Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI

Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI
by: Markus Ehrenmueller-Jensen (Author)
Publisher: O’Reilly Media
Edition: 1st
Publication Date: 2024/7/16
Language: English
Print Length: 482 pages
ISBN-10: 109814855X
ISBN-13: 9781098148553
Book Description
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
About the Author
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 Read more