Display Active Slicers in Power BI using Dynamic DAX
Learn how to enhance visibility using slicers in Power BI for better report filtering and user experience.
2026-06-15
Learn how to enhance visibility using slicers in Power BI for better report filtering and user experience.
2026-06-15
Business Intelligence Architect, Data Analyst, CPA, and author Bill Pearson introduces a subseries surrounding the DAX Text Functions, including LEFT(), RIGHT(), MID(), REPLACE(), and SUBSTITUTE() and breaks out the operational groups of functions involved. Next, he introduces the “Extract and Modify” group of text functions as the focus of this Level. Finally, he identifies and examines each functional member of the “Extract and Modify
2026-02-04
1,685 reads
If you don’t know, DAX (Data Analysis Expressions) is a language for creating custom calculations and aggregations in Power Pivot, Power BI, and other data analysis tools. Two functions in DAX come close to replicating the functionality but come with limitations. Which one of these functions should you use?
2025-04-04
In the December 2023 Microsoft Power BI Desktop release, more than 50 new INFO DAX functions were added. They all start with “INFO.” and return the same result as corresponding data management views (DMVs) that were available before only using a SQL-like syntax. With these new DAX functions, you can use the recently added DAX query to get metadata about your semantic mode
2025-03-10
Learn about DAX functions to use in Power BI ADDCOLUMNS, CROSSJOIN, VALUES, SUMMARIZE, GENERATE, CALENDAR, FILTER, TOPN, UNION, and NATURALINNERJOIN.
2024-02-21
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.
2024-01-24
1,982 reads
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces three similar DAX Time Intelligence functions related to Date: TOTALMTD(), TOTALQTD(), and TOTALMYD(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
2023-09-27
1,037 reads
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces three similar DAX Time Intelligence functions related to Date: CLOSINGBALANCEMONTH(), CLOSINGBALANCEQUARTER(), and CLOSINGBALANCEYEAR(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
2023-08-30
938 reads
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.
2023-08-23
1,600 reads
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.
2023-07-19
1,193 reads
By Steve Jones
I caught this interesting item over on Pinal Dave’s blog: Eleven Interview Questions that...
By Hemantgiri
I use color-coded connections in SSMS to distinguish Production, Pre-Production, UAT, and Development. But...
Comments posted to this topic are about the item Split Large Queries in Athena...
Comments posted to this topic are about the item Finding Trailing Spaces
I have some data in a SQL Server 2025 database. It looks like this for the dbo.Customer table:
CustomerID CustomerName PreferredName 1 Steve Steve 2 Andy Andy 3 Brian Brian 4 Allan Allan 5 Devin Devin 6 Steve Steve 7 Sally SallyI want to detect which names have a single trailing space. The CustomerName is a varchar() and the PreferredName is a CHAR(). Does this query detect the problem rows?
SELECT
CustomerID,
CustomerName,
PreferredName
FROM Customer
WHERE CustomerName <> RTRIM(CustomerName)
OR PreferredName <> RTRIM(PreferredName); See possible answers