Bill Pearson


Stairway to MDX

Stairway to MDX - Level 2: The Ordinal Function

Business Intelligence Architect Bill Pearson introduces the MDX Ordinal Function, as a means for generating lists and for conditionally presenting calculations. He also demonstrates the use of the function in creating datasets to support report parameter picklists.

You rated this post out of 5. Change rating

2019-03-26 (first published: )

19,845 reads

Stairway to MDX

Stairway to MDX - Level 3: The Order() Function

The Order() function provides the 'hierarchized' sorts you need for reports and applications using MDX. In this Step, Business Intelligence Architect Bill Pearson explores using the versatile Order() function for providing dataset sorts that respect dimensional hierarchies.

You rated this post out of 5. Change rating

2019-03-26 (first published: )

12,966 reads

Stairway to MDX

Stairway to MDX - Level 5: Members, and an Introduction to the MDX Members Functions

Bill explains what is meant by a 'Member' and 'Member function' in MDX. A member is an item in a dimension that include the 'measures' which are the values of the attributes that belong to a dimension. 'Measures' are themselves members of a dimension called the “measures” dimension. MDX has a set of functions, known as member functions, each of which allow us to perform operations upon any member of a dimension

You rated this post out of 5. Change rating

2019-03-26 (first published: )

9,439 reads

Stairway to MDX

Stairway to MDX - Level 12: : MDX Time/Date Series Functions: OpeningPeriod() and ClosingPeriod() Functions

BI Architect Bill Pearson continues with the second of a set of articles surrounding a group of MDX functions specialized to support the analysis of data within the context of time / date. In this article, we will explore the OpeningPeriod() and ClosingPeriod() functions, and get hands-on practice with each in meeting sample business requirements.

You rated this post out of 5. Change rating

2015-07-22

4,836 reads

Stairway to MDX

Stairway to MDX - Level 11: MDX Time/Date Series Functions: PeriodsToDate() and Derivative Shortcut Functions

BI Architect Bill Pearson launches a set of articles surrounding a group of MDX functions specialized to meet the pervasive business need to analyze data within the context of time / date. In this article, we will overview the PeriodsToDate() function, and then we will introduce "shortcut" functions that are based upon it.

You rated this post out of 5. Change rating

2015-06-17

9,775 reads

Stairway to MDX

Stairway to MDX - Level 10: “Relative” Member Functions: .CurrentMember, .PrevMember, and .NextMember

SSAS Maestro, SQL Server MVP and Business Intelligence Architect Bill Pearson introduces three “major players” within the MDX “relative” functions. These basic, but highly employed, functions include the .CurrentMember, .PrevMember and .NextMember functions.

You rated this post out of 5. Change rating

2013-06-12

7,536 reads

Blogs

Solving SQL Server Mysteries with a Whole Gang of Sleuths -Scooby Dooing Episode 4

By

One thing I’ve always loved about the Scooby-Doo cartoon is that he never solved...

SQL Server Availability Groups

By

Flexibility and Scale at the Database Level When SQL Server 2012 introduced Availability Groups...

Modify Power BI page visibility and active status with Semantic Link Labs

By

Setting page visibility and the active page are often overlooked last steps when publishing...

Read the latest Blogs

Forums

Password Guidance

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Password Guidance

Using table variables in T-SQL

By Alessandro Mortola

Comments posted to this topic are about the item Using table variables in T-SQL

Azure elastic query credential question

By cphite

I am trying to check out elastic query between two test instances we have...

Visit the forum

Question of the Day

Using table variables in T-SQL

What happens if you run the following code in SQL Server 2022+?

declare @t1 table (id int);

insert into @t1 (id) values (NULL), (1), (2), (3);

select count(*)
from @t1
where @t1.id is distinct from NULL;
 

See possible answers