compact edition

SQLServerCentral Article

Introduction to SQL Server Everywhere

  • Article

SQL Server 2005 has grown to include more versions of the platform than ever before. One of the newest is SQL Server Everywhere, now known as SQL Server Compact Edition. Jacob Sebastian brings us a great introduction for you to understand how this version disappears from the others and where it can be used.

(1)

You rated this post out of 5. Change rating

2007-06-13

8,003 reads

Technical Article

A First Look at Express Manager

  • Article

Microsoft describes its new, free SQL Server 2005 Express Manager (XM) as a "lightweight" database management tool built on top of the .NET Framework 2.0. Better yet, not only can you use XM to manage SQL Server 2005 Developer and Express Edition databases on local and remote computers, you can also use it with SQL Server 2000 and SQL Server 2000 Desktop Engine (MSDE 2000) databases. In this article, Rick Dobson shows you what XM offers DBAs.

2005-07-13

3,330 reads

Blogs

AI: Blog a Day – Day 4: Transformers – Encoder, Decoder, and Attention

By

Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...

Flyway Tips: Multiple Projects

By

One of the nice things about Flyway Desktop is that it helps you manage...

What DevOps Look Like in Microsoft Fabric

By

Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...

Read the latest Blogs

Forums

Can an Azure App Service Managed Identity be used for SQL Login?

By jasona.work

I'm fairly certain I know the answer to this from digging into it yesterday,...

Azure Synapse database refresh

By Sreevathsa Mandli

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

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