self-service and enterprise data warehouses with Power BI Ehrenmueller-Jensen, Markus creator author. text Informational works. Documents d'information. cau 2024 2024 First edition. monographic eng

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441 pages illustrations 24 cm Data modeling is the single most overlooked feature in Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher. Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's semantic model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems. This book shows you how to: Normalize and denormalize with DAX, Power Query, and T-SQL Apply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensions Solve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQL Discover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQL Work with tables, relations, set operations, normal forms, dimensional modeling, and ETL. adult Markus Ehrenmueller-Jensen. Includes index. Database design Computer programs Data structures (Computer science) Business intelligence Computer programs Business intelligence Data processing Big data Bases de données Conception Logiciels Structures de données (Informatique) Business intelligence Computer programs Electronic data processing QA76.9.D26 E37 2024 9781098148553 2025421356 YDX 250424 20260104145339.0 24168591 eng