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  • The state of Multidimensional and Tabular adoption

    SQL Server Analysis Services is a product that does not have its own product code, being sold as part of SQL Server. I think that also Microsoft does not know (and cannot know) the exact number of users. For this reason, it’s also more difficult to analyze the effective usage of the two different model types: Multidimensional and Tabular. Thus, ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on October 23, 2014
  • A strange behavior of AutoExist for MDX on Tabular models #powerpivot #ssas #tabular

    Alberto Ferrari wrote an interesting article about a strange behavior of AutoExist in normalized data models. I always say that a star schema is the best practice in Power Pivot and Tabular data modeling. The issue described by Alberto is another good reason to avoid snowflake schemas. I think that an example is better than many words. Consider ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on October 21, 2014
  • Advanced DAX Workshops in the upcoming months –#dax #tabular #powerpivot

    The adoption of DAX is slowly growing and we can see that from comments to article, blog posts, web site traffic (including DAX Formatter usage). For this reason, the demand for more advanced training about DAX is also increasing. We had great feedback from our last white papers (Using Tabular Models in a Large-scale Commercial Solution and SSAS ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on September 30, 2014
  • Simulate the SQL WHERE condition in DAX–#dax #powerpivot #ssas

    I recently wrote a short article about filtering data in DAX. In the last month I’ve seen a growing number of people with a SQL background going to Tabular, without having a previous experience of MDX. In my opinion, learning DAX is easier if you try to match its features to SQL rather than to MDX. The reality is that DAX is somewhere in the ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on September 29, 2014
  • Possible SWITCH Optimization in DAX – #powerpivot #dax #tabular

    In one of the Advanced DAX Workshop I taught this year, I had an interesting discussion about how to optimize a SWITCH statement (which could be frequently used checking a slicer, like in the Parameter Table pattern). Let’s start with the problem. What happen when you have such a statement? Sales :=     SWITCH ( ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on August 18, 2014
  • DIVIDE vs division operator in #dax

    Alberto Ferrari wrote an interesting article about DIVIDE performance in DAX. This new function has been introduced in SQL Server Analysis Services 2012 SP1, so it is available also in Excel 2013 (which still doesn’t have other features/fixes introduced by following Cumulative Updates…). The idea that instead of writing: IF ( Sales[Quantity] ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on July 24, 2014
  • Use of RANKX with decimal numbers in DAX #powerpivot #ssas #tabular

    Using decimal numbers in Power Pivot and Tabular might produce small rounding differences in certain calculations. This is nothing new when you work with floating point, as many programmer knows. The implementation of RANKX might suffer of a behavior producing wrong results when the measures used for the ranking returns a decimal value. For ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on July 16, 2014
  • Calculate the rolling average for 12 months in #DAX and a nice IF optimization

    Alberto published the Rolling 12 Months Average in DAX article on SQLBI a few days ago, which includes interesting consideration about how to avoid the pitfall of touching the boundaries of the Date table, which could result in a calculation error. More interesting for the geek of us is the optimization of the measure to avoid the IF statement. ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on July 3, 2014
  • Calculate New, Returning, Lost, and Recovered Customers in #dax

    Calculating the number of new and returning customers is a recurring question. I would say this is a “classical” Business Intelligence problem, very common in marketing department. I worked on these problems with many customers, with small and large datasets, and I wrote a DAX Pattern “New and Returning Customers” showing how to calculate: New ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on June 26, 2014
  • Basket Analysis with #dax in #powerpivot and #ssas #tabular

    A few days ago I published a new article on DAX Patterns web site describing how to implement Basket Analysis in DAX. This topic is a very classical one and is also covered in the many-to-many revolution white paper. It has been also discussed in several blog posts, listed here in historical order: Simple Basket Analysis in DAX by Chris Webb ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on June 12, 2014
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