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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

Working with data sources in M

To effectively work with different data sources, you need a good grasp of M’s capabilities for more dynamic and flexible data transformations. It’s essential to understand how M can be used to customize and parameterize data source connections. In short, this will help you to enhance reusability and facilitate easy adjustments to queries without manual code modification, thus saving you time later down the line.

In the following sections, you will learn about how to actually go about creating parameters with the help of examples for you to follow along and implement in your own environment.

Creating parameters and variables

Parameters and variables can be used for a number of different uses in M queries. One of which is to allow you to decouple your data source details from your M query, making it easy to switch between different sources. By defining parameters for key attributes such as file paths or server addresses, you can change...

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