2020-05-01
551 reads
DAX
DAX for SQL Folks: Part II - Translating SQL Queries to DAX Queries
Introduction In response to my approach in the popular MDX Guide for SQL Folks series, I am using SQL as a good frame of reference for starting or developing a new approach for improving your Data Analysis Expression(DAX) language learning experience. This is useful for developers starting to learn the DAX language to more advanced developers who […]
2020-04-30
43,067 reads
2020-04-24
645 reads
2020-04-17
480 reads
2020-04-10
491 reads
2020-04-03
509 reads
Using the RANKX function in Power BI
Introduction In this article, I'll explain the use of the RANKX function available in DAX. The RANKX is a sortation function which is capable of performing a quite complex sorting and ranking based on the groups and values available in the dataset. It returns the ranking of a particular number available in each row of […]
2020-03-12
20,177 reads
Mean Median Mode using SQL and DAX
This article explains how to calculate the important statistical functions, MEAN, MEDIAN, and MODE, in both T-SQL and DAX.
2020-02-28
34,318 reads
Month-over-Month calculation using DAX in Power BI
Introduction Period-over-period is an analysis technique in business that measures some value in the present and compares it to the same measurement in a comparable period of time in the past. The goal is to adjust the slice of the past you are viewing, so the same amount of time has passed in the two […]
2020-01-27
78,034 reads
2019-10-03
1,220 reads
Blogs
T-SQL Tuesday #192: What career risks have you taken?
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
AI: Blog a Day – Day 3: LLM Models – Open Source vs Closed Source
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
How to Parameterize Fabric Linked Services in Azure Data Factory for Azure Devops Deployment
Quite the title, so let me set the stage first. You have an Azure...
Forums
Rollback vs. Roll Forward
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Fun with JSON I
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A Quick Restore
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Question of the Day
Fun with JSON I
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 *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers