You're reading from Data Modeling with Microsoft Excel

Product type Book

Published in Nov 2023

Publisher Packt

ISBN-13 9781803240282

Pages 316 pages

Edition 1st Edition

Languages

Concepts

Data Analysis

Author (1):

Bernard Obeng Boateng

Table of Contents (16) Chapters

Preface

1. Part 1: Overview and Introduction to Data Modeling in Microsoft Excel

2. Chapter 1: Getting Started with Data Modeling – Overview and Importance

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

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Summary

This chapter has introduced you to best practices in structuring your data for data modeling. In the real world, the data produced from most relational database management systems is already normalized. However, there will be instances where you would need to convert denormalized data into normalized data to improve calculations and reduce redundancy. After reading this chapter, you are now able to appreciate the steps you need to take to achieve this. The chapter also covered the key differences between primary keys and foreign keys and the role they play in our data model.

In the next chapter, we will learn about Power Query and how we can use this tool to shape and transform data for our data model.