Additional Articles


External Article

Configuring Azure SQL Databases Using Azure Resource Manager Templates

Template-based provisioning simplifies deployment and promotes principles of DevOps and Infrastructure as Code, making it the recommended method for implementing cloud-based services. However, its benefits extend beyond initial implementation, since you can apply it to configuring and maintaining existing Azure SQL Database instances. In this article, you explore an example of this approach.

2019-04-17

External Article

Monitoring SQL Server Performance: What’s Required?

A monitoring tool must provide us with an understanding of the often-complex performance patterns that databases exhibit when under load, so that we can predict how they will cope with expansion or increase in scale. It must also helps us spot the symptoms of stress and act before they become problems that affect the service, and understand better what was happening within a database when an intermittent problem started.

2019-04-17

Blogs

T-SQL Tuesday #192: What career risks have you taken?

By

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

Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...

How to Parameterize Fabric Linked Services in Azure Data Factory for Azure Devops Deployment

By

Quite the title, so let me set the stage first. You have an Azure...

Read the latest Blogs

Forums

how to write this query?

By water490

hi everyone I am not sure how to write the query that will produce...

Rollback vs. Roll Forward

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Rollback vs. Roll Forward

Foreign Keys - Foes or Friend?

By utsav

Comments posted to this topic are about the item Foreign Keys - Foes or...

Visit the forum

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