Archive: August 2010

  • Calculating Run Rate in DAX for PowerPivot

    In my previous post I explained how to create a calculated MDX member that projects full year data (sales etc.) based on existing year to date data. In this post I’ll be doing exactly the same but in DAX, the new expression language used to enhance PowerPivot data. As it’s the same desired outcome, I’m not going to repeat the background, you’ll have to look at my previous post for that. The expressions below assume that…

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  • Calculate Run Rate (Full Year Projection) in MDX

    This post explains how to create an MDX calculated member that will take a value from the cube and project it forward to the end of the year. This provides a simple mechanism for calculating what your expected total will be at year end, based upon current performance. To do this more accurately you should use time series data mining models in SSAS and use DMX expressions to query the results, but this method is very simple and requires little…

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  • Seagate Momentus XT Hybrid Drive

    I thought I’d take a break from writing posts about Business Intelligence and SQL Server, and instead share with you my elation at finding a laptop hard disk that quite simply makes the world a better place, the Seagate Momentus XT hybrid drive. When I purchased my curent laptop (Dell XPS M1530 if you’re interested, with 4Gb RAM) I was presented with a choice between a fast 7200rpm 200Gb drive or a slower 5400rpm 320Gb drive. Due to…

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  • MDX Calculated Member Spanning Multiple Date Dimensions

    It’s common in most cubes to have a number of different date dimensions, whether role playing, distinct, or a combination of both. Say for example, Entry Date, Posting Date and Accounting Period. There may also be numerous hierarchies in each date dimension, such as calendar and fiscal calendar, leading to a relatively complicated array of dates to worry about when calculating semi-additive measures. If we create a date related calculation…

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  • Data Warehousing: Kimball vs Inmon

    Anyone involved in the Business Intelligence space has had their head in the sand if they are not aware of the long running, and more often than not misunderstood, debate between the two conceptual models of data warehouse design. Bill Inmon has recently posted an article on www.b-eye-network.com discussing the matter, and to his credit, has tried to put forward a number of balanced pros and cons of each methodology. I’ll state now that…

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