Mastering Dimensions of Time
A method to create and populate Date and Time dimension tables for a data warehouse project.
2014-01-21
14,108 reads
A method to create and populate Date and Time dimension tables for a data warehouse project.
2014-01-21
14,108 reads
What do you do first when developing a data warehouse? MVP Andy Leonard brings us a look at the foundation he uses, which might surprise you.
2011-04-07
9,089 reads
This article will show you how to use SSIS to create inferred dimension members on the fly during a fact table load process.
2013-12-24 (first published: 2010-12-08)
14,915 reads
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
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