About the Size of Things
There have been some noticable failures of big IT projects this week, but are they always a problem?
2014-04-25
109 reads
DaveConvery
2014-02-17
177 reads
Terrifyingly Accurate Technology Predictions for 2014
The end of a year is a time for reflection, but it’s also a time for running full-pelt at the new year with some ill-thought-out predictions under ones belt. It’s with this in mind that I fire up my 100%-accurate Criswell-Brand crystal ball, and peer into next year’s world of technology.
2013-12-23
172 reads
The End of Privacy: Tragically Comical Edition
It’s hard to avoid privacy-based stories at the moment, with growing concern over government snooping and the limits of power. But where I’m based, in the UK, there’s a new, fully-privatised invasion of privacy. One marketing company has created an outdoor wi-fi basestation that grabs your phone’s MAC address as you pass, with the idea […]
2013-08-19
79 reads
How Do We Learn?
With a huge increase in the number of online learning frameworks, Dave Convery wonders how comfortable people are with this new way of polishing their skills.
2013-06-03
218 reads
Excuses Execrating Excel
A bad workman always blames his tools. So does the entire western media, it seems, as poor old Excel gets it in the neck for some appalling calculation errors in economic papers.
2013-04-22
220 reads
Big Data: Cash Cow or Horsemeat?
The big data revolution seems to have failed to materialise, and for good reason - it's really difficult.
2013-02-18
179 reads
The Data We Give Away
We're all used to storing and protecting data, but how often to we consider the data we're generating every day?
2012-11-12
73 reads
Tuning People?
Database people are used to changing the hardware of the server on which a problem database resides, or making changes to indexes and database settings, but humans and their organisations are far more difficult to tune and optimise than databases.
2012-06-11
304 reads
Blogs
AI: Blog a Day – Day 4: Transformers – Encoder, Decoder, and Attention
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
Flyway Tips: Multiple Projects
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
What DevOps Look Like in Microsoft Fabric
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
Forums
Can an Azure App Service Managed Identity be used for SQL Login?
I'm fairly certain I know the answer to this from digging into it yesterday,...
Azure Synapse database refresh
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
how to write this query?
hi everyone I am not sure how to write the query that will produce...
Question of the Day
Fun with JSON I
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