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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 Modeling with Power Pivot – Understanding How to Combine and Analyze Multiple Tables Using the Data Model

In the previous chapters, we went through a lot of concepts to help us understand data modeling and the steps involved in extracting, transforming, and loading data into the data model.

This chapter will now focus on what goes on in Power Pivot after we load our data into the data model. You will learn how to create relationships within the data model, understand the differences between fact and dimension tables, and learn about the roles of primary and foreign keys in the data model. The chapter will also explore the advantages of using relational databases to create a data model for the subsequent calculations in the book.

The following topics will be covered in this chapter:

  • Adding queries/tables to your data model
  • Creating relationships using primary and foreign keys
  • Adding columns to your data model
  • Understanding the different types of...
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