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Querying Data with Transact-SQL (20761B)

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.

The main purpose of this 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.

After completing this course, students will be able to:

  • Describe key capabilities and components of SQL Server 2016
  • Describe T-SQL, sets, and predicate logic.
  • Write a single table SELECT statement
  • Writing a multi-table SELECT statement.
  • Write SELECT statements with filtering or 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

 

Prerequisites

  • Working knowledge of relational databases.
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.


 

Curriculum

Module 1: Introduction to Microsoft SQL Server 2016
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 2016 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 introduces the elements of T-SQL and their role in writing queries, describes the use of sets in SQL Server, describes the use of predicate logic in SQL Server, and describes 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 Transact-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 explains how to write queries which combine data from multiple sources in SQL Server 2016.

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 2016
  • Write inner join queries
  • Write queries that use outer joins
  • Use additional join types


Module 5: Sorting and Filtering Data
This module explains how to implement sorting and filtering.

Lessons

  • Sorting Data
  • Filtering Data with Predicates
  • Filtering with the TOP and OFFSET-FETCH Options
  • 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


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 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 2016 Data Types
This module introduces the data types SQL Server uses to store data.

Lessons

  • Introducing SQL Server 2016 Data Types
  • Working with Character Data
  • Working with Date and Time Data


Lab : Working with SQL Server 2016 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 want to.

Lessons

  • Inserting Data
  • Modifying and Deleting Data


Lab : Using DML to Modify Data

  • Inserting Data
  • Updating and Deleting Data


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 built-in functions in SQL Server 2016.

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 scarlar functions
  • Expain how to explicitly convert data between types using serveral SQL Server functions
  • Describe how to use logical functions that evaluate and expression and return a scalar result
  • Describe additional functions for working with NULL


Module 9: Grouping and Aggregating Data
This module introduces 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 the 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 descirbes 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 predicate 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 2016 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 Sue Inline Table-Valued Expression


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 Operator
  • 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, aggreagation, 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 deine 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 grouping 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 ROLLP 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 Procedure
  • 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 inputs 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 in a 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

Lessons

  • Implementing T-SQL error handling
  • Implementing structured exception handling


Lab : Implementing Error Handling

  • Redirecting error with TRY/CATCH
  • Using THROW to pass an error message back to 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

What's included?
 

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers  & Onsite Certification Testing- (excluding 1-day Adobe, 1-day MS Office and PMP Boot Camps) 
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

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