Data Warehousing Tip #3 – Build thin slice
My third data warehousing tip is to build thin slice. Deliver subsets of valuable functionality. Get feedback and buy in,...
2019-01-16 (first published: 2019-01-07)
2,837 reads
My third data warehousing tip is to build thin slice. Deliver subsets of valuable functionality. Get feedback and buy in,...
2019-01-16 (first published: 2019-01-07)
2,837 reads
I’ve seen data warehouses that nobody trusts, or are just too complex for end users to report on. Users will...
2018-12-28
1,358 reads
My first data warehousing tip is to store fact data at the leaf level. If you aggregate your fact data...
2018-12-10
316 reads
Part 1 of this series of articles looked at the intricacies of SQL Server transactional replication, and made the observation that the...
2014-10-27 (first published: 2014-10-20)
6,812 reads
The impact of having data sitting in the distribution database that doesn’t need to be there can be significant. The...
2012-11-26
3,990 reads
In this series of blog posts I will looking at issues regarding the size and performance of the distribution database as...
2012-11-08
18,787 reads
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Hi all, I just started using VS Code to work with DB projects. I...
Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
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