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Data Cleaning with Power BI

Data Cleaning with Power BI

By : Frazer
5 (7)
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Data Cleaning with Power BI

Data Cleaning with Power BI

5 (7)
By: 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)
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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

Understanding the basics of data modeling

In Chapter 5, Importing Data into Power BI, you were introduced to some key topics when it comes to importing data, such as dimension modeling, star schemas, and normalization/denormalization. This chapter will build upon this with further knowledge of the basics, introducing concepts such as bidirectional cross-filtering, cardinality, and other best practices.

Here is a summary of some of the basics to consider in this space. To highlight them, this section provides high-level descriptions along with some high-level examples.

Importing versus DirectQuery

In Power BI, we have two main methods of bringing data into our model: importing data and using DirectQuery. Let’s have a brief overview of each to help get you up to speed on the difference between them.

Importing

Importing refers to the method of loading and storing data within a Power BI file itself. When you import data, Power BI brings a copy of the data into its...

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