Book Image

Data Cleaning with Power BI

By : Gus Frazer
Book Image

Data Cleaning with Power BI

By: Gus Frazer

Overview of this book

Microsoft Power BI offers a range of powerful data cleaning and preparation options through tools such as DAX, Power Query, and the M language. However, despite its user-friendly interface, mastering it can be challenging. Whether you're a seasoned analyst or a novice exploring the potential of Power BI, this comprehensive guide equips you with techniques to transform raw data into a reliable foundation for insightful analysis and visualization. This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You’ll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you’ll explore Power BI’s data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. Finally, you’ll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier. By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools for effective data preparation.
Table of Contents (23 chapters)
Free Chapter
1
Part 1 – Introduction and Fundamentals
6
Part 2 – Data Import and Query Editor
11
Part 3 – Advanced Data Cleaning and Optimizations
16
Part 4 – Paginated Reports, Automations, and OpenAI

Summary

Incorporating Power Automate into your data cleaning workflows for Power BI can significantly enhance efficiency and reliability. By automating triggers, notifications, and data refresh processes, you not only save time but also ensure that your data is consistently prepared for impactful analyses. Following best practices in planning, testing, security, and documentation will further contribute to the success of your automated data cleaning endeavors.

In this chapter, you learned how to use Power Automate to automate or sequence your refreshes, how to create alerts or notifications, and how to use the actions to create snapshot files of your data in CSVs. The automation of Power BI data refresh processes, either through scheduled refreshes or event-based triggers, was explored to ensure up-to-date reports for dynamic datasets. We concluded with some best practices for utilizing Power Automate, encompassing workflow planning, error handling, testing, security considerations...