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  1. The Definitive Guide to DAX - SQLBI

    The Definitive Guide to DAX (Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI) is the most comprehensive and authoritative guide to Microsoft’s DAX language for …

  2. The Definitive Guide to DAX – 2nd Edition - SQLBI

    Aug 15, 2019 · The Definitive Guide to DAX (Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI) is the most comprehensive and authoritative guide to Microsoft’s …

  3. Learn DAX, Power BI, Excel Power Pivot, and Analysis Services ... - SQLBI

    Learn how to solve the most common real-world business problems with DAX and Power BI or Excel.

  4. SSAS Tabular Workshop Microsoft SQL Server 2012 introduced BISM (Business Intelligence Semantic Model), which includes two different types of modeling for Analysis Services: Tabular and …

  5. Home - SQLBI

    Dec 29, 2025 · Business Intelligence with passion

  6. DAX - SQLBI

    DAX patterns is a collection of reusable solutions in DAX to commonly occurring business problems. The collection includes 23 patterns with video lectures and detailed explanations.

  7. Tabular Modeling in SQL Server Analysis Services (2nd Edition)

    May 3, 2025 · With SQL Server Analysis Services 2016, Microsoft has dramatically upgraded its Tabular approach to business intelligence data modeling, making Tabular the easiest and best solution for …

  8. Books - SQLBI

    Optimizing DAX, Second Edition Optimizing DAX is the state-of-the-art book on optimizing DAX expressions in Power BI and Analysis Services semantic models. Learn how to locate performance …

  9. Alberto Ferrari - SQLBI

    Alberto started working with SQL Server in 2000 and immediately his interest focused on Business Intelligence. He and Marco Russo created sqlbi.com, where they publish extensive content about …

  10. The development environment for a Tabular model is the SQL Server Data Tools for Business Intelligence. This environment requires the use of a user interface for creating each measure and …