Additional Articles


Technical Article

Data is at the Heart of Enterprise-Wide BI and DW

At the core of an enterprise BI/DW program is the data that is being made available to the business users who are looking to make better decisions using this information. Properly managing this information is the most critical activity of the enterprise BI team.

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2007-07-03

2,188 reads

Technical Article

Dynamic Data Warehousing - The Virtual Brand Reaches Take-Off Speed

The interest in dynamic data warehousing (DDW) is growing significantly. A sure sign that the virtual brand has reached take-off speed is claims by bloggers that they did not get enough credit for coining the concept, viral brand or idea. For example, Dan Linstedt recently went on what he described as a "rant" about "dynamic data warehousing."

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2007-07-03

2,137 reads

Technical Article

SSIS Stumpers V1 - Unpivot Example

In this series, Brian Knight shows you an actual difficult business problem to solve, gives you hints about how to solve it and then lastly shows you step-by-step instructions how to solve it if you want the help. n this video of the series, Brian demonstrate how to unpivot data that may arrive from the mainframe and load a many to many table with SSIS.

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2007-06-28

2,119 reads

Technical Article

Distributed Partitioned Views / Federated Databases: Lessons Learned

This article contains information about the things we have learned while working with Federated Databases. Before beginning it is necessary to define the terms being used. Included in this article is one solution in production that is using federated servers and Distributed Partitioned Views.

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2007-06-27

1,732 reads

Technical Article

Scale-Out Querying with Analysis Services

This white paper describes how to set up a load-balanced scalable querying environment for Microsoft SQL Server 2005 Analysis Services so that you can handle a large number of concurrent queries to your Analysis Services servers. Load-balanced querying ensures that readers of OLAP cubes can consistently query for the latest aggregations throughout the day and distribute the load of all queries among the available servers. This scale-out querying architecture optimizes cube processing time, increases the frequency of cube update, and makes processing more robust as you can afford more frequent processing and transparent error recovery.

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2007-06-26

2,630 reads

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Make It Routine

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DBCC CHECKDB Limits III

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CROSS APPLY Fundamentals: Part 1

By Imran2629

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DBCC CHECKDB Limits III

On SQL Server 2025, does DBCC CHECKDB support Memory-Optimized tables?

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