Data Documents and Common Sense
What can be so difficult in creating a sensible standard for Structured Data Documents? To understand why they tend to get improved into unusable complexity, I’ll need to explain a bit of background.
2025-01-06
What can be so difficult in creating a sensible standard for Structured Data Documents? To understand why they tend to get improved into unusable complexity, I’ll need to explain a bit of background.
2025-01-06
2025-01-08 (first published: 2025-01-03)
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2024-12-20
1,676 reads
Ever wonder all the reasons that we use databases instead of file systems? While we don’t think of it too much anymore, the first reason that databases came into existence was to remove redundancies.
2024-04-12
In this article, Joe Celko gives us a history of the different character sets that are used in computing and how that can pertain to your usage in relational databases. Some of these you may have never heard of!
2023-05-17
The VALUES clause makes inserting literal values into a table simple and easy. In this article, Joe Celko explains how to use the VALUES clause.
2022-07-01
Joe Celko explains how several mathematical concepts, combinations, permutations, and derangements, relate to databases.
2022-06-01
Everyone learns to calculate an average in school, but, as Joe Celko shows, there are better ways to summarize data.
2022-03-25
Joe Celko explains how missing data is handled from the printing press to databases.
2021-07-26
Database systems have powerful features built right in that can ensure the integrity of data. In this article, Joe Celko discusses keys and constraints.
2021-05-28
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