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.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces four very similar DAX Time Intelligence functions related to Date: PREVIOUSDAY(), PREVIOUSMONTH(). PREVIOUSQUARTER() and PREVIOUSYEAR(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
Bill Pearson, Business Intelligence architect and author, exposes the DAX DISTINCT() function, and then provides some hands-on exposure to its use in generating distinct counts. Moreover, he further explores working with measures in the PivotTable in this, the third Level of our new Stairway to PowerPivot and DAX series.
Business Intelligence architect and author Bill Pearson exposes the DAX BLANK() function, and then provides some hands-on exposure to its use in managing empty values underlying our PowerPivot model designs.
Business Intelligence architect, Analysis Services Maestro, and author Bill Pearson exposes the DAX ISBLANK() function, and then provides some hands-on exposure to its use, particularly in combination with other DAX functions, in managing empty values underlying our PowerPivot model designs.
Business Intelligence architect, Analysis Services Maestro, and author Bill Pearson exposes the DAX SUM() and SUMX() functions, comparing and contrasting the two. He then provides some hands-on exposure to the use of each, particularly in combination with other DAX functions, in managing “sum” aggregations within our PowerPivot model designs.
Business Intelligence architect, Analysis Services Maestro, and author Bill Pearson explores the DAX AVERAGE() and AVERAGEX() functions, comparing and contrasting the two. He then provides some hands-on exposure to the use of each, particularly in combination with other DAX functions, in generating arithmetic means within our PowerPivot model designs.
As a part of his “Function / Iterator Pairs” mini-series, Business Intelligence architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX COUNT() and COUNTX() functions, discussing similarities and differences. He then provides some hands-on exposure to the use of each, particularly in combination with other DAX functions, in generating counts to meet differing needs within our PowerPivot model designs.
By gbargsley
It's 2 AM. Your phone is going off. Users can't connect to the application,...
By Steve Jones
I discovered a procedure recently that I wasn’t aware of: sp_sequence_get_range. This post looks...
By Arun Sirpal
After a year away getting to grips with AI and its application across the...
I have a plan which in sys.query_store_plan shows: Last_compile_start_time of 2026-04-23 00:13:00.7670000 +00:00 Last_execution_time...
Fisher Phillips is looking for a Financial Systems Administrator to help support and improve our financial...
Employee owned company, been around for over 50 years. Hybrid opportunity, looking folks in Pacific...
I want to create a JSON document that contains data from this table:
TeamID TeamNameCity YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName) FROM dbo.NFLTeams n;See possible answers