Arrow Electronics, Inc.

Querying Data with Transact-SQL

CODE: MCS_20761

DURÉE: 5 Jours

PRIX H.T.: €2 850,00

Description

This course is designed to introduce students to Transact-SQL. It is designed in such a way that the first three days can be taught as a course to students requiring the knowledge for other courses in the SQL Server curriculum. Days 4 & 5 teach the remaining skills required to take exam 70-761.

Objectifs

After completing this course, students will be able to:

    Describe key capabilities and components of SQL Server.

    Describe T-SQL, sets, and predicate logic.

    Write a single table SELECT statement.

    Write a multi-table SELECT statement.

    Write SELECT statements with filtering and sorting.

    Describe how SQL Server uses data types.

    Write DML statements.

    Write queries that use built-in functions.

    Write queries that aggregate data.

    Write subqueries.

    Create and implement views and table-valued functions.

    Use set operators to combine query results.

    Write queries that use window ranking, offset, and aggregate functions.

    Transform data by implementing pivot, unpivot, rollup and cube.

    Create and implement stored procedures.

    Add programming constructs such as variables, conditions, and loops to T-SQL code.

Audience

The main purpose of the course is to give students a good understanding of the Transact-SQL language which is used by all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals.

Prérequis

    Basic knowledge of the Microsoft Windows operating system and its core functionality.

    Working knowledge of relational databases.

Programme

Module 1: Introduction to Microsoft SQL Server

This module introduces SQL Server, the versions of SQL Server, including cloud versions, and how to connect to SQL Server using SQL Server Management Studio.

Lessons

    The Basic Architecture of SQL Server
    SQL Server Editions and Versions
    Getting Started with SQL Server Management Studio

Lab : Working with SQL Server Tools

    Working with SQL Server Management Studio
    Creating and Organizing T-SQL Scripts
    Using Books Online

After completing this module, you will be able to:

    Describe relational databases and Transact-SQL queries.

    Describe the on-premise and cloud-based editions and versions of SQL Server.

    Describe how to use SQL Server Management Studio (SSMS) to connect to an instance of SQL Server, explore the databases contained in the instance, and work with script files that contain T-SQL queries.

Module 2: Introduction to T-SQL Querying

This module describes 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.

Lessons

    Introducing T-SQL
    Understanding Sets
    Understanding Predicate Logic
    Understanding the Logical Order of Operations in SELECT statements

Lab : Introduction to T-SQL Querying

    Executing Basic SELECT Statements
    Executing Queries that Filter Data using Predicates
    Executing Queries That Sort Data Using ORDER BY

After completing this module, you will be able to:

    Describe the role of T-SQL in writing SELECT statements.

    Describe the elements of the T-SQL language and which elements will be useful in writing queries.

    Describe the concepts of the set theory, one of the mathematical underpinnings of relational databases, and to help you apply it to how you think about querying SQL Server

    Describe predicate logic and examine its application to querying SQL Server.

    Explain the elements of a SELECT statement, delineate the order in which the elements are evaluated, and then apply this understanding to a practical approach to writing queries.

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

    Writing Simple SELECT Statements
    Eliminating Duplicates Using DISTINCT
    Using Column and Table Aliases
    Using a Simple CASE Expression

After completing this module, you will be able to:

    Describe the structure and format of the SELECT statement, as well as enhancements that will add functionality and readability to your queries

    Describe how to eliminate duplicates using the DISTINCT clause

    Describe the use of column and table aliases

    Understand and use CASE expressions

Module 4: Querying Multiple Tables

This module describes how to write queries that combine data from multiple sources in Microsoft SQL Server.

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 Joins
    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:

    Explain the fundamentals of joins in SQL Server

    Write inner join queries

    Write queries that use outer joins

    Use additional join types

Module 5: Sorting and Filtering Data

This module describes how to implement sorting and filtering.

Lessons

    Sorting Data
    Filtering Data with Predicates
    Filtering Data with TOP and OFFSET-FETCH
    Working with Unknown Values

Lab : Sorting and Filtering Data

    Writing Queries that Filter Data using a WHERE Clause
    Writing Queries that Sort Data Using an ORDER BY Clause
    Writing Queries that Filter Data Using the TOP Option
    Write Queries that filter data using the OFFSET-FETCH clause

After completing this module, you will be able to:

    Explain how to add an ORDER BY clause to your queries to control the order of rows displayed in your query's output

    Explain how to construct WHERE clauses to filter out rows that do not match the predicate.

    Explain how to limit ranges of rows in the SELECT clause using a TOP option.

    Explain how to limit ranges of rows using the OFFSET-FETCH option of an ORDER BY clause.

    Explain how three-valued logic accounts for unknown and missing values, how SQL Server uses NULL to mark missing values, and how to test for NULL in your queries.

.Module 6: Working with SQL Server Data Types

This module introduces the data types SQL Server uses to store data.

Lessons

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

Lab : Working with SQL Server 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 Return Character Functions

After completing this module, you will be able to:

    Explore many of the data types SQL Server uses to store data and how data types are converted between types

    Explain the SQL Server character-based data types, how character comparisons work, and some common functions you may find useful in your queries

    Describe data types that are used to store temporal data, how to enter dates and times so they will be properly parsed by SQL Server, and how to manipulate dates and times with built-in functions.

Module 7: Using DML to Modify Data

This module describes how to create DML queries, and why you would want to.

Lessons

    Adding Data to Tables
    Modifying and Removing Data
    Generating automatic column values

Lab : Using DML to Modify Data

    Inserting Records with DML
    Updating and Deleting Records Using DML

After completing this module, you will be able to:

    Use INSERT and SELECT INTO statements

    Use UPDATE, MERGE, DELETE, and TRUNCATE.

Module 8: Using Built-In Functions

This module introduces some of the many built in functions in SQL Server.

Lessons

    Writing Queries with Built-In Functions
    Using Conversion Functions
    Using Logical Functions
    Using Functions to Work with NULL

Lab : Using Built-In Functions

    Writing Queries That Use Conversion Functions
    Writing Queries that use Logical Functions
    Writing Queries that Test for Nullability

After completing this module, you will be able to:

    Describe the types of functions provided by SQL Server, and then focus on working with scalar functions

    Explain how to explicitly convert data between types using several SQL Server functions

    Describe how to use logical functions that evaluate an expression and return a scalar result.

    Describe additional functions for working with NULL

Module 9: Grouping and Aggregating Data

This module describes how to use aggregate functions.

Lessons

    Using Aggregate Functions
    Using the GROUP BY Clause
    Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

    Writing Queries That Use the GROUP BY Clause
    Writing Queries that Use Aggregate Functions
    Writing Queries that Use Distinct Aggregate Functions
    Writing Queries that Filter Groups with the HAVING Clause

After completing this module, you will be able to:

    Describe the built-in aggregate function in SQL Server and write queries using it.

    Write queries that separate rows using the GROUP BY clause.

    Write queries that use the HAVING clause to filter groups.

Module 10: Using Subqueries

This module describes several types of subquery and how and when to use them.

Lessons

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

Lab : Using Subqueries

    Writing Queries That Use Self-Contained Subqueries
    Writing Queries That Use Scalar and Multi-Result Subqueries
    Writing Queries That Use Correlated Subqueries and an EXISTS Clause

After completing this module, you will be able to:

    Describe where subqueries may be used in a SELECT statement.

    Write queries that use correlated subqueries in a SELECT statement

    Write queries that use EXISTS predicates in a WHERE clause to test for the existence of qualifying rows

    Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

Module 11: Using Table Expressions

Previously in this course, you learned about using subqueries as an expression that returned results to an outer calling query. Like subqueries, table expressions are query expressions, but table expressions extend this idea by allowing you to name them and to work with their results as you would work with data in any valid relational table. Microsoft SQL Server supports four types of table expressions: derived tables, common table expression (CTEs), views, and inline table-valued functions (TVFs). In this module, you will learn to work with these forms of table expressions and learn how to use them to help create a modular approach to writing queries.

Lessons

    Using Views
    Using Inline Table-Valued Functions
    Using Derived Tables
    Using Common Table Expressions

Lab : Using Table Expressions

    Writing Queries That Use Views
    Writing Queries That Use Derived Tables
    Writing Queries That Use Common Table Expressions (CTEs)
    Writing Queries That Use Inline Table-Valued Expressions (TVFs)

After completing this module, you will be able to:

    Write queries that return results from views.

    Use the CREATE FUNCTION statement to create simple inline TVFs.

    Write queries that create and retrieve results from derived tables.

    Write queries that create CTEs and return results from the table expression.

Module 12: Using Set Operators

This module introduces how to use the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.

Lessons

    Writing Queries with the UNION operator
    Using EXCEPT and INTERSECT
    Using APPLY

Lab : Using Set Operators

    Writing Queries That Use UNION Set Operators and UNION ALL
    Writing Queries That Use CROSS APPLY and OUTER APPLY Operators
    Writing Queries That Use the EXCEPT and INTERSECT Operators

After completing this module, students will be able to:

    Write queries that use UNION to combine input sets.
    Write queries that use UNION ALL to combine input sets
    Write queries that use the EXCEPT operator to return only rows in one set but not another.
    Write queries that use the INTERSECT operator to return only rows that are present in both sets
    Write queries using the CROSS APPLY operator.
    Write queries using the OUTER APPLY operator

Module 13: Using Windows Ranking, Offset, and Aggregate Functions

This module describes the benefits to using window functions. Restrict window functions to rows defined in an OVER clause, including partitions and frames. Write queries that use window functions to operate on a window of rows and return ranking, aggregation, and offset comparison results.

Lessons

    Creating Windows with OVER
    Exploring Window Functions

Lab : Using Windows Ranking, Offset, and Aggregate Functions

    Writing Queries that use Ranking Functions
    Writing Queries that use Offset Functions
    Writing Queries that use Window Aggregate Functions

After completing this module, students will be able to:

    Describe the T-SQL components used to define windows, and the relationships between them.
    Write queries that use the OVER clause, with partitioning, ordering, and framing to define windows
    Write queries that use window aggregate functions.
    Write queries that use window ranking functions.
    Write queries that use window offset functions

Module 14: Pivoting and Grouping Sets

This module describes write queries that pivot and unpivot result sets. Write queries that specify multiple groupings with grouping sets

Lessons

    Writing Queries with PIVOT and UNPIVOT
    Working with Grouping Sets

Lab : Pivoting and Grouping Sets

    Writing Queries that use the PIVOT Operator
    Writing Queries that use the UNPIVOT Operator
    Writing Queries that use the GROUPING SETS CUBE and ROLLUP Subclauses

After completing this module, students will be able to:

    Describe how pivoting data can be used in T-SQL queries.
    Write queries that pivot data from rows to columns using the PIVOT operator.
    Write queries that unpivot data from columns back to rows using the UNPIVOT operator.
    Write queries using the GROUPING SETS subclause.
    Write queries that use ROLLUP AND CUBE.
    Write queries that use the GROUPING_ID function.

Module 15: Executing Stored Procedures

This module describes how to return results by executing stored procedures. Pass parameters to procedures. Create simple stored procedures that encapsulate a SELECT statement. Construct and execute dynamic SQL with EXEC and sp_executesql.

Lessons

    Querying Data with Stored Procedures
    Passing Parameters to Stored procedures
    Creating Simple Stored Procedures
    Working with Dynamic SQL

Lab : Executing Stored Procedures

    Using the EXECUTE statement to Invoke Stored Procedures
    Passing Parameters to Stored procedures
    Executing System Stored Procedures

After completing this module, students will be able to:

    Describe stored procedures and their use.
    Write T-SQL statements that execute stored procedures to return data.
    Write EXECUTE statements that pass input parameters to stored procedures.
    Write T-SQL batches that prepare output parameters and execute stored procedures.
    Use the CREATE PROCEDURE statement to write a stored procedure.
    Create a stored procedure that accepts input parameters.
    Describe how T-SQL can be dynamically constructed.
    Write queries that use dynamic SQL.

Module 16: Programming with T-SQL

This module describes how to enhance your T-SQL code with programming elements.

Lessons

    T-SQL Programming Elements
    Controlling Program Flow

Lab : Programming with T-SQL

    Declaring Variables and Delimiting Batches
    Using Control-Of-Flow Elements
    Using Variables in a Dynamic SQL Statement
    Using Synonyms

After completing this module, students will be able to:

    Describe how Microsoft SQL Server treats collections of statements as batches.
    Create and submit batches of T-SQL code for execution by SQL Server.
    Describe how SQL Server stores temporary objects as variables.
    Write code that declares and assigns variables.
    Create and invoke synonyms
    Describe the control-of-flow elements in T-SQL.
    Write T-SQL code using IF...ELSE blocks.
    Write T-SQL code that uses WHILE.

Module 17: Implementing Error Handling

This module introduces error handling for T-SQL.

Lessons

    Implementing T-SQL error handling
    Implementing structured exception handling

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:

    Implement T-SQL error handling.
    Implement structured exception handling.

Module 18: Implementing Transactions

This module describes how to implement transactions.

Lessons

    Transactions and the database engines
    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 (TCL) statements.
    Use SET XACT_ABORT to define SQL Servers handling of transactions outside TRY/CATCH blocks.

Additional ReadingTo help you prepare for this class, review the following resources:

Dates de session
Date
Lieu
Time Zone
Langue
Type
Garanti
PRIX H.T.

24 oct. 2021

English

MOC On Demand

€795,00

15 nov. 2021

Paris

CET

English

Classroom

€2 850,00

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