Koen Verbeeck

Koen Verbeeck

Koen Verbeeck

Koen Verbeeck is a Business Intelligence professional working at element61. He helps clients to get insight in their data and to improve their business intelligence solutions.

Koen has over 7 years of experience in developing data warehouses, cubes, and reports using the Microsoft BI stack. Somehow he has developed a particular love for Integration Services along the way.

He has a blog at http://www.sqlkover.com and he is a frequent speaker at local SQL Server events. You can find him on Twitter as @Ko_Ver.

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Koen Verbeeck

How to partition an SSAS Cube in Analysis Services Multidimensional

February 28, 2017 by

Partitioning is the concept where you divide your data from one logical unit into separate physical chunks. This can have several advantages, such as improved performance or easier maintenance. You can for example partition a table in a SQL Server database, but you can also partition your measure groups inside an Analysis Services (SSAS) Multidimensional cube. In this article, we’ll discuss how you can set-up partitioning. For more information about the expected benefits, take a look at Benefits of Partitioning your SSAS Multidimensional Cube.

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Integration Services Performance Best Practices – Writing to the Destination

January 26, 2017 by

With this article, we continue part 1 of common best practices to optimize the performance of Integration Services packages. As mentioned in the previous article “Integration Services (SSIS) Performance Best Practices – Data Flow Optimization“, it’s not an exhaustive list of all possible performance improvements for SSIS packages. It merely represents a set of best practices that will guide you through the most common development patterns.

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Integration Services Performance Best Practices – Data Flow Optimization

January 26, 2017 by

In this article, we’ll present a couple of common best practices regarding the performance of Integration Services (SSIS) packages. These are general guidelines for package design and development which guarantee a good performance in most use cases. However, there are always exceptional cases and outliers. The mantra of “measure twice, cut once” also applies here. Thoroughly test any changes to your packages to conclude that a change made a positive effect. This means not only running the in the designer, but also on the server. Also, this article is not an exhaustive list of all possible performance improvements for SSIS packages. It merely represents a set of best practices that will guide you through the most common development patterns.

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