The Forgotten Editorial
Phil Factor reflects on the occasional benefits of document loss, whether accidental or less so.
Phil Factor reflects on the occasional benefits of document loss, whether accidental or less so.
How we overcame the A to Z Windows Drive-Letter limitation using Volume Mount Points
Database Lifecycle Management aims to make the development and modification of databases more predictable. Bugs are the source of more unpredictability than anything else, purely because it is so difficult to guess how long it will take to fix them. Good testing at all stages may take some time and effort, but it greatly reduces likelihood of the wildcard factor of the bug that is first detected during the deployment process; or worse, that gets into the production release.
This week Steve Jones talks about the need to get away and asks if you have plans.
In part 5 of this series covering Azure SQL Data Warehouse, Arshad Ali looks at performance optimization.
In the first of a three-part series, guest bloggers from DevOpsGuys look at the real role of Ops in DevOps. Where it changes, how it changes, and why Ops...
Today Steve Jones discusses data loss, always a scary topic for the data professional.
Take the mystery out of sysschedules and interpret the data into a plain text format.
Dattatrey Sindol explains the different ways in which you can get the row counts from all the tables in a SQL Server database.
Although linear regressions can get complicated, most jobs involving the plotting of a trendline are easy. Simple Linear Regression is handy for the SQL Programmer in making a prediction of a linear trend and giving a figure for the level probability for the prediction, and what is more, they are easy to do with the aggregation that is built into SQL.
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