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
1,773 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.
2024-01-16 (first published: 2023-09-27)
943 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.
2024-01-16 (first published: 2023-08-30)
855 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.
2024-01-16 (first published: 2023-08-23)
1,473 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.
2024-01-16 (first published: 2023-07-19)
1,080 reads
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.
2024-01-16 (first published: 2023-07-05)
1,230 reads
Judging from my experience working with business stakeholders across several organizations, slicing data by current week, previous week, two weeks ago, and so on has become a requirement for reporting. I will demonstrate a simple approach to achieve this requirement.
2023-05-01
By Steve Jones
In a previous post, I deployed a model to a database using SQL Compare...
By SQLPals
Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022 ...
By Steve Jones
Last week I spent a few days in Cambridge, UK for the Redgate Company...
Comments posted to this topic are about the item Adding and Dropping Columns II
Comments posted to this topic are about the item Leveraging DuckDB for OLAP Workloads:...
Comments posted to this topic are about the item More Documentation is Needed
I have this table in my SQL Server 2022 database:
CREATE TABLE [dbo].[CityList] ( [CityNameID] [int] NOT NULL IDENTITY(1, 1), [CityName] [varchar] (30) , [Country2] [char] (3), [stateprovince2] [char] (2), [Country] [char] (3), [stateprovince] [char] ) ON [PRIMARY] GOI decide to drop the stateprovince2 and country2 columns. What code should I use? See possible answers
