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  • How to handle fact tables with different granularities in #dax #powerpivot #tabular

    A common question I receive from Excel users learning Power Pivot is how to handle table that have different granularities. In reality, this terminology is not the one they use: the concept of “table granularity” is used mostly by Kimball practitioners, who immediately identify this scenario in a “two fact tables with different granularities” ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on May 1, 2014
  • The ISEMPTY function in #dax #powerpivot #tabular

    Microsoft silently added the ISEMPTY function to the DAX language in Analysis Services build 11.00.3368 (SQL Server 2012 SP1 CU4). This function is particularly important in DAXMD (when you use DAX to query a Multidimensional model), because produces a much better execution plan in OLAP than the alternatives based on COUNTROWS. There is an ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on April 22, 2014
  • ABC Analysis in #dax: complete pattern and other links #powerpivot #tabular

    I recently published the ABC Classification article in www.daxpatterns.com, which is a more structured and organized way that recap what I already described in this blog a few years ago (see ABC Analysis in PowerPivot). The pattern describe how to implement the classification through calculated columns, so we consider it a specialization of the ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on April 17, 2014
  • Common Statistical #DAX Patterns for #powerpivot and #tabular

    DAX includes several statistical functions, such as average, variance, and standard deviation. Other common algorithms require some DAX code and we published an article about common Statistical Patterns on www.daxpatterns.com, including: Average Moving Average Variance Standard Deviation Median Mode Percentile Quartile I ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on March 20, 2014
  • LASTDATE vs. MAX? CALCULATETABLE vs. FILTER? It depends! #dax #powerpivot #tabular

    A few days ago I published the article FILTER vs CALCULATETABLE: optimization using cardinality estimation, where I try to explain why the sentence “CALCULATETABLE is better than FILTER” is not always true. In reality, CALCULATETABLE internally might use FILTER for every logical expression you use as a filter argument. What really matters is the ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on March 6, 2014
  • Implement Parameters using Slicers in #powerpivot #dax #tabular

    Apparently you cannot pass an argument to a DAX measure. In reality, you can interact with a slicer that has the only purpose of representing a parameter used by a DAX formula. You just create a table in the Power Pivot or Tabular data model, without creating any relationship with other tables in the same data model. This techniques is similar to ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on February 27, 2014
  • Distinct Count calculation on dimension attribute in #dax #powerpivot #tabular

    Creating Distinct Count calculations in DAX is pretty easy when the target of the operation is a column in the “fact table” of a star schema. When you want to apply the DISTINCTCOUNT function to a dimension attribute (such as Customer Country, Product Model, Employee Department, and so on), you need to apply one of the techniques described in ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on February 21, 2014
  • Training for DAX, Tabular and Power Pivot in 2014 #powerpivot #dax

    I hadn’t time in the last two months for new blog posts, but with some good reasons! I’ve been busy putting DAX Formatter online and writing some other stuffs that I will be happy to share very soon, aside from daily engagements with customers, of course. But the waiting is almost over, and in the meantime I’d like to share the schedule for ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on January 15, 2014
  • Format your #dax code with DAX Formatter

    When you write a DAX formula that is not trivial, you end up having a complex expression that is not really readable. I think that the same problem affect in part all Excel users, but in Excel you can easily split a formula in many steps, using different cells. This is not always possible in Tabular, because moving a sub-expression in a separate ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on December 13, 2013
  • Updates about Multidimensional vs Tabular #ssas #msbi

    I recently read the blog post from James Serra Tabular model: Not ready for prime time? (read also the comments because there are discussions about a few points raised by James) and the following post from Christian Wade Multidimensional or Tabular. In the last 2 years I worked with many companies adopting Tabular in different scenarios and I ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on November 11, 2013
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