Configure Extensible Key Management Using Azure Key Vault - Level 3 of the Stairway to TDE
In this third level of the Stairway, we examine how to store your encryption certificate in the Azure Key Vault.
Level 24: Time Intelligence – Dates Functions: The DAX OPENINGBALANCE*() Functions
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces three similar DAX Time Intelligence functions related to Date: OPENINGBALANCEMONTH(), OPENINGBALANCEQUARTER(). and OPENINGBALANCEYEAR(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
Level 27: Time Intelligence – Dates Functions: The DAX “Parallel Period” and “Same Period Last Year” Functions
Business Intelligence Architect, “Analysis Services Maestro, and author Bill Pearson introduces two somewhat similar DAX Time Intelligence functions related to “parallel” Date periods: PARALLELPERIOD() and SAMEPERIODLASTYEAR(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
Removing TDE from a Database: Level 4 of the Stairway to TDE
Learn how to remove TDE from a database and return it to a normal state.
Restore a Backup of a TDE Database to Another Server: Level 2 of the Stairway to TDE
In the second level of the stairway to TDE, we examine how you can restore your databases on another instance after moving the encryption certificate.
Stairway to DAX and Power BI - Level 1: Getting Started with PowerPivot and DAX
Learning DAX is easy once you install the PowerPivot for Excel 2010 add-in and get practical exposure to using functions, operators and values in DAX formulas. Bill Pearson, business intelligence architect and author, kicks off another Stairway series designed to get you using DAX and PowerPivot quickly to provide actionable business intelligence in your own environment.
Stairway to DAX and Power BI - Level 10: Function / Iterator Function Pairs: The DAX Product() and ProductX() Functions
As a part of his “Function / Iterator Pairs” mini-series, Business Intelligence architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX Product()and ProductX() functions, discussing the syntax, uses and operation of each. He then provides hands-on exposure to Product()and ProductX(), respectively, in returning the product of numbers in a column and in returning the product of an expression evaluated for each row in a table.
Stairway to DAX and Power BI - Level 11: Function / Iterator Function Pairs: The DAX Concatenate() and ConcatenateX() Functions
Continuing his examination of the evolving DAX “Function / Iterator Pairs,” Business Intelligence Architect, Analysis Services Maestro, Microsoft Data Platform MVP and author Bill Pearson introduces the DAX Concatenate() and ConcatenateX() functions, discussing the syntax, uses and operation of each. He then provides hands-on exposure to Concatenate() and ConcatenateX(), in joining two text strings into a single text string, and in returning the concatenation of an expression evaluated for each row in a table, respectively.
Stairway to DAX and Power BI - Level 12: Function / Iterator Function Pairs: The DAX CountA() and CountAX() Functions
Business Intelligence Architect, Analysis Services Maestro, eight-year Microsoft Data Platform MVP and author Bill Pearson introduces the DAX CountA() and CountAX() functions, discussing the syntax, uses and operation of each. He then provides hands-on exposure to CountA() and CountAX(), in counting non-empty cells in a column, and in counting nonblank results when evaluating the result of an expression over a table, respectively.
Stairway to DAX and Power BI - Level 13: Simple Context Manipulation: Introducing the DAX All() Function
Business Intelligence Architect, Analysis Services Maestro, eight-year Microsoft Data Platform MVP and author Bill Pearson introduces the DAX All() function, discussing its syntax, basic uses and operation. He then provides hands-on exposure to All(), focusing largely upon its most basic uses in manipulating filter context.
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Question of the Day
Getting the Average
I have this data in the dbo.Commission table in a SQL Server 2022 database.
salesperson commission Brian 12 Brian 16 Andy 7 Andy 14 Andy 21 Steve 20 Steve NULLAll the data is a varchar, and I decide to run this query to get the totals for each salesperson.
SELECT SalesPerson
, AVG(TRY_PARSE(Commission AS int)) AS TotalCommission
FROM commission
GROUP BY SalesPerson
GO
What average commission is calculated for Steve? See possible answers