries
• Use the IN and EXISTS predicates
Module 10: 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
• Views
• Table Expressions
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 expressions
After completing this module, students will be able to:
• Write queries against views
• Use derived tables
• Use common table expressions
• Use inline table-valued expressions
Module 11: Use 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.
Lab: Use 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 APPLY with derived tables and
functions
• Write queries which use EXCEPT and INTERSECT operators
After completing this module, students will be able to:
• Describe the difference between a set and a multi-set
• Use the UNION and UNION ALL operators
• Use CROSS APPLY, OUTER APPLY and APPLY
• Use EXCEPT and INTERSECT operators
Module 12: 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.
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:
• Use window ranking functions ROW_NUMBER, RANK, DENSE_RANK,
NTILE
• Use offset functions LAG, LEAD, FIRST_VALUE, LAST_VALUE
• Use window aggregate functions
• Use the basic forms of window partitioning, window ordering and
window framing
Module 13: 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.
Lab: Pivoting and Grouping Sets
• Write queries which use the PIVOT operator
• Write queries which use the GROUPING SETS subclause
• Write queries which use GROUP BY ROLLUP
• Write queries which use GROUP BY CUBE
After completing this module, students will be able to:
• Use the basic form of PIVOT and UNPIVOT operators
• Use the fundamental form of GROUPING SETS clause
Module 14: 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.
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 against system catalog views and functions
• Execute system stored procedures
• Identify and query system dynamic management objects
• Describe security permissions necessary to query system
objects
Module 15: 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.
Lab: Executing Stored Procedures
• Use the EXECUTE statement to invoke stored procedures
• Pass parameters to stored procedures
• Return results from a stored procedure using the OUTPUT
clause
• Execute system stored procedures
After completing this module, students will be able to:
• Invoke existing stored procedures with EXECUTE
• Pass input parameters and receive output parameters
• Generate dynamic SQL statements
Module 16: 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.
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:
• Understand where T-SQL programming objects can be used
• Declare variables and delimit batches
• Use control of flow elements such as IF, WHILE, BEGIN, END,
RETURN
• Use synonyms
Module 17: 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
Lab: Implementing Error Handling
• Redirecting errors with TRY/CATCH
• Creating error handling routines in a CATCH block with ERROR
functions
• Using THROW to pass an error message back to a client
After completing this module, students will be able to:
• Describe the behavior of SQL Server when errors occur in T-SQL
code
• Use TRY/CATCH blocks to handle error flow
• Understand ERROR class functions
Module 18: 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.
Lab: Implementing Transactions
• Controlling transactions with BEGIN and COMMIT
• Using XACT_ABORT
• Adding transaction handling logic to a CATCH block
After completing this module, students will be able to:
• Describe the benefits of using transactions
• Control transactions with BEGIN, COMMIT, ROLLBACK
• Describe error handling behavior in transactions
Module 19: 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.
Lab: Improving Query Performance
• Viewing query execution plans
• Using SET STATISTICS statements
• Viewing index usage
• Comparing cursors to set-based queries
After completing this module, students will be able to:
• Describe how SQL Server uses indexes to support query
execution
• Enable the display of execution plans in SQL Server Management
Studio
• Enable system IO and time information in query results
• Describe the differences between accessing data in sets versus
via cursors
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