Data Modeling with Microsoft Power BI
Language: English
Published by O'Reilly Media, US, 2024
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 55.30
Quantity: 1 available
Add to basketItem description from seller
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-SQLApply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensionsSolve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQLDiscover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQLWork with tables, relations, set operations, normal forms, dimensional modeling, and ETL.…
Seller Inventory # LU-9781098148553
- Title
- Data Modeling with Microsoft Power BI
- Author
- Markus Enhrenmueller-Jensen
- Publisher
- O'Reilly Media, US
- Publication year
- 2024
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 109814855X
- ISBN 13
- 9781098148553
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
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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