Dimensional Modeling Case Study, Part 4 – Dynamic Time Duration Dimension
In this next article, we look at creating balanced dimensions on demand.
2025-07-16
704 reads
In this next article, we look at creating balanced dimensions on demand.
2025-07-16
704 reads
In this next installment of the date dimension series, learn how to create a table that supports different types of banding.
2025-06-13
2,063 reads
Learn how you can model days in a dimension that might need to be aggregated in different ways for your data warehouse operations.
2024-02-07
2,219 reads
Learn how you can handle dimensional modeling in a data warehouse when your data uses different categorization for ages.
2024-01-12
2,926 reads
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
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