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Data Modeling with Microsoft Power BI - by Markus Ehrenmueller-Jensen (Paperback) - 1 of 1

Data Modeling with Microsoft Power BI - by Markus Ehrenmueller-Jensen (Paperback)

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About this item

Highlights

  • 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.
  • Author(s): Markus Ehrenmueller-Jensen
  • 482 Pages
  • Computers, Data Science

Description



About the Book



"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. uthor 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."--



Book Synopsis



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
Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .97 Inches (D)
Weight: 1.68 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 482
Genre: Computers
Sub-Genre: Data Science
Publisher: O'Reilly Media
Theme: Data Modeling & Design
Format: Paperback
Author: Markus Ehrenmueller-Jensen
Language: English
Street Date: July 16, 2024
TCIN: 90417727
UPC: 9781098148553
Item Number (DPCI): 247-01-8286
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.97 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1.68 pounds
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