Packing intervals is a classic SQL task that involves packing groups of intersecting intervals to their respective continuous intervals. In mathematics, an interval is the subset of all values of a given type, e.g., integer numbers, between some low value and some high value.
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.
Learning DAX is easy once you install the PowerPivot for Excel 2010 add-in and get practical exposure to using functions, operators and values in DAX formulas. Bill Pearson, business intelligence architect and author, kicks off another Stairway series designed to get you using DAX and PowerPivot quickly to provide actionable business intelligence in your own environment.
As a part of his “Function / Iterator Pairs” mini-series, Business Intelligence architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX Product()and ProductX() functions, discussing the syntax, uses and operation of each. He then provides hands-on exposure to Product()and ProductX(), respectively, in returning the product of numbers in a column and in returning the product of an expression evaluated for each row in a table.
Continuing his examination of the evolving DAX “Function / Iterator Pairs,” Business Intelligence Architect, Analysis Services Maestro, Microsoft Data Platform MVP and author Bill Pearson introduces the DAX Concatenate() and ConcatenateX() functions, discussing the syntax, uses and operation of each. He then provides hands-on exposure to Concatenate() and ConcatenateX(), in joining two text strings into a single text string, and in returning the concatenation of an expression evaluated for each row in a table, respectively.
Business Intelligence Architect, Analysis Services Maestro, eight-year Microsoft Data Platform MVP and author Bill Pearson introduces the DAX CountA() and CountAX() functions, discussing the syntax, uses and operation of each. He then provides hands-on exposure to CountA() and CountAX(), in counting non-empty cells in a column, and in counting nonblank results when evaluating the result of an expression over a table, respectively.
Business Intelligence Architect, Analysis Services Maestro, eight-year Microsoft Data Platform MVP and author Bill Pearson introduces the DAX All() function, discussing its syntax, basic uses and operation. He then provides hands-on exposure to All(), focusing largely upon its most basic uses in manipulating filter context.
Business Intelligence Architect, Analysis Services Maestro, eight-year Microsoft Data Platform MVP and author Bill Pearson introduces the DAX CALCULATE() function, discussing its syntax, basic uses and operation. He then provides hands-on exposure to CALCULATE(), focusing largely upon its most basic uses in evaluating an expression in a context that is modified by specified filters.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX ALLSELECTED() function, discussing its syntax, uses and operation. He then provides hands-on exposure to ALLSELECTED(), focusing largely upon its most popular use in supporting “visual totals” in Power BI.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX ALLEXCEPT() function, discussing its syntax, uses and operation. He then provides hands-on exposure to ALLEXCEPT(), focusing largely upon its most popular use in removing filters from all columns in a table - except the filters we specify.
By Steve Jones
We’re coming back to New York, which is exciting for me. I love NYC....
I previously wrote about how the underlying technology for Fabric mirroring changed with SQL...
By Steve Jones
At the recent Redgate Summit in Chicago, I demo’d (lightly) the ML based Alert...
Comments posted to this topic are about the item Seeding a Fabric Warehouse with...
Comments posted to this topic are about the item Seeding a Fabric Warehouse with...
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If I want to track historical data values, which mechanism should I use?
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