
Microsoft Excel Pivot Table Data Crunching
by Bill Jelen (2006)
Like 'Data Modeling with Microsoft Excel', this book offers practical Excel techniques for data analysis.

by Bernard Obeng Boateng (2024)
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
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by Bill Jelen (2006)
Like 'Data Modeling with Microsoft Excel', this book offers practical Excel techniques for data analysis.

by George Mount (2024)
Similar to 'Data Modeling with Microsoft Excel', this book focuses on enhancing Excel data analysis capabilities.

by Markus Ehrenmueller-Jensen (2024)
As with 'Data Modeling with Microsoft Excel', this book delves into data modeling concepts for business insights.

by Bill Jelen (2019)
This book, like 'Data Modeling with Microsoft Excel', provides in-depth knowledge of advanced Excel functionalities.

by Martin Kleppmann (2015)
While different in scope, it shares 'Data Modeling with Microsoft Excel''s focus on structured data management principles.
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