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®

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