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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

Creating relationships using primary and foreign keys

A relationship in a data model is a connection between two entities. Entities are objects that represent real-world things, such as people, places, or things. Relationships can be one-to-one, one-to-many, or many-to-many.

A one-to-one relationship means that each entity in one table is related to exactly one entity in another table. For example, a customer table might have a one-to-one relationship with an address table. Each customer would have exactly one address.

A one-to-many relationship means that each entity in one table can be related to multiple entities in another table. For example, a product table might have a one-to-many relationship with an order table. Each product can be ordered multiple times.

A many-to-many relationship means that each entity in one table can be related to multiple entities in another table and vice versa. For example, a student table might have a many-to-many relationship with a course...

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