2018-05-11
74 reads
Editorial
Power BI Desktop on the Mac
Power Bi is one of the neatest tools that Microsoft has built for data professionals. It allows anyone to build fantastic interactive visualizations that can help tell a story and help someone make decisions. There have been some amazing demo visualizations from Microsoft customers. I've seen a predictive maintenance visualization for airplanes, one for diabetes […]
2018-05-10
3,585 reads
Anonymisation Confusion
Steve talks about the difference between anonymisation and pseudonymisation, which can be confusing.
2018-05-09
81 reads
Reading Through the Logs
The problems at TSB Bank in the UK have Steve worried about his own records.
2018-05-08
92 reads
The Technology Journey to Disaster
Phil Factor on a journey that started with a decision to introduce a new IT platform, and ended in a disaster that left TSB customers locked out of their accounts, experiencing problems such as zero balances, incorrect currencies, and massively inflated mortgage amounts.
2018-05-07
310 reads
2018-05-07
75 reads
2018-05-04
144 reads
Reasons to Upgrade
There are always reasons to upgrade or avoid upgrading to a new version. Steve Jones has a few thoughts.
2018-05-03
66 reads
Would You Move to Linux for Price?
There's a sale on the price of SQL Server for Linux and Steve wonders if people will move.
2018-05-02
68 reads
Auto-Deleting Data
Steve likes that idea of auto deleting data, especially with legislation increasing.
2018-05-01
97 reads
Blogs
What DevOps Look Like in Microsoft Fabric
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
T-SQL Tuesday #192: What career risks have you taken?
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
AI: Blog a Day – Day 3: LLM Models – Open Source vs Closed Source
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
Forums
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how to write this query?
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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