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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 (39)
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The Definitive Guide to Power Query (M)

The Definitive Guide to Power Query (M)

4.8 (39)
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.
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
18
Index

Parameters and Custom Functions

The M language is a functional language containing hundreds of functions suited for a great number of tasks. At first, the standard function library will likely meet most of your transformation needs. However, once you run into more challenging situations with the M language, you will find that being able to write your own custom functions opens up new possibilities; it can greatly simplify the data transformation process and make it so you can easily repeat complex logic. This is especially true when you leverage a feature like creating a function, which allows you to transform existing queries into dynamic, reusable functions. The biggest benefit here is that you can set up your logic once and apply it with ease everywhere else. If you need to modify your logic later, simply update your function. This change will automatically propagate to all queries using that function.

Accordingly, this chapter covers the following:

  • Parameters
  • ...

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