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Amazon Redshift Basics (Architecture) and SQL

Course content updated by LearnQuest
Price
3,825 USD
5 Days
AMRS-100
Classroom Training, Online Training
Limited Time Offer
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Course Description

Overview

This Amazon Redshift Basics (Architecture) and SQL course is designed to provide students with a great understanding of both the Amazon Redshift architecture and every SQL command. This course is filled with hundreds of examples and designed for continuous hands-on application.
 

Objectives

Upon completion of the Amazon Redshift Basics (Architecture) and SQL course, students will be able to:
  • Understand the Amazon Redshift architecture
  • Define parallel processing
  • Utilize best practices for table design
  • Recognize compression types
  • Use EXPLAIN
  • Understand every SQL command
  • Apply basic SQL functions
  • Troubleshoot aggregates
  • Understand temporary and derived tables
  • Integrate data using commands

Audience

  • IT Professionals

Prerequisites

    • Strong experience in using SQL

Topics

Redshift Architecture
  • What is Columnar?
    • What is Parallel Processing?
    • The Basics of a Single Computer
    • Data in Memory is Fast as Lightning
    • Parallel Processing Of Data
    • A Table has Columns and Rows
    • Each Parallel Process Organizes the Rows inside a Data Block
    • Moving Data Blocks is Like Checking In Luggage
    • Facts That Are Disturbing
    • Why Columnar?
    • Row Based Blocks vs. Columnar Based Blocks
    • As Row-Based Tables Get Bigger, the Blocks Split
    • Data Blocks Are Processed One at a Time Per Unit
    • Columnar Tables Store Each Column in Separate Blocks
    • Visualize the Data – Rows vs. Columns
    • The Architecture of Redshift
    • Redshift has Linear Scalability
    • Distribution Styles
    • Distribution Key Where the Data is Unique
    • Another Way to Create A Table
    • Distribution Key Where the Data is Non-Unique
    • Distribution Key is ALL
    • Even Distribution Key
    • Matching Distribution Keys for Co-Location of Joins
    • Big Table / Small Table Joins
    • Fact and Dimension Table Distribution Key Designs
    • Improving Performance By Defining a Sort Key
    • Sort Keys Help Group By, Order By and Window Functions
    • Each Block Comes With Metadata
    • How Data Might Look On A Slice
    • Question – How Many Blocks Move Into Memory?
    • Quiz – Master that Query With the Metadata
    • The ANALYZE Command Collects Statistics
    • Redshift Automatically ANALYZES Some Create Statements
    • What is a Vacuum?
    • When is a Good Time to Vacuum?
    • The VACUUM Command Grooms a Table
    • Database Limits
    • Creating a Database
    • Creating a User
    • Dropping a User
    • Inserting Into a Table
    • Renaming a Table or a Column
    • Adding and Dropping a Column to a Table
  • Best Practices For Table Design
    • Converting Table Structures to Redshift
    • Best Practices for Designing Tables
    • Choose the Best Sort Key
    • Each Block Comes With Metadata
    • Creating a Sort Key
    • Sort Keys Help Group By, Order By and Window Functions
    • Choose a Great Distribution Key
    • Distribution Key Where the Data is Unique
    • Matching Distribution Keys for Co-Location of Joins
    • Big Table / Small Table Joins
    • Define Primary Key and Foreign Key Constraints
    • Primary Key and Foreign Key Examples
    • Use The Smallest Column Size When Creating Tables
    • Use Date/Time Data Types for Date Columns
    • Specify Redundant Predicates on the Sort Column
    • Setting the Statement_Timeout to Abort Long Queries
  • System Tables
    • Amazon Redshift System Tables
    • Trouble Shooting Catalog Table pg_table_def
    • Seeing the System Tables in your Nexus Tree
    • Catalog Table pg_table_def
    • Checking Tables for Skew (Poor Distribution)
    • Checking All Statements That Used the Analyze Command
    • Checking Tables for Skew (Poor Distribution)
    • Checking For Details About the Last Copy Operation
    • Checking When a Table Has Last Been Analyzed
    • Checking For Column Information on a Table
    • System tables for troubleshooting data loads
    • Determining Whether a Query is Writing to Disk
  • Compression
    • Compression Types
    • Byte Dictionary Compression
    • Delta Encoding
    • LZO Encoding
    • Mostly Encoding
    • Runlength encoding
    • Text255 and Text32k Encodings
    • ANALYZE COMPRESSION
    • Copy
  • Temporary Tables
    • Create Table Syntax
    • Basic Temporary Table Examples
    • Advanced Temporary Table Examples
    • Table Limits and CTAS
    • Performing a Deep Copy
    • Deep Copy Using the Original DDL
    • Deep Copy Using A CTAS
    • Deep Copy Using A Create Table LIKE
    • Deep Copy By Creating a Temp Table and Truncating Original
    • CREATING A Derived Table
    • The Three Components of a Derived Table
    • Naming the Derived Table
    • Aliasing the Column Names in The Derived Table
    • Visualize This Derived Table
    • Most Derived Tables Are Used To Join To Other Tables
    • Multiple Ways to Alias the Columns in a Derived Table
    • Our Join Example With A Different Column Aliasing Style
    • Column Aliasing Can Default For Normal Columns
    • CREATING A Derived Table using the WITH Command
    • Our Join Example With The WITH Syntax
    • WITH Statement That Uses a SELECT *
    • A WITH Clause That Produces Two Tables
    • The Same Derived Query shown Three Different Ways
    • 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
    • Connecting To Redshift Via Nexus
  • Explain
    • Three Ways to Run an EXPLAIN
    • EXPLAIN – Steps, Segments and Streams
    • EXPLAIN Terms For Scans and Joins
    • EXPLAIN Terms For Aggregation and Sorts
    • EXPLAIN Terms For Set Operators and Miscellaneous Terms
    • EXPLAIN Example and the Cost
    • EXPLAIN Example and the Rows
    • EXPLAIN Example and the Width
    • Simple EXPLAIN Example and the Costs
    • EXPLAIN Join Example Using DS_BCAST_INNER
    • EXPLAIN Join Example Using DS_DIST_NONE
    • EXPLAIN Showing DS_DIST_NONE Visually
    • EXPLAIN With a Warning
    • EXPLAIN For Ordered Analytics Such as CSUM
    • EXPLAIN For Scalar Aggregate Functions
    • EXPLAIN For HashAggregate Functions
    • EXPLAIN Using Limit, Merge and Sort
    • EXPLAIN Using a WHERE Clause Filter
    • EXPLAIN Using the Keyword Distinct
    • EXPLAIN for Subqueries
  • Redshift SQL
  • Basic SQL Functions
    • Finding the Current Schema on the Leader Node
    • Getting Things Setup in Your Search Path
    • Five Details You Need To Know About The Search_Path
    • Introduction
    • SELECT * (All Columns) in a 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
    • How to ALIAS a Column Name
    • 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
  • The WHERE Clause
    • Using Limit to bring back a Sample
    • Using Limit With an Order By Statement
    • The WHERE Clause limits Returning Rows
    • Using a Column ALIAS throughout the SQL
    • Double Quoted Aliases are for Reserved Words and Spaces
    • Character Data needs Single Quotes in the WHERE Clause
    • Character Data needs Single Quotes, but Numbers Don’t
    • 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
    • Using a NOT IN List
    • A Technique for Handling Nulls with a NOT IN List
    • Another 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 Works Differently on Char Vs Varchar
    • The Ilike Command Is NOT Case Sensitive
    • Troubleshooting LIKE Command on Character Data
    • Introducing the TRIM 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
    • Use the TRIM command to remove spaces on CHAR Data
    • Like and Your Escape Character of Choice
    • Like and the Default Escape Character
    • Similar To Operators
    • Similar To Example With Lower Case Letters
    • Similar To Example With Lower and Upper Case Letters
    • Similar To Example With Multiple Occurrences
    • Multiple Occurrences Must Be Consecutive
  • Distinct Vs 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!
    • What is the Difference between TOP and LIMIT?
  • 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
    • GROUP BY Dept_No or GROUP BY 1 the same thing
    • Limiting Rows and Improving Performance with WHERE
    • WHERE Clause in Aggregation limits unneeded Calculations
    • Keyword HAVING tests Aggregates after they are Totaled
    • Keyword HAVING is like an Extra WHERE Clause for Totals
  • 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
    • LEFT OUTER JOIN Results
    • Left Outer Joins Compatible with Oracle
    • RIGHT OUTER JOIN
    • RIGHT OUTER JOIN Example and Results
    • Right Outer Joins Compatible with Oracle
    • FULL OUTER JOIN
    • FULL OUTER JOIN Results
    • Which Tables are the Left and Which are the 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?
    • 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?
    • 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 Functions
    • Current_Date
    • TIMEOFDAY()
    • SYSDATE Returns a Timestamp With Microseconds
    • GETDATE Returns a Timestamp Without Microseconds
    • Add or Subtract Days from a date
    • The ADD_MONTHS Command Returns a Timestamp
    • The ADD_MONTHS Command With Trunc Removes Time
    • ADD_MONTHS Command to Add 1-Year or 5-Years
    • Dateadd Function And Add_Months Function are Different
    • The EXTRACT Command
    • EXTRACT from DATES and TIME
    • EXTRACT with DATE and TIME Literals
    • EXTRACT of the Month on Aggregate Queries
    • The Datediff command
    • The Datediff Function on Column Data
    • The Date_Part Function Using a Date
    • The Date_Part Function Using a Time
    • Date_Part Abbreviations
    • The to_char command
    • Conversion Functions
    • Conversion Function Templates
    • Formatting A Date
    • A Summary of Math Operations on Dates
    • Using a Math Operation to find your Age in Years
    • Date Related Functions
    • A Side Title example with Reserved Words as an Alias
    • Implied Extract of Day, Month and Year
    • DATE_PART Function
    • DATE_PART Function using an ALIAS
    • DATE_TRUNC Function
    • DATE_TRUNC Function using TIME
    • MONTHS_BETWEEN Function
    • MONTHS_BETWEEN Function in Action
    • ANSI TIME
    • ANSI TIMESTAMP
    • Redshift TIMESTAMP Function
    • Redshift TO_TIMESTAMP Function
    • Redshift NOW() Function
    • Redshift TIMEOFDAY Function
    • Redshift AGE Function
    • Time Zones
    • Setting Time Zones
    • Using Time Zones
    • Intervals for Date, Time and Timestamp
    • Using Intervals
    • Troubleshooting The Basics of a Simple Interval
    • Interval Arithmetic Results
    • A Date Interval Example
    • A Time Interval Example
    • A DATE Interval Example
    • A Complex Time Interval Example using CAST
    • A Complex Time Interval Example using CAST
    • The OVERLAPS Command
    • An OVERLAPS Example that Returns No Rows
    • The OVERLAPS Command using TIME
    • The OVERLAPS Command using a NULL Value
  • OLAP Functions
    • CSUM
    • CSUM – The Sort Explained
    • 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)
    • Reset with a PARTITION BY Statement
    • PARTITION BY only Resets a Single OLAP not ALL of them
    • ANSI Moving Window is Current Row and Preceding n Rows
    • 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
    • Moving Average
    • The Moving Window is Current Row and Preceding
    • How Moving Average Handles the Sort
    • 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
    • RANK Defaults to Ascending Order
    • Getting RANK to Sort in DESC Order
    • RANK() OVER and PARTITION BY
    • RANK() OVER And LIMIT
    • PERCENT_RANK() OVER
    • PERCENT_RANK() OVER with 14 rows in Calculation
    • PERCENT_RANK() OVER with 21 rows in Calculation
    • Quiz – What Causes the Product_ID to Reset?
    • COUNT OVER for a Sequential Number
    • Quiz – What caused the COUNT OVER to Reset?
    • The MAX OVER Command
    • MAX OVER with PARTITION BY Reset
    • The MIN OVER Command
    • Quiz – Fill in the Blank
    • The Row_Number Command
    • Quiz – How did the Row_Number Reset?
    • Standard Deviation Functions Using STDDEV / OVER
    • Standard Deviation Functions and STDDEV / OVER Syntax
    • STDDEV / OVER Example
    • VARIANCE / OVER Syntax
    • Variance Functions Using VARIANCE / OVER
    • Using VARIANCE with PARTITION BY Example
    • Using FIRST_VALUE and LAST_VALUE
    • Using FIRST_VALUE
    • Using LAST_VALUE
    • Using LAG and LEAD
    • Using LEAD
    • Using LEAD With and Offset of 2
    • Using LAG
    • Using LAG With an Offset of 2
  • Temporary Tables
    • CREATING A Derived Table
    • The Three Components of a Derived Table
    • Naming the Derived Table
    • Aliasing the Column Names in The Derived Table
    • Visualize This Derived Table
    • Most Derived Tables Are Used To Join To Other Tables
    • Multiple Ways to Alias the Columns in a Derived Table
    • Our Join Example With A Different Column Aliasing Style
    • Column Aliasing Can Default For Normal Columns
    • CREATING A Derived Table using the WITH Command
    • Our Join Example With The WITH Syntax
    • WITH
    • A WITH Clause That Produces Two Tables
    • The Same Derived Query shown Three Different Ways
    • 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
    • Create Table Syntax
    • Basic Temporary Table Examples
    • More Advanced Temporary Table Examples
    • Advanced Temporary Table Examples
    • Performing a Deep Copy
    • Deep Copy Using the Original DDL
    • Deep Copy Using A CTAS
    • Deep Copy Using A Create Table LIKE
    • Deep Copy By Creating a Temp Table and Truncating Original
  • 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 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 NOT Subquery
    • Quiz- Write the Subquery using a WHERE Clause
    • Quiz- Write the Subquery with Two Parameters
    • How the Double Parameter Subquery Works
    • More on how the Double Parameter Subquery Works
    • 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?
  • Substrings and Positioning Functions
    • The TRIM Command trims both Leading and Trailing Spaces
    • A Visual of the TRIM Command Using Concatenation
    • Trim and Trailing is Case Sensitive
    • How to TRIM Trailing Letters
    • The SUBSTRING Command
    • How SUBSTRING Works with NO ENDING POSITION
    • Using SUBSTRING to move Backwards
    • How SUBSTRING Works with a Starting Position of -1
    • How SUBSTRING Works with an Ending Position of 0
    • The POSITION Command finds a Letters Position
    • Quiz – Find that SUBSTRING Starting Position
    • Using the SUBSTRING to Find the Second Word On
    • Quiz – Why Did only one Row Return
    • Concatenation
    • Concatenation and SUBSTRING
    • Four Concatenations Together
    • Troubleshooting Concatenation
    • Declaring a Cursor
  • Interrogating the Data
    • Quiz – What would the Answer be?
    • The NULLIFZERO Command
    • Quiz – Fill in the Blank Values in the Answer Set
    • Quiz – Fill in the Answers for the NULLIF Command
    • The ZEROIFNULL Command
    • The COALESCE Command
    • The COALESCE Answer Set
    • The Coalesce Quiz
    • The Basics of CAST (Convert And STore)
    • Some Great CAST (Convert And STore) Examples
    • The Basics of the CASE Statements
    • The Basics of the 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
    • When an ELSE is present in CASE Statement
    • When an Alias is NOT used in a CASE Statement
    • Combining Searched Case and Valued Case
    • Nested Case
    • Put a CASE in the ORDER BY
  • View Functions
    • Creating a Simple View to Restrict Sensitive Columns
    • Creating a Simple View to Restrict Rows
    • Creating a View to Join Tables Together
    • You Select From a View
    • Basic Rules for Views
    • An ORDER BY Example Inside of a View
    • An ORDER BY Inside of a View That is Queried Differently
    • Creating a View With Ordered Analytics
    • Creating a View With The TOP Command
    • Creating a View With The LIMIT Command
    • 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
  • Set Operators Functions
    • Rules of Set Operators
    • INTERSECT Explained Logically
    • INTERSECT Explained Logically
    • UNION Explained Logically
    • UNION Explained Logically
    • UNION ALL Explained Logically
    • UNION Explained Logically
    • EXCEPT Explained Logically
    • EXCEPT Explained Logically
    • Minus Explained Logically
    • Minus Explained Logically
    • Testing Your Knowledge
    • 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 (a Number)
    • Great Trick: Place your Set Operator in a Derived Table
    • UNION vs. UNION ALL
    • A Great Example of how EXCEPT works
  • Statistical Aggregate Functions
    • The Stats Table
    • STDDEV
    • Casting STDDEV_SAMP and SQRT (VAR_SAMP)
    • The STDDEV_POP Function
    • A STDDEV_POP Example
    • The STDDEV_SAMP Function
    • A STDDEV_SAMP Example
    • The VAR_POP Function
    • A VAR_POP Example
    • The VAR_SAMP Function
    • A VAR_SAMP Example
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