Stairway to DAX and Power BI

Stairway to DAX and Power BI - Level 7: Function / Iterator Function Pairs: The DAX AVERAGE() and AVERAGEX() Functions

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.

Stairway to DAX and Power BI

Stairway to DAX and Power BI - Level 8: The DAX COUNT() and COUNTX() Functions

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.

Stairway to DAX and Power BI

Stairway to DAX and Power BI - Level 9: Function / Iterator Function Pairs: The DAX MAX() and MAXX() Functions

As a part of his "Function / Iterator Pairs" mini-series, Business Intelligence architect, Analysis Services Maestro, SQL Server MVP, and author Bill Pearson introduces the DAX MAX() and MAXX() 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 "largest numeric values" to meet differing needs within our PowerPivot model designs.

Stairway to DAX and Power BI

Stairway to DAX and Power BI Level 25: Time Intelligence – Dates Functions: The DAX CLOSINGBALANCE*() Functions

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.

External Article

Eager Aggregation in SQL queries

Aggregation is a widely used way to summarize the content of a database. It is usually expressed with GROUP BY clause or just using aggregate functions (like COUNT or SUM). When the database engine executes a query with aggregations, it produces individual rows need to compute the required output and then performs the aggregation as (almost) last step. We discuss in this article how to re-write a query manually so that the order of operations will be different and when it can be beneficial.

Blogs

The Book of Redgate: Spread across the world

By

This was Redgate in 2010, spread across the globe. First the EU/US Here’s Asia...

Merry Christmas

By

Today is Christmas and while I do not expect anybody to actual be reading...

Self-Hosting a Photo Server the Whole Family Can Use

By

Until recently, my family's 90,000+ photos have been hidden away in the depths of...

Read the latest Blogs

Forums

Happy Holidays, Let's Do Nerdy Stuff

By Grant Fritchey

Comments posted to this topic are about the item Happy Holidays, Let's Do Nerdy...

UNISTR Escape

By Steve Jones - SSC Editor

Comments posted to this topic are about the item UNISTR Escape

Celebrating Tomorrow

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Celebrating Tomorrow

Visit the forum

Question of the Day

UNISTR Escape

In SQL Server 2025, I run this command:

SELECT UNISTR('*3041*308A*304C\3068 and good night', '*') as "A Classic";
What is returned? (assume the database has an appropriate collation) A: B: C:

See possible answers