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Sonu88's avatar
Sonu88
Frequent Visitor
1 year ago
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Which table structure is most efficient for Power BI

We are designing a Fact table for use in Power BI and need guidance on the best approach for handling large datasets. Should we opt for a wide Fact table, where each KPI or metric (such as sales, rev...
  • miTutorials's avatar
    1 year ago

    Would suggest to go with Wide table and below are couple of reasons to support.

     

    1. Enables direct use of time intelligence functions like YTD, QTD, and YOY on individual KPI columns.

    2. Fewer rows and better columnar compression improve model efficiency and query speed.

    3. Supports straightforward creation of charts, trends, and comparisons without any extra filtering logic.

  • v-dineshya's avatar
    1 year ago

    Hi Sonu88 ,

    Thank you for reaching out to us on the Microsoft Fabric Community Forum.

     

    Thank you miTutorials  for sharing valuable information.

     

    Hi Sonu88 , In addition to miTutorials  , i am adding some points.

     

    The wide table format is generally more efficient and scalable.

     

    Better performance: VertiPaq (Power BI’s in-memory engine) compresses numeric columns very efficiently. With fewer rows and more numeric columns, Power BI loads and aggregates faster.

    Easier modeling: Each metric is a simple numeric column; you can use standard aggregation methods (SUM, AVERAGE, etc.) without needing to filter or pivot data first.Relationships and measures are easier to manage when each KPI is a separate column.

    Better for Trend Analysis: Calculating trends across time (e.g., YOY, 2-year trends) is more straightforward.

    Visual flexibility: Directly use any metric on axes, values, or tooltips in visuals without pivoting or unpivoting.

     

     

    If my response has resolved your query, please mark it as the "Accepted Solution" to assist others. Additionally, a "Kudos" would be appreciated if you found my response helpful.

    Thank you