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SQLServerCentral Editorial

Critical Data and Insomnia

Most evenings I spend some time soaking in the tub and reading articles/watching videos on InfoSec, Data Protection and AI.  It may sound like a terrible way to spend some time, but I always find it educational and I’m in shock by the lack of concern around data security, and yet….I’m not.  For decades, the […]

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2025-08-07

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SQLServerCentral Editorial

The Double-Edged Sword of AI and Data Democratization

Agentic AI is often hailed as a game-changer by organizations, bringing autonomous decision-making, intelligent automation, and powerful predictive capabilities. However, as organizations rush to leverage these technologies, those dealing with critical data in relational databases, documents and datasets, especially personally identifiable information (PII) face a harsh reality: moving AI projects from proof-of-concept to production is […]

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2025-08-06

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SQLServerCentral Editorial

When DBAs Should Consider Using SQL Server to Store Vector Data and If It Makes Sense

As we continue to build more applications using AI embedded solutions, database professionals are increasingly being asked to support workloads that would have seemed outside their charter just a few years ago. One of the most significant shifts has been the rise of vector data (i.e. high-dimensional numerical representations of content like text, images, and […]

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2025-07-26

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SQLServerCentral Editorial

Why Podcasts Matter for the Technical Professional

In a world of always-on learning and the relentless march of tech evolution, podcasts emerged as a quiet revolution in how I consume information.  I’ve been part of several podcasts this year, including recording one earlier today with Ed Roske for the Oracle community. As a data professional and technical specialist, for me they’re more […]

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2025-07-24

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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