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  • Book Overview & Buying The Definitive Guide to Power Query (M)
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The Definitive Guide to Power Query (M)

The Definitive Guide to Power Query (M)

By : Greg Deckler, Rick de Groot, Melissa de Korte
4.8 (35)
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The Definitive Guide to Power Query (M)

The Definitive Guide to Power Query (M)

4.8 (35)
By: Greg Deckler, Rick de Groot, Melissa de Korte

Overview of this book

Data transformation is a critical step in building data models and business intelligence reports. Power Query is an invaluable tool for anyone who wants to master data transformation, and this book will equip you with the knowledge and skills to make the most of it. The Definitive Guide to Power Query (M) will help you build a solid foundation in the Power Query M language. As you progress through the chapters, you'll learn how to use that knowledge to implement advanced concepts and data transformations. This will set the stage for an uncompromisingly thorough exploration of the Power Query M Language. You'll also get to grips with optimizing performance, handling errors, and implementing efficient data processing techniques. As this is a hands-on guide, the practical examples in the chapters will help you gain the skills to apply Power Query to real-world problems and improve your data analysis capabilities. By the end of this book, you will be able to leverage all of Power Query's remarkable capabilities for data transformation. *Email sign-up and proof of purchase required
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
18
Index

Error detection

When working in Power Query, encountering errors is a natural part of the development process, regardless of whether you design queries through the user interface (UI), modify existing code, or write M code from scratch.

When you add “real-world” data into the mix, errors become a part of life that you have to deal with and manage, a process that starts with error detection.

Errors are classified into two types:

  • Step-level errors
  • Cell-level errors

What separates the two is their containment.

Step-level errors propagate to the top-level expression and cause the evaluation of the entire query to terminate, causing the query to fail. To address step-level errors, it’s essential to determine where the error was raised. The Applied Steps section within the Query Settings pane is where you need to go for a step-by-step evaluation of your query. By selecting each step and evaluating it, starting all the way at the...

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