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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

Parameters in Power Query play an important role in making queries dynamic. Think of them as variables that you can tweak to change the behavior of your queries. As you go through this chapter, you’ll discover how parameters are a useful building block for storing and managing values. We will delve into what they are, how you can create one, and look at where and how to use them.

Understanding parameters

Parameters are placeholders that make it easy to adapt and manage your queries. They allow for the input of scalar values like dates, numbers, or text, without the need to hardcode these values directly into the queries. This design enables you to make external modifications to a single parameter, which then automatically propagates updates across multiple queries or steps within a query.

Typical use cases for using parameters provide flexibility by allowing a user to:

  • Choose a server and database name. This allows users to switch between development...

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