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Data Cleaning with Power BI

You're reading from  Data Cleaning with Power BI

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781805126409
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Gus Frazer Gus Frazer
Profile icon Gus Frazer

Table of Contents (23) Chapters

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