Additional Articles


Technical Article

SQL-UP! version 1.3 now available

Incepto Ltd. announced the availability of SQL-UP! version 1.3, distributed SQL Server Cluster. SQL-UP! clusters SQL Server databases over LAN or WAN, with no shared storage device.

The software provides business continuity and complete disaster protection for business-critical databases. The new version adds support for online database schema changes, inter-domain clusters and high transaction load.

2002-08-23

50 reads

Technical Article

Upcoming SQL Server SP3 Beta Program

It’s almost time for the newest Service Pack for SQL Server 2000, and you don’t want to be caught unprepared for this one. In addition to the normal QFE fixes, the top service pack requests from our PSS organization and the latest security fixes, this service pack will be shipping with MDAC version 2.7 SP1. You’re going to want to be involved in this service pack beta! This beta is scheduled to start in mid to late September.

2002-08-19

3,325 reads

Blogs

What DevOps Look Like in Microsoft Fabric

By

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

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,...

Read the latest Blogs

Forums

Azure Synapse database refresh

By Sreevathsa Mandli

Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...

Ready to launch your next big game?

By maryelbert

Looking for a creative and experienced mobile game development company that brings your game...

how to write this query?

By water490

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

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