Case Studies

Technical Article

Using SQL Server 2005 Integration Services in a Scalable Business Inte

  • Article

By using Microsoft® SQL Server™ 2005 Integration Services (SSIS) to perform metrics calculations on data extracted from the Siebel Call Center database, the cross-IT (XIT) group in Microsoft Information Technology (Microsoft IT) was able to replace a former reporting application with a new scalable and flexible reporting application to improve reporting throughout the organization

2006-02-14

1,956 reads

External Article

High Call Volume SQL Server Applications on NUMA Systems

  • Article

One of the most difficult database operations to scale-up on high-end server systems is the network call. In fact, without special precautions, a high call volume database application can have severe negative scaling on large systems. It is suspected that this problem is more pronounced on NUMA systems than basic SMP systems. A NUMA system with 16 processors can have significantly lower throughput capability than an otherwise comparable 4-way SMP system.

2005-10-25

1,754 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

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