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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

Summary

In this chapter, we’ve set the stage for you to confidently step beyond the confines of the UI, by introducing a low-code approach to kickstart that journey. This shift in your ability will provide access to a vast number of functions that will enhance your data transformation capabilities further.

We explored working with lists, records, and tables, including when nested inside other structures or when mixed. The aim has been to provide you with practical techniques for extracting, reshaping, and transforming these values, occasionally showcasing multiple methods that achieve the same outcome and thereby highlighting the flexibility of the M language.

Understanding each dataset comes with its unique challenges and requirements. We presented a variety of examples covering a wide range of scenarios. Whether straightforward, like selecting data, or more intricate, the goal has been to inspire and prepare you for a wide range of potential puzzles that might find...

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