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

Solving SQL Server Mysteries with a Whole Gang of Sleuths -Scooby Dooing Episode 4

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One thing I’ve always loved about the Scooby-Doo cartoon is that he never solved...

SQL Server Availability Groups

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Flexibility and Scale at the Database Level When SQL Server 2012 introduced Availability Groups...

Modify Power BI page visibility and active status with Semantic Link Labs

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Setting page visibility and the active page are often overlooked last steps when publishing...

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Forums

Password Guidance

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Password Guidance

Using table variables in T-SQL

By Alessandro Mortola

Comments posted to this topic are about the item Using table variables in T-SQL

Azure elastic query credential question

By cphite

I am trying to check out elastic query between two test instances we have...

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Question of the Day

Using table variables in T-SQL

What happens if you run the following code in SQL Server 2022+?

declare @t1 table (id int);

insert into @t1 (id) values (NULL), (1), (2), (3);

select count(*)
from @t1
where @t1.id is distinct from NULL;
 

See possible answers