Shared Datasets in SQL Server 2008 R2
Shared Datasets are one of the features introduced in SQL Server 2008 R2. This article demonstrates how to implement Shared Datasets as well their use-case scenarios.
2010-07-19
4,132 reads
Shared Datasets are one of the features introduced in SQL Server 2008 R2. This article demonstrates how to implement Shared Datasets as well their use-case scenarios.
2010-07-19
4,132 reads
The capability of extending the limits of combining multiple node hierarchical structures has not been fully explored. Michael M. David presents a solution to advanced structure combining that is simple to use, generic and freely extends the way hierarchical structures can be semantically combined to produce advanced new hierarchical data structure mashups that dynamically increase the value of the data.
2010-07-16
3,196 reads
Spatial data support in SSIS is weak in comparison to SQL Server. This article demonstrates how to use the CLR to achieve the SQL Server levels of spatial data support in SSIS.
2010-07-15
2,450 reads
Extract-load-transform integration can offer performance and cost advantages over ETL. Here's how to pick the right approach.
2010-07-14
4,934 reads
If you have a server that has more than one CPU core, you may experience high values of CXPACKET wait types. This is typically due to queries that run in parallel and the real issue is to understand how different versions of a query can impact CXPACKET waits. In this tip we examine how changing a query can impact CXPACKET waits.
2010-07-13
4,058 reads
In the concluding part of the Physical Operators series we look at the Hash operator.
2010-07-12
3,790 reads
One of the most integral components and critical success factors of any enterprise data warehousing initiative is the Solutions Architecture document, a high-level conceptual model of a data warehousing solution. Learn why this collaborative effort that addresses the needs of all major stakeholders, including both the business units and Information Technology (IT), is essential.
2010-07-09
2,224 reads
You can create a database under the assumption that SQL looks after all the problems of concurrency. It will probably work fine under test conditions: then, in the production environment, it starts losing data in subtle ways that defy repetition. It is every Database Developer's nightmare. In an excerpt from his acclaimed book, Alex Kuznetsov explains why it happens, and how you can avoid such problems.
2010-07-09
3,657 reads
In this part of NULL Defense series, we will discuss how to create NULL Defense in Script Transformation.
2010-07-08
3,480 reads
The staging area tends to be one of the more overlooked components of a data warehouse architecture, and yet it is an integral part of the ETL component design. Learn why it is best to design the staging layer right the first time, enabling support of various ETL processes and related methodology, recoverability and scalability.
2010-07-07
6,197 reads
By Steve Jones
I coach volleyball and I do a lot of stat stuff on paper. I...
By Steve Jones
dolorblindness – n. the frustration that you’ll never be able to understand another person’s...
By Steve Jones
I had a customer ask about analyzing their Test Data Manager (TDM) usage to...
Is there a good syllabus for reading these two together? (Yes, it's called the...
Comments posted to this topic are about the item GPX distance and time analysis...
Comments posted to this topic are about the item The DBA is Dead; Long...
In SQL Server 2025, if I want to remove an IP from a listener, what do I do?
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