Querying Microsoft SQL Server®
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The Basic Architecture of SQL Server SQL Server Editions and Versions Getting Started with SQL Server Management Studio Working with SQL Server Management Studio Creating and Organizing T-SQL scripts Using Books Online
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- Server
- Microsoft SQL Server
- Management
- SQL
Programma
After completing this module, you will be able to:
Describe the architecture and editions of SQL Server 2012.
Work with SQL Server Management Studio.
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 T-SQL
Understanding Sets
Understanding Predicate Logic
Understanding the Logical Order of Operations in SELECT statements
Executing Basic SELECT Statements
Executing queries which filter data using predicates
Executing queries which sort data using ORDER BY
After completing this module, you 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
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
Write simple SELECT Statements
Eliminate Duplicates Using Distinct
Use Table and Column Aliases
Use a Simple CASE Expression
After completing this module, you will be able to:
Write simple SELECT statements.
Eliminate duplicates using the DISTINCT clause.
Use column and table aliases.
Write simple CASE expressions.
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 with Cross Joins and Self Joins
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 Joins
Writing Queries That Use Cross Joins
After completing this module, you 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.
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 with a WHERE Clause
Filtering with the TOP and OFFSET-FETCH Options
Working with Unknown and Missing Values
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, you 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.
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 2014 Data Types
Working with Character Data
Working with Date and Time Data
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, you 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.
This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data.
Inserting Data
Modifying and Deleting Data
Inserting Data
Updating and Deleting Data
After completing this module, you will be able to:
Insert new data into your tables.
Update and delete existing records in your tables.
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 Work with NULL
Write queries which use conversion functions
Write queries which use logical functions
Write queries which test for nullability
After completing this module, you will be able to:
Write queries with built-in scalar functions.
Use conversion functions.
Use logical functions.
Use functions that work with NULL.
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 HAVING
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, you 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.
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
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, you 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.
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.
Using Derived Tables
Using Common Table Expressions
Using Views
Using Inline Table-Valued Functions
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, you 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.
This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.
Writing Queries with the UNION Operator
Using EXCEPT and INTERSECT
Using APPLY
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, you 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
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.
Creating Windows with OVER
Exploring Window Functions
Write queries which use ranking functions
Write queries which use offset functions
Write queries which use window aggregate functions
After completing this module, you 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.
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.
Writing Queries with PIVOT and UNPIVOT
Working with 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, you will be able to:
Write queries which pivot and unpivot result sets.
Write queries which specify multiple groupings with grouping sets.
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.
Querying Data with Stored Procedures
Passing Parameters to Stored Procedures
Creating Simple Stored Procedures
Working with Dynamic SQL
Use the EXECUTE statement to invoke stored procedures
Pass parameters to stored procedures
Execute system stored procedures
After completing this module, you 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.
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.
T-SQL Programming Elements
Controlling Program Flow
Declaring Variables and Delimiting Batches
Using Control-of-Flow Elements
Generating Dynamic SQL
Using Synonyms
After completing this module, you 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.
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.
Using TRY / CATCH Blocks
Working with Error Information
Redirecting Errors with TRY / CATCH
Using THROW to Pass an Error Message Back to a Client
After completing this module, you 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.
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.
Transactions and the Database Engine
Controlling Transactions
Isolation Levels
Controlling transactions with BEGIN, COMMIT, and ROLLBACK
Adding error handling to a CATCH block
After completing this module, you 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.
Describe the effects of isolation levels on transactions.
This module presents several key guidelines for writing well-performing queries, as well as ways to monitor the execution of your queries and their impact on Microsoft SQL Server.
Factors in Query Performance
Displaying Query Performance Data
Viewing Query Execution Plans
Viewing Index Usage and Using SET STATISTICS Statements
After completing this module, you will be able to:
Describe components of well-performing queries.
Display and interpret basic query performance data
SQL Server provides access to structured metadata by using a variety of mechanisms, such as system catalog views, system functions, dynamic management objects, and system stored procedures. In this module, you will learn how to write queries to return system metadata using these mechanisms.
Querying System Catalog Views and Functions
Executing System Stored Procedures
Querying Dynamic Management Objects
Querying System Catalog Views
Querying System Functions
Querying System Dynamic Management Views
After completing this module, you 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.
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Querying Microsoft SQL Server®