Microsoft Course 10774 Training - MOC 10774 Class Outline

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• Jun 15 - Jun 19, 2013
• Sep 07 - Sep 11, 2013
• Dec 07 - Dec 11, 2013

• Hands-on instruction by a certified instructor
• Includes all course materials and practice exams
• Onsite Testing
• Breakfast and Lunch provided each day

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Exam 70-461 - This 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. led.

This course helps students prepare for Exam 70-461.

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

After completing this course, students will be able 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

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.

• SQL Server Denali Architecture
• Working with SQL Server Denali Tools
• Working with SQL Server Databases

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

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.

• Introducing Transact-SQL
• Understanding Sets
• Understanding Predicate Logic
• Understanding the Logical Order of Operations in SELECT Statements

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

Writing SELECT Queries

This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

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

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

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.

• Understanding Joins
• Querying With Inner Joins
• Querying With Outer Joins
• Querying Using Self and Cross 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

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.

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

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

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.

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

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

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.

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

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.

• Using Aggregate Functions
• Using the GROUP BY Clause
• Filtering 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

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.

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

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

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.

• Views
• Table 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

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.

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

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.

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

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.

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

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.

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

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.

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

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.

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

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

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

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.

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

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.

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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