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Data Modeling with Microsoft Excel

You're reading from   Data Modeling with Microsoft Excel Model and analyze data using Power Pivot, DAX, and Cube functions

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781803240282
Length 316 pages
Edition 1st Edition
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Author (1):
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Bernard Obeng Boateng Bernard Obeng Boateng
Author Profile Icon Bernard Obeng Boateng
Bernard Obeng Boateng
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Overview and Introduction to Data Modeling in Microsoft Excel
2. Chapter 1: Getting Started with Data Modeling – Overview and Importance FREE CHAPTER 3. Chapter 2: Data Structuring for Data Models – What’s the best way to layout your data? 4. Chapter 3: Preparing Your Data for the Data Model – Cleaning and Transforming Your Data Using Power Query 5. Chapter 4: Data Modeling with Power Pivot – Understanding How to Combine and Analyze Multiple Tables Using the Data Model 6. Part 2: Creating Insightful Calculations from your Data Model using DAX and Cube Functions
7. Chapter 5: Creating DAX Calculations from Your Data Model – Introduction to Measures and Calculated Columns 8. Chapter 6: Creating Cube Functions from Your Data Model – a Flexible Alternative to Calculations in Your Data Model 9. Part 3: Putting it all together with a Dashboard
10. Chapter 7: Communicating Insights from Your Data Model Using Dashboards – Overview and Uses 11. Chapter 8: Visualization Elements for Your Dashboard – Slicers, PivotCharts, Conditional Formatting, and Shapes 12. Chapter 9: Choosing the Right Design Themes – Less Is More with Colors 13. Chapter 10: Publication and Deployment – Sharing with Report Users 14. Index 15. Other Books You May Enjoy

Data Structuring for Data Models – What’s the best way to layout your data?

How do you structure your data for the data model? Getting your data in the right shape and form is important in the data modeling process. In this chapter, we will learn about the three golden rules for data structuring. These rules make it easier to model your data and create your calculations and analysis in Microsoft Excel. You will understand the concept of data normalization and the advantages it has over flat tables for analysis. The chapter will round off with an introduction to Power Query, Microsoft Excel’s data transformation tool. When you encounter data layouts that do not conform to the best practices described in the chapter, Power Query plays a critical role in shaping and transforming the data.

The following topics will be covered in this chapter:

  • Data structuring – understanding the three golden rules
  • Denormalized and normalized data
  • Understanding...
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