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Data Cleaning with Power BI

You're reading from   Data Cleaning with Power BI The definitive guide to transforming dirty data into actionable insights

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Product type Paperback
Published in Feb 2024
Publisher
ISBN-13 9781805126409
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Gus Frazer Gus Frazer
Author Profile Icon Gus Frazer
Gus Frazer
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Table of Contents (23) Chapters Close

Preface 1. Part 1 – Introduction and Fundamentals FREE CHAPTER
2. Chapter 1: Introduction to Power BI Data Cleaning 3. Chapter 2: Understanding Data Quality and Why Data Cleaning is Important 4. Chapter 3: Data Cleaning Fundamentals and Principles 5. Chapter 4: The Most Common Data Cleaning Operations 6. Part 2 – Data Import and Query Editor
7. Chapter 5: Importing Data into Power BI 8. Chapter 6: Cleaning Data with Query Editor 9. Chapter 7: Transforming Data with the M Language 10. Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA) 11. Part 3 – Advanced Data Cleaning and Optimizations
12. Chapter 9: Advanced Data Cleaning Techniques 13. Chapter 10: Creating Custom Functions in Power Query 14. Chapter 11: M Query Optimization 15. Chapter 12: Data Modeling and Managing Relationships 16. Part 4 – Paginated Reports, Automations, and OpenAI
17. Chapter 13: Preparing Data for Paginated Reporting 18. Chapter 14: Automating Data Cleaning Tasks with Power Automate 19. Chapter 15: Making Life Easier with OpenAI 20. Assessments 21. Index 22. Other Books You May Enjoy

Understanding what’s the right cardinality

In the realm of Power BI data modeling, the concept of cardinality plays a pivotal role, influencing the dynamics of relationships between tables. Cardinality essentially defines how tables are interconnected, laying the groundwork for precise and efficient report generation. To grasp cardinality, imagine it as the rulebook that dictates how rows in one table relate to rows in another. A robust understanding of cardinality is fundamental for anyone creating a Power BI data model, as it underpins the accuracy and efficiency of subsequent reporting.

In this section, we’ll explore what cardinality is, why it’s essential, and how to make the right choices to ensure your data model is both accurate and high-performing. Let’s start!

Understanding cardinality

Cardinality is all about defining the nature of the relationship between two tables. It answers questions such as “For each row in Table A, how many...

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