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.
Business Intelligence Architect, Analysis Services Maestro, eight-year Microsoft Data Platform MVP and author Bill Pearson introduces the DAX CALCULATE() function, discussing its syntax, basic uses and operation. He then provides hands-on exposure to CALCULATE(), focusing largely upon its most basic uses in evaluating an expression in a context that is modified by specified filters.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX ALLSELECTED() function, discussing its syntax, uses and operation. He then provides hands-on exposure to ALLSELECTED(), focusing largely upon its most popular use in supporting “visual totals” in Power BI.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX ALLEXCEPT() function, discussing its syntax, uses and operation. He then provides hands-on exposure to ALLEXCEPT(), focusing largely upon its most popular use in removing filters from all columns in a table - except the filters we specify.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX DATEADD() function, discussing its syntax, uses and operation. He then provides hands-on exposure to DATEADD(), focusing largely upon a popular use in creating prior-period values at multiple Date hierarchy levels.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces five DAX Time Intelligence functions related to Dates: DATESBETWEEN(), DATESINPERIOD(), DATESMTD(), DATESQTD(), and DATESYTD(). He discusses the syntax, uses and operation of each, and then provides hands-on exposure to the functions in Power BI.
Bill Pearson, business intelligence architect and author, exposes the DAX COUNTROWS() and FILTER() functions, while generally exploring, comparing and contrasting the nature and operation of calculated columns and calculated measures, in the second Level of our Stairway to PowerPivot and DAX series.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces three DAX Time Intelligence functions related to the End of Periods: ENDOFMONTH(), ENDOFQUARTER(), and ENDOFYEAR(). He discusses the syntax, uses and operation of each, and then provides hands-on exposure to the function in Power BI.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces two DAX Time Intelligence functions related to the Date: FIRSTDATE(), and LASTDATE(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces four very similar DAX Time Intelligence functions related to Date: NEXTDAY(), NEXTMONTH(). NEXTQUARTER() and NEXTYEAR(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
By Steve Jones
Next week is the 2024 PASS Data Community Summit in Seattle. I’ll be traveling...
By Steve Jones
bye-over – n. the sheepish casual vibe between two people who’ve shred an emotional...
I’m hosting a free webinar at MSSQLTips.com at the 19th of December 2024, 6PM...
Hello everyone, I hope you can help me. I have a table with measurement...
You can't handle the truth!! (about data integrity) A few good database administrators https://www.helpmasterpro.com/blog/a-few-good-database-administrators/...
I have installed Machine Learning with SQL 2022 Enterprise Edition and installed and configured...
I have run this on SQL Server 2022 for the Sales database:
ALTER DATABASE Sales SET AUTO_CREATE_STATISTICS ON (INCREMENTAL = ON)I then run this in the Sales database:
USE Sales GO CREATE STATISTICS CustomerStats1 ON dbo.Customer (CustomerKey, EmailAddress) WITH INCREMENTAL = OFFThe dbo.Customer table is partitioned. How are statistics created? See possible answers