Artificial Intelligence systems might dramatically change our world, but they need lots of help and work to get better.
Phil Factor shows you how to prevent constraint violations from ‘breaking the build’, during SQL Compare deployments, by ferreting out any conflicting rows in advance, and developing a script to fix the data.
In this article Aaron Bertrand looks at how to use SQL Server Extended Events to monitor performance of checkpoints for databases not using indirect checkpoints.
This article explains the T-SQL function STRING_SPLIT() and demonstrates a creative use for it.
For a time, it seemed that everyone wanted to build a Hadoop system. The world has changed, and that's not as popular an idea as it used to be. Today, Steve has a few thoughts.
Microsoft has added a group of features called Intelligent Query Processing to SQL Server 2017 and 2019. In this article, Greg Larsen explains one of the features, Scalar UDF Inlining.
In the latest version of Data Masker for SQL Server, it’s now much easier to rapidly identify sensitive data that needs masking, set up appropriate rules, see which masking rules are applied to which column, and locate what sensitive data you've yet to mask.
We’ve also improved the performance of commonly used masking rules, which lets you run masking operations 3 times faster.
Amazon is providing automatic redaction of PII data in there transcription service.
This article explains how to calculate the important statistical functions, MEAN, MEDIAN, and MODE, in both T-SQL and DAX.
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