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Microsoft SQL Server T-SQL

2,295 USD
3 Days
Classroom Training, Online Training

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Course Description


This Microsoft SQL Server T-SQL course is designed to provide students with knowledge of SQL. This course starts at a basic level and continues to an advanced level, providing students with many examples along the way. Students will gain a deeper knowledge and understanding of Microsoft’s SQL Server T-SQL and how to write it. In addition, students will gain practical experience with hands-on exercises.


Upon completion of the Microsoft SQL Server T-SQL course, students will be able to:
  • Understand Basic SQL Functions
  • Use the WHERE Clause
  • Demonstrate Distinct Vs. Group By
  • Utilize the Aggregation Function
  • Apply Join, Date, Format, and OLAP Functions
  • Understand Temporary Tables
  • Use Sub-query Functions
  • Apply Substrings and Positioning Functions
  • Interrogate Data
  • Use View Functions
  • Set Operators Functions
  • Create Tables
  • Summarize Data Manipulation Language (DML)


  • IT Professionals


    • None


  • Introduction
    • Introduction to the Family of SQL Server Products
    • Introduction to the Family Continued
    • Microsoft Azure SQL Data Warehouse
    • Nexus is Now Available on the Microsoft Azure Cloud
    • Symmetric Multi-Processing (SMP)
    • Naming of Objects
  • The Basics of SQL
    • Introduction
    • Setting Your Default Database
    • SELECT * (All Columns) in a Table
    • Fully Qualifying a Database, Schema and Table
    • SELECT Specific Columns in a Table
    • Commas in the Front or Back?
    • Place your Commas in front for better Debugging Capabilities
    • Sort the Data with the ORDER BY Keyword
    • ORDER BY Defaults to Ascending
    • Use the Name or the Number in your ORDER BY Statement
    • Two Examples of ORDER BY using Different Techniques
    • Changing the ORDER BY to Descending Order
    • NULL Values sort First in Ascending Mode (Default)
    • NULL Values sort Last in Descending Mode (DESC
    • Major Sort vs. Minor Sorts
    • Multiple Sort Keys using Names vs. Numbers
    • Sorts are Alphabetical, NOT Logical
    • Using A CASE Statement to Sort Logically
    • An Order By That Uses an Expression
    • How to ALIAS a Column Name
    • Aliasing a Column Name with Spaces or Reserved Words
    • A Missing Comma can by Mistake become an Alias
    • Comments using Double Dashes are Single Line Comments
    • Comments for Multi-Lines
    • Comments for Multi-Lines as Double Dashes Per Line
    • A Great Technique for Comments to Look for SQL Errors
    • sp_help at the Database Level
    • sp_help at the Object Level
    • Getting System Information
    • Getting Additional System Information
  • The WHERE Clause
    • The WHERE Clause limits Returning Rows
    • Double Quoted Aliases are for Reserved Words and Spaces
    • Using A Column ALIAS In A WHERE Clause
    • Using A Column ALIAS In An ORDER BY Clause
    • In What Order Does SQL Server Process A Query?
    • Character Data needs Single Quotes in the WHERE Clause
    • Character Data needs Single Quotes, but Numbers Don’t
    • Declaring a Variable
    • Comparisons against a Null Value
    • NULL means UNKNOWN DATA so Equal (=) won’t Work
    • Use IS NULL or IS NOT NULL when dealing with NULLs
    • NULL is UNKNOWN DATA so NOT Equal won’t Work
    • Use IS NULL or IS NOT NULL when dealing with NULLs
    • Using Greater Than or Equal To (>=)
    • AND in the WHERE Clause
    • Troubleshooting AND
    • OR in the WHERE Clause
    • Troubleshooting Or
    • Troubleshooting Character Data
    • Using Different Columns in an AND Statement
    • Quiz – How many rows will return?
    • What is the Order of Precedence?
    • Using Parentheses to change the Order of Precedence
    • Using an IN List in place of OR
    • The IN List is an Excellent Technique
    • IN List vs. OR brings the same Results
    • The IN List Can Use Character Data
    • Using a NOT IN List
    • Null Values in a NOT IN List Bring Back No Rows
    • A Technique for Handling Nulls with a NOT IN List
    • BETWEEN is Inclusive
    • NOT BETWEEN is Also Inclusive
    • LIKE command Underscore is Wildcard for one Character
    • LIKE command using a Range of Values
    • LIKE command Using a NOT Range of Values
    • LIKE Command Works Differently on Char Vs Varchar
    • Troubleshooting LIKE Command on Character Data
    • Introducing the RTRIM Command
    • Quiz – What Data is Left Justified and What is Right?
    • Numbers are Right Justified and Character Data is Left
    • An Example of Data with Left and Right Justification
    • A Visual of CHARACTER Data vs. VARCHAR Data
    • RTRIM command Removes Trailing spaces on CHAR Data
    • Using Like with an AND Clause to Find Multiple Letters
    • Using Like with an OR Clause to Find Either Letters
    • Declaring a Variable and Using it with the LIKE Command
    • Escape Character in the LIKE Command changes Wildcards
    • Escape Characters Turn off Wildcards in the LIKE Command
    • Quiz – Turn off that Wildcard
  • Distinct, Group By and TOP
    • The Distinct Command
    • Distinct vs. GROUP BY
    • Quiz – How many rows come back from the Distinct?
    • TOP Command
    • TOP Command is brilliant when ORDER BY is used!
    • TOP Command with PERCENT
    • TOP Command with PERCENT
    • The TOP Command WITH TIES
    • The TOP Command Using a Variable
    • The TOP 1 Command for a Random Sample
  • Aggregation
    • Quiz – You calculate the Answer Set in your own Mind
    • The 3 Rules of Aggregation
    • There are Five Aggregates
    • Quiz – How many rows come back?
    • Troubleshooting Aggregates
    • GROUP BY when Aggregates and Normal Columns Mix
    • GROUP BY delivers one row per Group
    • Count_Big
    • Limiting Rows and Improving Performance with WHERE
    • WHERE Clause in Aggregation limits unneeded Calculations
    • Keyword HAVING tests Aggregates after they are Totaled
    • CHECKSUM_AGG to Check If a Table Has Changed
    • Using Distinct Within the Aggregate
    • Group By Grouping Sets
    • Group By Rollup
    • Answer Set for Group By Rollup Query
    • Creating a Cube
    • Answer Set for Cube Query
    • An Easy Example of Creating a Cube
    • Quiz - GROUP BY GROUPING SETS Challenge
    • Getting the Average Values Per Column
    • Average Values per Column for all Columns in a Table
  • Join Functions
    • A Two-Table Join Using Traditional Syntax
    • A two-table join using Non-ANSI Syntax with Table Alias
    • You Can Fully Qualify All Columns
    • A two-table join using ANSI Syntax
    • Both Queries have the same Results and Performance
    • Quiz – Can You Finish the Join Syntax?
    • Quiz – Can You Find the Error?
    • Super Quiz – Can You Find the Difficult Error?
    • Quiz – Which rows from both tables won’t Return?
    • LEFT OUTER JOIN Results
    • RIGHT OUTER JOIN Example and Results
    • FULL OUTER JOIN Results
    • Which Tables are the Left and which Tables are Right?
    • INNER JOIN with Additional AND Clause
    • ANSI INNER JOIN with Additional AND Clause
    • ANSI INNER JOIN with Additional WHERE Clause
    • OUTER JOIN with Additional WHERE Clause
    • OUTER JOIN with Additional AND Clause
    • OUTER JOIN with Additional AND Clause Results
    • Quiz – Why is this considered an INNER JOIN?
    • Evaluation Order for Outer Queries
    • The DREADED Product Join
    • The DREADED Product Join Results
    • The Horrifying Cartesian Product Join
    • The ANSI Cartesian Join will ERROR
    • Quiz – Do these Joins Return the Same Answer Set?
    • The CROSS JOIN
    • The CROSS JOIN Answer Set
    • The Self Join
    • The Self Join with ANSI Syntax
    • Quiz – Will both queries bring back the same Answer Set?
    • Quiz – Will both queries bring back the same Answer Set?
    • How would you Join these two tables?
    • An Associative Table is a Bridge that Joins Two Tables
    • Quiz – Can you write the 3-Table Join?
    • Quiz – Can you write the 3-Table Join to ANSI Syntax?
    • Quiz – Can you Place the ON Clauses at the End?
    • The 5-Table Join – Logical Insurance Model
    • Quiz - Write a Five Table Join Using ANSI Syntax
    • Quiz - Write a Five Table Join Using Non-ANSI Syntax
    • Quiz –Re-Write this putting the ON clauses at the END
  • Date Function
    • Current_Timestamp
    • Getdate
    • Date and Time Keywords
    • SYSDATETIMEOFFSET Provides the Timezone Offset
    • Using Both CAST and CONVERT in Literal Values
    • The DATEADD Function
    • The DATEDIFF Function
    • DATEADD Function
    • A Real World Example for DateAdd Using the Order Table
    • DATEPART Function
    • DATEPART Function Examples
    • YEAR, MONTH, and DAY Functions
    • A Better Technique for YEAR, MONTH, and DAY Functions
    • DATENAME Function
    • Date Formatting
    • Time Formatting
    • ISDATE Function
  • Temporary Tables
    • There are three types of Temporary Tables in TEMPDB
    • Tables in TEMPDB are not your only Temporary Storage
    • What is TEMPDB?
    • Creating a Private Temporary Table
    • You Populate a Private Temporary Table with an INSERT/SELECT
    • The Three Steps to Use a Private Temporary Table
    • Creating a Global Temporary Table
    • You Populate a Global Temporary Table with an INSERT/SELECT
    • The Three Steps to Use a Global Temporary Table
    • Creating a Direct Temporary Table
    • You Populate a Direct Temporary Table with an INSERT/SELECT
    • The Three Steps to Use a Direct Temporary Table
    • CREATING A Derived Table
    • Naming the Derived Table
    • Aliasing the Column Names in the Derived Table
    • Multiple Ways to Alias the Columns in a Derived Table
    • CREATING a Derived Table using the WITH Command
    • The Same Derived Query shown Three Different Ways
    • MULTIPLE Derived Tables using the WITH Command
    • Column Alias Can Default For Normal Columns
    • Most Derived Tables Are Used To Join To Other Tables
    • A Join Example Showing Different Column Alias Styles
    • The Three Components of a Derived Table
    • Visualize This Derived Table
    • Our Join Example With The WITH Syntax
    • Quiz - Answer the Questions
    • Clever Tricks on Aliasing Columns in a Derived Table
    • A Derived Table lives only for the lifetime of a single query
    • An Example of Two Derived Tables in a Single Query
    • RECURSIVE Derived Table Hierarchy
    • RECURSIVE Derived Table Query
    • RECURSIVE Derived Table Definition
    • WITH RECURSIVE Derived Table Seeding
    • WITH RECURSIVE Derived Table Looping
    • RECURSIVE Derived Table Looping in Slow Motion
    • RECURSIVE Derived Table Looping Continued
    • RECURSIVE Derived Table Ends the Looping
    • RECURSIVE Derived Table Definition
    • RECURSIVE Derived Table Answer Set
    • Using a Table Variable
  • Sub-query Functions
    • An IN List is much like a Subquery
    • An IN List Never has Duplicates – Just like a Subquery
    • An IN List Ignores Duplicates
    • The Subquery
    • The Three Steps of How a Basic Subquery Works
    • These are Equivalent Queries
    • The Final Answer Set from the Subquery
    • Quiz- Answer the Difficult Question
    • Should you use a Subquery of a Join?
    • Quiz- Write the Subquery
    • Quiz- Write the More Difficult Subquery
    • Quiz – Write the Extreme Subquery
    • Quiz- Write the Subquery with an Aggregate
    • Quiz- Write the Correlated Subquery
    • The Basics of a Correlated Subquery
    • The Top Query always runs first in a Correlated Subquery
    • Correlated Subquery Example vs. a Join with a Derived Table
    • Quiz- A Second Chance to Write a Correlated Subquery
    • Quiz- A Third Chance to Write a Correlated Subquery
    • Quiz- Last Chance To Write a Correlated Subquery
    • Quiz – Write the Extreme Correlated Subquery
    • Quiz- Write the NOT Subquery
    • Quiz- Write the Subquery using a WHERE Clause
    • Quiz – Write the Triple Subquery
    • Quiz – How many rows return on a NOT IN with a NULL?
    • How to handle a NOT IN with Potential NULL Values
    • Using a Correlated Exists
    • How a Correlated Exists matches up
    • The Correlated NOT Exists
    • The Correlated NOT Exists Answer Set
    • Quiz – How many rows come back from this NOT Exists?
  • Window Functions OLAP
    • The Row_Number Command
    • Quiz – How did the Row_Number Reset?
    • Using a Derived Table and Row_Number
    • Ordered Analytics OVER
    • RANK Defaults to Ascending Order
    • Getting RANK to Sort in DESC Order
    • CSUM – Rows Unbounded Preceding Explained
    • CSUM – Making Sense of the Data
    • CSUM – Making Even More Sense of the Data
    • CSUM – The Major and Minor Sort Key(s)
    • The ANSI CSUM – Getting a Sequential Number
    • Troubleshooting The ANSI OLAP on a GROUP BY
    • Reset with a PARTITION BY Statement
    • PARTITION BY only Resets a Single OLAP not ALL of them
    • Different Windowing Options
    • Moving Sum has a Moving Window
    • How ANSI Moving SUM Handles the Sort
    • Quiz – How is that Total Calculated?
    • Moving SUM every 3-rows Vs a Continuous Average
    • Partition By Resets an ANSI OLAP
    • The Moving Window is Current Row and Preceding
    • How Moving Average Handles the Sort
    • Moving Average
    • Quiz – How is that Total Calculated?
    • Quiz – How is that 4th Row Calculated?
    • Moving Average every 3-rows Vs a Continuous Average
    • Partition By Resets an ANSI OLAP
    • Moving Difference using ANSI Syntax
    • Moving Difference using ANSI Syntax with Partition By
    • COUNT OVER for a Sequential Number
    • COUNT OVER without Rows Unbounded Preceding
    • Quiz – What caused the COUNT OVER to Reset?
    • The MAX OVER Command
    • MAX OVER with PARTITION BY Reset
    • MAX OVER Without Rows Unbounded Preceding
    • The MIN OVER Command
    • Troubleshooting MIN OVER
    • Finding a Value of a Column in the Next Row with MIN
    • The CSUM For Each Product_Id and the Next Start Date
    • Quiz – Fill in the Blank
    • How Ntile Works
    • Ntile
    • Ntile Continued
    • Ntile Percentile
    • Another Ntile Example
    • Using Tertiles (Partitions of Four)
    • NTILE
    • NTILE Using a Value of 10
    • NTILE With a Partition
    • Using FIRST_VALUE
    • FIRST_VALUE After Sorting by the Highest Value
    • FIRST_VALUE with Partitioning
    • Using LAST_VALUE
    • Using LAG and LEAD
    • Using LEAD
    • Using LEAD With and Offset of 2
    • LEAD
    • LEAD With Partitioning
    • Using LAG
    • Using LAG With an Offset of 2
    • LAG
    • LAG with Partitioning
    • CUME_DIST With a Partition
    • SUM(SUM(n))
  • Working with Strings
    • The ASCII Function
    • The CHAR Function
    • The UNICODE Function
    • The NCHAR Function
    • The LEN Function
    • The DATALENGTH Function
    • Concatenation
    • The RTRIM and LTRIM Command trims Spaces
    • The SUBSTRING Command
    • Using SUBSTRING to move Backwards
    • How SUBSTRING Works with a Starting Position of -1
    • How SUBSTRING Works with an Ending Position of 0
    • Concatenation and SUBSTRING
    • SUBSTRING and Different Aliasing
    • The LEFT and RIGHT Functions
    • Four Concatenations Together
    • The DATALENGTH Function and RTRIM
    • A Visual of the TRIM Command Using Concatenation
    • CHARINDEX Function Finds a Letter(s) Position in a String
    • The CHARINDEX Command is brilliant with SUBSTRING
    • The CHARINDEX Command Using a Literal
    • PATINDEX Function
    • PATINDEX Function to Find a Character Pattern
    • SOUNDEX Function to Find a Sound
    • DIFFERENCE Function to Quantile a Sound
    • The REPLACE Function
    • LEN and REPLACE Functions for Number of Occurrences
    • REPLICATE Function
    • STUFF Function
    • STUFF without Deleting Function
    • UPPER and lower Functions
  • Interrogating the Data
    • Quiz – What would the Answer be?
    • The NULLIF Command
    • Quiz – Fill in the Answers for the NULLIF Command
    • The COALESCE Command – Fill In the Answers
    • COALESCE is Equivalent to This CASE Statement
    • The Basics of CAST (Convert and Store)
    • Some Great CAST (Convert and Store) Examples
    • A Rounding Example
    • Quiz - CAST Examples
    • Quiz - The Basics of the CASE Statements
    • Using an ELSE in the Case Statement
    • Using an ELSE as a Safety Net
    • Rules For a Valued Case Statement
    • Rules for a Searched Case Statement
    • Valued Case Vs. A Searched Case
    • Quiz - Valued Case Statement
    • Quiz - Searched Case Statement
    • Quiz - When NO ELSE is present in CASE Statement
    • Quiz -When an Alias is NOT used in a CASE Statement
    • Combining Searched Case and Valued Case
    • A Trick for getting a Horizontal Case
    • Nested Case
    • Put a CASE in the ORDER BY
  • Table Create and Data Types
    • Creating a Table that is a Heap
    • Heap Page
    • Extents
    • Creating a Table That Has a Clustered Index
    • Clustered Index Page
    • When Do I Create a Clustered Index?
    • B-Trees
    • The Building of a B-Tree For a Clustered Index
    • The Row Offset Array is the Guidance System For Every Row
    • The Row Offset Array Provides Two Search Options
    • The Row Offset Array Helps With Inserts
    • Adding an Index
    • When Do I Create a Non Clustered Index?
    • B-Tree For Non Clustered Index on a Clustered Table
    • Adding A Non Clustered Index To A Heap
    • B-Tree For Non Clustered Index on a Heap Table
    • A Primary Key Constraint
    • The Difference between a Primary Key vs. Unique Constraint
    • Primary Key Foreign Key Constraints
    • More Information about Foreign Key Constraints
    • Check Constraint
    • Default Values
    • Identity Columns
    • Computed Columns
    • Compression
  • View Functions
    • The Fundamentals of Views
    • Creating a Simple View to Restrict Sensitive Columns
    • Creating a Simple View to Restrict Rows
    • Basic Rules for Views
    • How to Modify a View
    • Why Bother To ALTER A View
    • Two Exceptions to the ORDER BY Rule inside a View
    • How to Get HELP with a View
    • Views sometimes CREATED for Formatting or Row Security
    • Creating a View to Join Tables Together
    • You Select From a View
    • Another Way to Alias Columns in a View CREATE
    • The Standard Way Most Aliasing is done
    • What Happens When Both Aliasing Options Are Present
    • Resolving Aliasing Problems in a View CREATE
    • Aggregates on View Aggregates
    • Altering A Table
    • Altering a Table after a View has been Created
    • A View that Errors After An ALTER
    • Troubleshooting a View
    • Updating Data in a Table through a View
    • Loading Data through a View
    • Maintenance Restrictions on a Table through a View
  • Data Manipulation Language (DML)
    • INSERT Syntax # 1
    • INSERT Example with Syntax 1
    • INSERT Syntax #2
    • INSERT Example with Syntax 2
    • INSERT Example with Syntax 3
    • INSERT/SELECT Command
    • INSERT/SELECT Example using All Columns (*)
    • INSERT/SELECT Example with Less Columns
    • The UPDATE Command Basic Syntax
    • Two UPDATE Examples
    • Subquery UPDATE Command Syntax
    • Example of Subquery UPDATE Command
    • Join UPDATE Command Syntax
    • Example of an UPDATE Join Command
    • Fast UPDATE
    • The DELETE Command Basic Syntax
    • Two DELETE Examples to DELETE ALL Rows in a Table
    • To DELETE or to TRUNCATE
    • TRUNCATE is Different from DELETE
    • A DELETE Example Deleting only Some of the Rows
    • Want to know How Many Rows were just changed
    • Subquery and Join DELETE Command Syntax
    • Example of Subquery DELETE Command
    • Example of Join DELETE Command
    • MERGE INTO Example that Matches
    • MERGE INTO Example that does NOT Match
    • User Defined Functions (UDFs)
    • User Defined Function Example
    • Replace
    • User Defined Types (UDTs)
  • Set Operators Functions
    • Rules of Set Operators
    • INTERSECT Explained Logically
    • UNION Explained Logically
    • UNION ALL Explained Logically
    • EXCEPT Explained Logically
    • Another EXCEPT Example
    • EXCEPT Explained Logically in Reverse Order
    • An Equal Amount of Columns in both SELECT List
    • Columns in the SELECT list should be from the same Domain
    • The Top Query handles all Aliases
    • The Bottom Query does the ORDER BY
    • Great Trick: Place your Set Operator in a Derived Table
    • Using UNION ALL and Literals
    • A Great Example of how EXCEPT works
    • USING Multiple SET Operators in a Single Request
    • Changing the Order of Precedence with Parentheses
    • Building Grouping Sets Using UNION
    • Three Grouping Sets Using a UNION
  • Stored Procedures
    • Creating a Stored Procedure
    • Executing a Stored Procedure
    • There are Three Ways to Execute a Stored Procedure
    • Dropping a Stored Procedure
    • Passing an Input Parameter to a Stored Procedure
    • Executing With Positional Parameters vs. Named Parameters
    • Passing an Output Parameter to a Stored Procedure
    • Changing a Stored Procedure with an ALTER
    • Answer Set for the Altered Stored Procedure
    • Displaying a Stored Procedure’s Definition
    • Encrypting a Stored Procedure’s Definition
    • Using a Stored Procedure to Delete a Row
    • A Different Method to Delete a Row
    • Deleting a Row Using an Input Parameter
    • Using Loops in Stored Procedures
    • Stored Procedure Workshop
    • Looping with a WHILE Statement
  • Statistical Aggregate Functions
    • The Stats Table
    • Above is the Stats_Table data in which we will use in our statistical examples
    • The VAR and VARP Functions
    • A VAR Example
    • A VARP Example
    • The STDEV and STDEVP Functions
    • A STDEV Example
    • A STDEVP Example
  • Nexus
    • Nexus is Now Available on the Microsoft Azure Cloud
    • Nexus Queries Every Major System
    • Setup of Nexus is as easy as pie
    • Setup of Nexus is a Easy as 1, 2, 3
    • Nexus Data Visualization
    • Nexus Data Visualization Shows What Tables Can Be Joined
    • Nexus is doing a Five-Table Join
    • Nexus Generates the SQL Automatically
    • Nexus Delivers the Report
    • Cross-System Joins from Teradata, Oracle and SQL Server
    • The Tab of the Super Join Builder
    • The 9 Tabs of the Super Join Builder – Objects Tab 1
    • Selecting Columns in the Objects Tab
    • The 9 Tabs of the Super Join Builder – Columns Tab 2
    • Removing Columns from the Report in the Columns Tab
    • The 9 Tabs of the Super Join Builder – Sorting Tab 3
    • The 9 Tabs of the Super Join Builder – Joins Tab 4
    • The 9 Tabs of the Super Join Builder – Where Tab 5
    • Using the WHERE Tab For Additional WHERE or AND
    • The 9 Tabs of the Super Join Builder – SQL Tab 6
    • The 9 Tabs of the Super Join Builder – Answer Set Tab 7
    • The 9 Tabs of the Super Join Builder – Analytics Tab 9
    • Analytics Tab
    • Analytics Tab – OLAP Example
    • Analytics Tab – OLAP Example of SQL Generated
    • Analytics Tab – Grouping Sets Example
    • Analytics Tab – Grouping Sets Answer Set
    • Nexus Data Movement
    • Moving a Single Table To a Different System
    • The Single Table Data Movement Screen
    • Moving an Entire Database To a Different System
    • The Database Mover Screen
    • The Database Mover Options Tab
    • Converting DDL Table Structures
    • Hound Dog Compression
    • Hound Dog Compression on Teradata
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