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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

Optimizing Performance

While returning accurate data is important, the speed of your queries greatly affects the user experience. Long refresh times for your datasets may result in timeouts, and waiting for the results of your transformations in the Power Query editor can be frustrating. In this chapter, we will delve into strategies to optimize the performance of your queries. We will first look at memory usage when evaluating queries and how using too much memory slows down your queries. We will then look at different strategies to prevent this from happening.

We’ll look at the importance of query folding and how you can ensure that the data source processes as many transformations as possible. Then, we’ll cover the formula firewall, a tool designed to protect your queries from exposing sensitive information. We’ll explain what triggers errors related to this and discuss its effect on your queries. Additionally, we’ll examine how storing data in memory...

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