CALCULATE

Stairway to DAX and Power BI

Stairway to DAX and Power BI - Level 17: Time Intelligence Functions: The DAX DATEADD() Function

  • Stairway Step

Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX DATEADD() function, discussing its syntax, uses and operation. He then provides hands-on exposure to DATEADD(), focusing largely upon a popular use in creating prior-period values at multiple Date hierarchy levels.

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2024-01-16 (first published: )

2,677 reads

Stairway to DAX and Power BI

Stairway to DAX and Power BI - Level 16: The DAX ALLEXCEPT() Function

  • Stairway Step

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.

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2024-01-16 (first published: )

4,923 reads

Stairway to DAX and Power BI

Stairway to DAX and Power BI - Level 15: The DAX ALLSELECTED() Function

  • Stairway Step

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.

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2024-01-16 (first published: )

3,696 reads

Stairway to DAX and Power BI

Stairway to DAX and Power BI - Level 14: DAX CALCULATE() Function: The Basics

  • Stairway Step

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.

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2024-01-16 (first published: )

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Fun with JSON II

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Changing Data Types

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Answering Questions On Dropped Columns

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Question of the Day

Fun with JSON II

I have some data in a table:

CREATE TABLE #test_data
(
    id INT PRIMARY KEY,
    name VARCHAR(100),
    birth_date DATE
);

-- Step 2: Insert rows  
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT t1.[key] AS row,
       t2.*
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t1
    CROSS APPLY OPENJSON(t1.value) t2;

See possible answers