Pareto Principle for Power BI: Few Tricks, Big Wins (with Denis Selimovic)

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  • Опубликовано: 21 окт 2024

Комментарии • 8

  • @goldwhispers
    @goldwhispers Год назад

    I want both those t-shirts! I’m about to start paraphrasing Roche and Havens in my own training sessions! Great session thanks

  • @katharinecooney9727
    @katharinecooney9727 Год назад

    Thank you for such great, immediately useful, content, Reid and Denis!

  • @businessinsights_AlexRobe
    @businessinsights_AlexRobe Год назад

    Great content again, Reid & Denis!
    I love the approach to have those guidelines seen as something to aspire for but no NoGos - especially your example with the calculated columns. After many projects without any I also ended up using one recently, as my table scans for initial delivery date per product over millions of fact rows basically worked - but just when few product categories were filtered. The complete result table wouldn't render in the visual due to excessive memory usage. Moving this as a flag in a calculated column made it not only blazing fast but actually allowed to display the whole dataset in a table visual.
    Not that anyone would really need to see the whole table, but the user being able to create broken visuals is never good.

    • @HavensConsulting
      @HavensConsulting  Год назад

      Great example of an exception on when to use a calculated column. Thank you!

  • @pabeader1941
    @pabeader1941 Год назад

    Just an interesting note about query folding. Sometimes if it breaks try a different way to do that function. Like if you use the upper menu to do uppercase, try using the right-click way of doing it. I've seen where one will fold and the other will not and it's not consistent.

    • @HavensConsulting
      @HavensConsulting  Год назад

      Hmmmm, is the M code identical otherwise? Also if it's loading a cached preview of the table on screen, it doesn't always show the clickable show native query button, if you refresh the step though, it can show. Though the 100% sure way of knowing is to run something like SQL profiler to see what's being passed back to the DB :)